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Showing papers from Massachusetts Institute of Technology Show all papers

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arXivMassachusetts Institute of Techn Long-context modeling

Triadic Linear Attention: Three-Dimensional Recurrent States for Long-Context Sequence Modeling

Triadic linear attention uses 3D tensor states via triadic outer products to scale recurrent state size efficiently, substantially improving long-context modeling and recall.

Oliver Sieberling, Bharat Runwal, David Jin, Ryan Chin and 2 more

Published Sep 29, 2026 · 0 citations · ▲ 27 on Hugging Face · Code ★ 10

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arXivU Washington Massachusetts Institute of Techn Long-context modeling

Context Language Models

Context language models treat context as self-modified files to learn context management, outperforming external strategies with lower compute and enabling in-context and parametric learning of management strategies.

Rulin Shao, Shannon Zejiang Shen, Junjie Oscar Yin, Yuetai Li and 9 more

Published Sep 29, 2026 · 0 citations · ▲ 43 on Hugging Face · Code ★ 595

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arXivMassachusetts Institute of Techn LLM pretraining & scaling laws

HRM-Text: Efficient Pretraining Beyond Scaling

HRM-Text replaces Transformers with a hierarchical recurrent model and trains on instruction pairs to achieve competitive 1B-parameter performance with 100, 900x fewer tokens and far less compute.

Guan Wang, Changling Liu, Chenyu Wang, Cai Zhou and 5 more

Published May 20, 2026 · 0 citations · ▲ 322 on Hugging Face · Code ★ 2,134

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ACL 2026U Washington New York Massachusetts Institute of Techn Stanford Test-time compute

When One LLM Drools, Multi-LLM Collaboration Rules

Multi-LLM collaboration outperforms single LLM reasoning on tasks where individual models fail, demonstrating collective rule over solo drooling.

Shangbin Feng, Wenxuan Ding, Alisa Liu, Zifeng Wang and 9 more

Published 2026 · 1 citation

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ACL 2025Singapore-MIT Alliance for Resea National University of Singapore Massachusetts Institute of Techn Efficient inference & serving

TETRIS: Optimal Draft Token Selection for Batch Speculative Decoding

TETRIS selects optimal draft tokens for batch speculative decoding, improving inference speed and efficiency across varied batch sizes.

Zhaoxuan Wu, Zijian Zhou, Arun Kumar Verma, Alok Prakash and 2 more

Published 2025 · 0 citations

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PreprintU California, Los Angeles Massachusetts Institute of Techn Multi-agent LLM systems

TradingAgents: Multi-Agents LLM Financial Trading Framework

TradingAgents proposes a multi-agent LLM framework with specialized trading roles and collaborative dynamics, outperforming baselines on cumulative returns, Sharpe ratio, and drawdown.

Xiao, Yijia, Edward W. Sun, Luo, Di, Wei Wang

Published Dec 28, 2024 · 6 citations · ▲ 150 on Hugging Face · Code ★ 110,044

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NeurIPS 2026The University of Hong Kong U Waterloo UCSC Meta Massachusetts Institute of Techn Unified multimodal models

Tuna-2: Pixel Embeddings Beat Vision Encoders for Multimodal Understanding and Generation

Tuna-2 replaces vision encoders with patch embeddings for end-to-end pixel-space multimodal understanding and generation, achieving state-of-the-art results that outperform encoder-based designs at scale.

Zhiheng Liu, Weiming Ren, Xiaoke Huang, Shoufa Chen and 11 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 70 on Hugging Face · Code ★ 756

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NeurIPS 2026MIT Massachusetts Institute of Techn Toyota Research Institute Video generation

MilliVid: Adaptive Latents for Long-Range Consistency in Video Generation

Ishaan Chandratreya, David Charatan, Basile Van Hoorick, Sergey Zakharov and 3 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026U Bern Massachusetts Institute of Techn MIT Long-context modeling

Scaling Limits of Long-Context Transformers

Giuseppe Bruno, Chen, Zhengjiang Lin, Yury Polyanskiy and 1 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026OralMassachusetts Institute of Techn Microsoft Princeton MIT Weather & climate

Mechanism-Aware Ensemble Conditioning for Data-Limited Emulation of Extreme Events

Isabella Thiel, Juan M. Bello-Rivas, Yannis Kevrekidis, Themis Sapsis

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026MIT Northwestern Massachusetts Institute of Techn Human-AI interaction

AI-Assisted Classification under Correlation Neglect and Trust

Saurabh Amin, Amine Bennouna, Daniel Huttenlocher, Dingwen Kong and 2 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn MIT Data attribution

When Are Semivalue-Based Decisions Identifiable? Robust Data Selection under Utility Ambiguity

Hannah Diehl, Justin Steil, Ashia Wilson

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn Physics-informed ML & PDEs

GLOBE: Accurate Surrogates for Boundary-Driven PDEs via Domain-Inspired Architectures and Equivariance

Peter Sharpe

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn MIT Causal inference

Causal Inference for Sequential Settings under Interference and Latent Confounding

Phevos Paschalidis, Constantinos Daskalakis, Devavrat Shah

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026SpotlightMassachusetts Institute of Techn MIT Information retrieval

Is Dimensionality a Barrier for Retrieval Models?

Kiril Bangachev, Guy Bresler, Jonathan Kogan, Yury Polyanskiy

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026MIT CSAIL Computer Science, Stanford MIT Massachusetts Institute of Techn Agent memory

PEEK: Context Map as an Orientation Cache for Long-Context LLM Agents

Zhuohan Gu, Qizheng Zhang, Omar Khattab, Samuel Madden

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn Department of Computer Science, U Wisconsin Madison Kernels & Gaussian processes

Approximate Matrix–Vectors Under a Bounded $\ell_1$ Assumption and Applications to Kernel Matrices

Rikhav Shah, Sandeep Silwal, Tony C Wang

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026Peking ByteDance Stanford The Chinese University of Hong K Massachusetts Institute of Techn Video generation

Spatially-Grounded Long Video Generation with Self Geometry Forcing

Chenguo Lin, Panwang Pan, Bowen Xue, Ruijie Lu and 4 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Air Force - MIT AI Accelerator Indian Institute of Technology M MIT Massachusetts Institute of Techn Explainable AI

Causal Concept Explanations for Deep Neural Models

Joshua Rountree, Pulkit Verma, Oswin So, Chuchu Fan and 1 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026MIT Massachusetts Institute of Techn Test-time compute

Early Signals, Strong Decisions: Prefix-Guided Sampling for Parallel Test-Time Scaling

Jie Ren, Jonathan S Rosenfeld, Neil Thompson

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn MIT Active learning

Reduced Cost Influence Functions for Predict-then-Optimize under Noisy Data

William Zhang, Saurabh Amin, Georgia Perakis

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn MIT UCSF Representation & contrastive learning

The Optimization Prior: Instilling depth for shallow networks, detail for coarse networks

Vighnesh Subramaniam, Boris Katz, Brian Cheung

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn MIT Olin College of Engineering LLM pretraining & scaling laws

On the Origin of Algorithmic Progress in AI: Evidence from Language Model Pre-Training

Hans Gundlach, Alex Fogelson, Jayson Lynch, Ana Trisovic and 3 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn U Zurich ETHZ - ETH Zurich Google DeepMind & MIT Multi-agent LLM systems

Belief Engine: Configurable Stance Dynamics for Multi-Agent LLM Deliberation

Joshua C Yang, Maurice Flechtner, Damian Dailisan, Michiel Bakker

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026OralMIT Massachusetts Institute of Techn TU Munich Self-supervised vision

Shaping Useful Noise: Energy Distributions Predict Visual Pretraining Quality

Ching Lam Choi, Antonio Torralba, Phillip Isola, Stefanie Jegelka

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn U Electronic Science and Technol Tsinghua Southwest Jiaotong New Jersey Institute of Technolo Domain adaptation

Learning Domain Trajectories with Flow Matching for Gradual Domain Adaptation

Yubo Huang, Zixi Wang, Yushe Cao, Jingzehua Xu and 3 more

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026Harvard Massachusetts Institute of Techn Arcada Labs Design Arena, Harvard Agent benchmarks & environments

AudioAgentBench: Evaluating Multi-Turn Voice Agents on Real-World Tasks

Gardenia Liu, Yi-Hao Peng, Kamryn Ohly, Oliver Johansson and 3 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026U Michigan Massachusetts Institute of Techn Massachusetts Institute of Techn Deep learning theory

Topological Invariance and Breakdown in Learning Dynamics

Yongyi Yang, Tomaso Poggio, Isaac Chuang, Liu Ziyin

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn UT Austin MIT Diffusion models

Self-Cleaning Diffusion Models

Adrian Rodriguez-Munoz, Adam Klivans, Antonio Torralba, Constantinos Daskalakis and 1 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026The Hong Kong University of Scie Hunan Tsinghua Tsinghua University, Tsinghua Stanford Embodied agents

Decoupling Action from Egocentric Observation for World Simulation

Yue Ma, Pengjie Song, Xinyu Wang, Yi He and 9 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn MIT RL for LLMs

Reinforcement Learning with Verifiable Physics: Post-training LLMs for PDE Solver Generation

Pengfei Cai, Utkarsh Utkarsh, Alan Edelman, Christopher Rackauckas and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn Max Planck Institute of Biochemi MIT / Seoul national university Agent benchmarks & environments

M4Bench: Evaluating Procedural Specification for Clinical EHR Derivation Agents

Hannes Ill, Rafi Al Attrach, Rajna Fani, Ahram Han and 4 more

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026U California, Berkeley Seoul National ELLIS Unit Linz & LIT AI Lab Massachusetts Institute of Techn KU Leuven Visual grounding

Visual Grounding First, Multimodal In-context Learning Follows

Minhyuk Seo, Minjae Lee, Chaeeun Lee, Wei Lin and 3 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn MIT Anthropic Explainable AI

Introspective Coupling: LMs Learn to Explain Themselves Better Than Their Training Targets

Zifan Carl Guo, Laura Ruis, Jacob Andreas, Belinda Z Li

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Salesforce AI Research Lehigh SalesForce.com Massachusetts Institute of Techn Salesforce Inc Web & GUI agents

CLIFT: Conformal Self-Verification for Web Agent Training and Test-Time Scaling

Yifan Zhang, Yutong Dai, Viraj Prabhu, Zhiyuan Hu and 2 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn Jailbreaks & red teaming

PoSafeNet: Structured Safety Learning via Compositional Projection

Kiwan Wong, Wei Xiao, Daniela Rus

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn Worcester Polytechnic Institute MIT Backdoors & data poisoning

Poison-then-Hide: Finetuning-Activated Backdoor Attack on Pretrained Vision Encoders

Qixuan Jin, Abinitha Gourabathina, Vinith Suriyakumar, Walter Gerych and 1 more

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn IBM, International Business Mach International Business Machines Tabular data

RAD-TFM: Robust and Domain-Adapted Tabular Foundation Models

Matthew Peroni, Franck Le, Vadim Sheinin

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026MIT Carnegie Mellon New York OpenAI Massachusetts Institute of Techn Game playing

A Regularization-Based Approach to Public Belief State Search for Adversarial Games

Sobhan Mohammadpour, Samuel Sokota, Brandon Kaplowitz, Zico Kolter and 2 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn U Washington MIT Google National Tsing Hua Image recognition

Neural Refraction Fields for Image Verification

Sage Simhon, Jingwei Ma, Prafull Sharma, Lucy Chai and 2 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026U Amsterdam / National Taiwan U Amsterdam Massachusetts Institute of Techn Mechanistic interpretability

JEPAWG: Interpretable Hypernetworks for Weight-Space Physics

Tobias Göbel, Julian R Ebelt, Zier Mensch, Mathis Gerdes and 1 more

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026SpotlightTsinghua Microsoft U Toronto Massachusetts Institute of Techn Research, Microsoft Multi-agent LLM systems

STAR-Math: Multi-Agent Mathematical Reasoning under Persistent Meta-Strategic Supervision

Jiaao Wu, Xian Zhang, Hanzhang Liu, Sophia Zhang and 2 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn Michigan State MIT-IBM Watson AI Lab Representation & contrastive learning

Dynamic Convolutions Improve Transformers

Oliver Sieberling, Bharat Runwal, Rameswar Panda, Yoon Kim

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn Quantization

BiLoCo: Binary Low-Rank Corrections for LLM FP4 Decode

David Jin, Beshr IslamBouli, Tarushii Goel, Han Guo and 1 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026MIT Massachusetts Institute of Techn International Centre for Theoret Representation & contrastive learning

The Marauder’s Map: Bézier Manifolds Reveal Hidden Surfaces for Model Merging and Ensembling

Abhiram Iyer, Mark T Harnett, Sarthak Chandra

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn Harvard Molecules & drug discovery

StereoPep: Do Molecular Models Understand Stereochemistry? A Benchmark on Synthetic Diastereomeric Peptides

Michael Desgagné, Amirabbas Kazeminia, Kübra Kaygisiz, Bradley Pentelute and 1 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn MIT U Wisconsin Madison Bayesian & probabilistic methods

From Likelihood Convergence to Parameter Convergence in POMDPs

Jack Zhang, Saurabh Amin, Jiawei zhang, Patrick Jaillet

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026MIT U Washington Massachusetts Institute of Techn Learning theory

Tropical Gaussian Anticoncentration: Settling Optimal Instance-Dependent Bounds for Online Learning in Extensive-Form Games

Ashkan Soleymani, Zhiyuan Fan, Lillian Ratliff, Patrick Jaillet and 1 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026MIT Massachusetts Institute of Techn Continual learning

When to Adopt Model Updates

Aspen Hopkins, Isabella Struckman, Hedi Driss, Aleksander Madry

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026MIT Massachusetts Institute of Techn Learning theory

Exact-Form Regret and Conservative Correlated Equilibria

Ashkan Soleymani, Patrick Jaillet, Gabriele Farina

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026MIT Massachusetts Institute of Techn Google DeepMind Optimization

Homological Barriers to Stable Local Nash Dynamics in Quadratic Zero-Sum Games

Ashkan Soleymani, Gabriele Farina, Patrick Jaillet, Georgios Piliouras

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026MIT Massachusetts Institute of Techn Optimization

Resolvent Ellipsoid for Minty Set Inclusions

Ashkan Soleymani, Gabriele Farina, Patrick Jaillet

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn Deep learning theory

Understanding Double Descent through Universal Compression

Jiaxuan Cheng, Addison Spiegel

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026Caltech California Institute of Technolo MIT Massachusetts Institute of Techn U Washington Physics-informed ML & PDEs

CFC26: Building Evaluations for Deployment in Sonar-Based Fish Counting

Madison Van Horn, Suzanne Stathatos, Sevan Brodjian, Justin Kay and 5 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn CMU Virginia Polytechnic Institute a Carnegie Mellon Representation & contrastive learning

Position: Neurosymbolic AI is a strong technical foundation for trustworthy, deployable AI by design

Chandler Squires, Yaqi Xie, Simon Stepputtis, Katia Sycara and 1 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn U Chicago Mechanistic interpretability

Loyalty Capture: Reporting Relationships and Structural Sycophancy in Frontier AI Models

Eric So, Alex Imas

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026U Michigan - Ann Arbor Stanford / UT-Austin Ohio State University, Columbus Stanford Massachusetts Institute of Techn LLM agents & planning

Agent-Native Research Artifacts

Jiachen Liu, Jiaxin Pei, Jintao Huang, Chenglei Si and 33 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn Harvard Harvard Mechanistic interpretability

Algorithmic Impact Reveals the Hidden Structure of Alignment

Zachary Wojtowicz, Michelle Si, Finale Doshi-Velez, Ariel Procaccia

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026Harvard Business School Massachusetts Institute of Techn Google DeepMind & MIT AI oversight & deception

AI Safety Evaluations Need More Human-AI Experiments

Michelle Vaccaro, Jaeyoon Song, Abdullah Almaatouq, Michiel Bakker

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026KTH Royal Institute of Technolog Harvard Mistral AI Stanford Cambridge, Alan Turing Institute Reward models & LLM-as-a-judge

A Matter of Interest: Understanding Interestingness Judgments of Math Problems in Humans and Language Models

Shubhra Mishra, Yuka Machino, Gabriel Poesia, Albert Q. Jiang and 8 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn U Pennsylvania Mechanistic interpretability

Transfer Entropy as a Measure of Information Flow in VLMs and LLMs

Jessica E Liang, Jianbo Shi

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn MIT Harvard New York Instituto de Astrofisica De Cana Physics-informed ML & PDEs

Learning What's Real: Disentangling Signals and Measurement Artifacts in Multi-Sensor Data, with Applications to Astrophysics

Pablo Mercader-Perez, Carolina Cuesta Lazaro, Daniel Muthukrishna, Jeroen Audenaert and 4 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026ETH Zürich Massachusetts Institute of Techn KU Leuven MIT Technion - Israel Institute of T Time series foundation models

PhyTS: A Benchmark for Scientific Time Series

Benedict Armstrong, Jeroen Audenaert, Hannah P Binney, Alice Cheng and 22 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Stanford Massachusetts Institute of Techn U California, Berkeley MIT In-context learning & prompting

Prompt-Driven Exploration

Sunshine Jiang, John Marangola, David Zhang, Raghuram Kowdeed and 5 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026U Cambridge Sanger Institute U Stellenbosch Carnegie Mellon U Cambridge Welcome Sanger Genomics & single-cell

PRISM: Phenotype-Resolved Inference in Single-Cell Mixed Models via Latent Disease States and Contextualized Differential Expression

Andrea Rubbi, Lama Salem, Caleb Ellington, Pietro Lió and 3 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Voyage AI U Waterloo VoyageAI Massachusetts Institute of Techn Anthropic Generation evaluation

RTEB: An Overfitting-Resistant Benchmark for Embedding Model Evaluation

Sahil Verma, Minghan Li, Andrew Gaut, Yujie Qian and 14 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn Bayesian & probabilistic methods

Deep Ensembles for Epistemic Uncertainty: A Frequentist Perspective

Anchit Jain, Stephen Bates

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Harvard Massachusetts Institute of Techn the Kempner Institute for the St UC San Diego U Cambridge 3D vision & reconstruction

Unified Generative-Predictive Modeling for 4D Scene Understanding

Amani Kiruga, Zhiyi Li, Ruojin Cai, Hansen Lillemark and 3 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026MIT MIT Lincoln Laboratory, Massachu Boston University, Boston Massachusetts Institute of Techn Offline RL

LASER: Latent Space Adjoint Matching for Support Constrained Entropy Regularized Offline RL

Songyuan Zhang, Oswin So, Eric Yu, Matthew Cleaveland and 2 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026UT Austin Massachusetts Institute of Techn RIKEN HKBU / RIKEN Carnegie Mellon Machine unlearning

On the Fragility of Latent Knowledge: Layer-wise Influence under Unlearning in Large Language Model

Jianing Zhu, Zongze Li, Chandler Squires, Qizhou Wang and 2 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn Jailbreaks & red teaming

Adaptive Test Case Discovery for LLM-Assisted Decision Making in High-Stakes Domains

Anjali Parashar, Carson Sobolewski, Yingke Li, Fei Chen and 1 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn MIT Probing & representation analysis

From Representation to Intervention: Using Emotion Vectors to Monitor and Guide Language Models

Georgia Dimaki, Martin Villanueva Dimakis

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026U Toronto U Massachusetts Boston IIT Madras San Jose State U Alberta Deep RL

Reinforcement Learning Agents Are Swimmers

Juan Rojas, Jacob Adamczyk, Abhishek Naik, Volodymyr Makarenko and 5 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Virginia Tech Apple U Michigan - Ann Arbor Virginia Polytechnic Institute a The Ohio State Controllable generation

TaxaAdapter: Scaling Fine-grained Species Image Generation To the Tree of Life

Mridul Khurana, Amin Karimi Monsefi, Justin Lee, Medha Sawhney and 8 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn NVIDIA Nvidia New York Jailbreaks & red teaming

MLLMs Fail to Refuse when Using Tools Agentically

Rikiya Takehi, Ryo Hachiuma, Shaona Ghosh, Dan Zhao and 2 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026U Washington Massachusetts Institute of Techn Time series forecasting

Ensemble Modeling for Time Series Forecasting: an Adaptive Robust Optimization Approach

Adaptive robust optimization builds time-varying linear ensembles of forecasting models that reduce error by 16, 26% and risk by 14, 28% versus best single members and competing methods.

Leonard Boussioux, Henry Mao, Dimitris Bertsimas

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn Carnegie Mellon Quantization

A Differentiable Interior-Point Method in Single Precision

Differentiable interior-point optimization uses alternative complementarity to keep linear systems spectrally bounded, enabling reliable single-precision solving and differentiation.

Jon Arrizabalaga, Kevin Tracy, Zac Manchester

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn MIT CSAIL MIT Amazon UCSF Efficient inference & serving

Network of Theseus (Like the ship)

Network of Theseus progressively replaces guide network modules with a different target architecture via representational alignment, preserving performance across vastly different deployed architectures.

Vighnesh Subramaniam, Colin Conwell, Boris Katz, Andrei Barbu and 1 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn MIT Diffusion models

Specificity-Aware Diffusion Steering via Variance-Reduced Sequential Monte Carlo

Specificity-aware diffusion steering uses variance-reduced sequential Monte Carlo to suppress undesired regions with minimal positive distribution distortion.

Luran Wang, Linrui Ma, Hannes Stark, Regina Barzilay

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Flatiron Institute + NYU Genentech Massachusetts Institute of Techn New York Deep learning theory

How I learned to stop worrying and love StopGrads: Stationarity, Convergence, and a case study on Flow Map Learning

A stopgrad regression principle characterizes stationary points of stopgrad objectives and proves convergence to true flow maps while halving training memory.

Mark Goldstein, Max Shen, Zichu Wang, Aahlad Manas Puli and 1 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn LLM evaluation & benchmarks

Overcoming State Inertia in Full-Duplex Spoken Language Models via Activation Steering

Full-duplex spoken language models exhibit state inertia that delays perceptual transitions during interruptions, and activation steering improves interruption handling substantially without fine-tuning.

Cheng-Kuang Chang, Kai-Wei Chang, Alexander Liu, Jim Glass

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 1 on Hugging Face

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NeurIPS 2026SpotlightMassachusetts Institute of Techn MIT Diffusion models

The Value of Covariance Matching in Gaussian DDPMs and the Lanczos Sampler

Matching full posterior covariance in Gaussian DDPMs reduces path-KL error to O(1/T²), and the matrix-free Lanczos Gaussian sampler achieves this with exponentially decaying approximation error using only Jacobian-vector products.

Sahil Akhtar, Aymane El Gadarri, Vivek Farias, Adam Jozefiak

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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70%Highly rated

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NeurIPS 2026Massachusetts Institute of Techn Efficient & distributed training

Exact Instance Compression for Convex Empirical Risk Minimization via Color Refinement

A lossless color-refinement framework compresses convex empirical risk minimization instances exactly, accelerating linear, logistic, and kernel regression solvers.

Bryan Zhu, Ziang Chen

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026School of Engineering and Applie Harvard MIT Fudan Massachusetts Institute of Techn Agent benchmarks & environments

AI GAMESTORE: Scalable, Open-Ended Evaluation of Machine General Intelligence with Human Games

AI GameStore proposes evaluating general intelligence via scalable synthesis of human games, finding frontier vision-language models score under 10% of human averages on most generated games.

Lance Ying, Ryan Truong, Prafull Sharma, Kaiya Zhao and 8 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 9 on Hugging Face

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NeurIPS 2026Massachusetts Institute of Techn Shanghai Jiao Tong MIT Molecules & drug discovery

GLACIER: Rethinking Mass Spectrum Prediction as an Object Detection Problem

GLACIER treats tandem mass spectrum prediction as graph object detection, outperforming prior state-of-the-art by up to 19.3% on retrieval accuracy with nearly 8-fold faster inference.

Rui-Xi Wang, Runzhong Wang, Connor Coley

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn Max Planck Institute of Biochemi Helmholtz Zentrum München Barcelona Supercomputing Center Google Datasets & benchmarks

Croissant Baker: Metadata Generation for Discoverable, Governable, and Reusable ML Datasets

Croissant Baker generates validated Croissant metadata locally from dataset directories via modular handlers, achieving 97, 100% agreement with ground truth across 140+ datasets including MIMIC-IV.

Rafi Al Attrach, Rajna Fani, Sebastian Lobentanzer, Joan Giner-Miguelez and 16 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Anthropic Massachusetts Institute of Techn Transluce UC Berkeley, Transluce AI MIT Mechanistic interpretability

Training Language Models to Explain Their Own Computations

Fine-tuning language models on interpretability ground truth teaches them to describe their internal computations, with self-explanation outperforming larger external explainers.

Belinda Z Li, Zifan Carl Guo, Vincent Huang, Jacob Steinhardt and 1 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 1 on Hugging Face · Code ★ 38

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NeurIPS 2026Massachusetts Institute of Techn Cornell Tech MIT LLM evaluation & benchmarks

The Subjectivity of Monoculture

Monoculture evaluation depends on subjective null-model choices and evaluated model populations, making model agreement a context-dependent inference rather than an absolute property.

Nathanael Jo, Nikhil Garg, Manish Raghavan

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026National University of Singapore Google DeepMind MIT Massachusetts Institute of Techn LLM reasoning & chain of thought

An Enigma of Artificial Reason: Investigating the Production-Evaluation Gap in Large Reasoning Models

LRMs show a large production-evaluation gap, scoring near 48% on reasoning evaluation versus near-perfect production due to answer confirmation bias.

Mingzhong Sun, Teresa Yeo, Armando Solar-Lezama, Tan Zhi-Xuan

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 6 on Hugging Face

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NeurIPS 2026Massachusetts Institute of Techn U Arkansas - Fayetteville University Medical Center Hambur Computational neuroscience

Decomposing the modulation of interactions between neuronal populations

A low-rank tensor extension of communication subspaces decomposes how third variables multiplicatively gate interactions between neural populations via multiplicative interaction channels.

Marco Celotto, J. S Sooter, Sofie Ährlund-Richter, Kyle R Jenks and 2 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026National University of Singapore Singapore-MIT Alliance for Resea Massachusetts Institute of Techn Adversarial robustness

BarrierSteer: LLM Safety via Learning Barrier Steering

BarrierSteer embeds learned nonlinear safety constraints as control barrier functions into LLM latent space to steer unsafe generation trajectories, substantially reducing adversarial success rates without modifying model weights.

Thanh Q. Tran, Arun Verma, Kiwan Wong, Bryan Kian Hsiang Low and 2 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 1 on Hugging Face

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NeurIPS 2026Massachusetts Institute of Techn Facebook The Ohio State Meta Bytedance Inc.Unified multimodal models

Unifying Contrastive and Generative Objectives for Visual Understanding and Text-to-Image Generation

DREAM unifies contrastive and generative objectives via Masking Warmup, yielding joint visual understanding gains and faster, higher-quality text-to-image generation.

Chao Li, Tianhong Li, Sai V Nuthalapati, Hong-You Chen and 8 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 6 on Hugging Face

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NeurIPS 2026Massachusetts Institute of Techn Agent memory

Remember with Confidence: Uncertainty Quantification for Spatio-temporal Memory with Probabilistic Guarantees

UQ-DAAAM introduces object-level semantic uncertainty for multi-view VLM memory and actively refines uncertain descriptions under a fixed budget with probabilistic guarantees, improving spatio-temporal reasoning.

Harry Zhang, Nicolas Gorlo, Luca Carlone

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Apple Massachusetts Institute of Techn Deep RL

TGPO: Temporal Grounded Policy Optimization for Signal Temporal Logic Tasks

TGPO decomposes signal temporal logic into timed subgoals and invariant constraints for hierarchical reinforcement learning, achieving 31.6% higher success rates than baselines on complex long-horizon robotics tasks.

Yue Meng, Fei Chen, Chuchu Fan

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 3 on Hugging Face · Code ★ 2

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NeurIPS 2026Northeastern Massachusetts Institute of Techn Multi-agent RL

Robust Instruction Compliance in Cooperative Multi-Agent Reinforcement Learning

MAVIC corrects Bellman backups at instruction boundaries to maintain consistent value estimates under stochastic instruction switching, achieving high compliance with preserved cooperative task performance.

Wo Wei Lin, Ethan Rathbun, Enrico Marchesini, Xiang Zhi Tan

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn Computer Science and Artificial IST Austria & NeuralMagic IBM Research MIT/Neuralmagic Pruning & sparsity

The Sparsity Whisperer

Difference-informed pruning preserves output differences via difference-aware weight scoring, improving LLM sparsity over activation and reconstruction baselines at minimal cost.

Linghao Kong, Inimai Subramanian, Micah Adler, Dan Alistarh and 2 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Harvard Massachusetts Institute of Techn School of Engineering and Applie MIT IIIS, Tsinghua Multi-agent LLM systems

Economy of Minds: Emerging Multi-Agent Intelligence with Economic Interactions

A decentralized agent economy using auctions and economic selection emerges multi-step reasoning and outperforms monolithic baselines without centralized coordination.

Zhenting Qi, Ao Qu, Huangyuan Su, Chenyu Wang and 12 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 10 on Hugging Face · Code ★ 59

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NeurIPS 2026MIT Massachusetts Institute of Techn In-context learning & prompting

LLMs can construct powerful representations and streamline sample-efficient supervised learning

LLMs generate global and local rubrics to standardize multimodal inputs, significantly outperforming clinical baselines on 15 EHRSHOT tasks via sample-efficient supervised learning.

Ilker Demirel, Lawrence Shi, Zeshan Hussain, David Sontag

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026Renmin University of China Beijing Institute of Technology Aptura AI Columbia Massachusetts Institute of Techn Agent benchmarks & environments

SpreadsheetBench 2: Evaluating Agents on End-to-End Business Spreadsheet Workflows

SpreadsheetBench 2 evaluates agents on end-to-end spreadsheet workflows, finding best models achieve only 34.89% accuracy with debugging at 12%.

Jian Zhu, Yuzheng Zhang, Zeyao Ma, Bohan Zhang and 10 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · Code ★ 39

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NeurIPS 2026Massachusetts Institute of Techn Robotics and AI Institute The Robotics and AI Institute The AI Institute RAI Institute Robot manipulation

SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning

SOLE-R1 is a video-language reasoning model providing dense progress rewards for online robot reinforcement learning, enabling zero-shot unseen manipulation without ground-truth rewards and outperforming prior vision-language rewarders with less reward hacking.

Philip Schroeder, Thomas Weng, Karl Schmeckpeper, Eric Rosen and 2 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 1 on Hugging Face

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NeurIPS 2026Centrum voor Wiskunde en Informa Massachusetts Institute of Techn eBay U Connecticut Privacy

PACZero: PAC-Private Fine-Tuning of Language Models via Sign Quantization

PACZero sign-quantizes zeroth-order gradients to achieve zero mutual information fine-tuning with near-baseline accuracy on language models.

Murat Bilgehan Ertan, Xiaochen Zhu, Ha Nguyen, Marten van Dijk and 1 more

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026U California, San Diego Massachusetts Institute of Techn UC San Diego Northwestern Mila; University of Montreal; MI Music

Live Music Diffusion Models: Efficient Fine-Tuning and Post-Training of Interactive Diffusion Music Generators

Live Music Diffusion Models modify diffusion inference with block-wise KV caching to surpass discrete autoregressive efficiency, enabling stable alignment via ARC-Forcing and real-time interactive generation on consumer hardware.

Zachary Novack, Stephen Brade, Haven Kim, Hugo Flores and 5 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 3 on Hugging Face · Code ★ 50

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NeurIPS 2026KU Leuven Department of Electrical Enginee Katholieke Universiteit Leuven KUL Massachusetts Institute of Techn Biosignals & wearables

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces

NeuroAtlas benchmarks EEG foundation models across 42 datasets and finds they largely match generic time-series models without delivering unified clinical EEG performance.

Konstantinos Kontras, Trui Osselaer, Stylianos G Mouslech, Angeliki I. Karaiskou and 11 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Duke Princeton Apple Massachusetts Institute of Techn Stanford Vision-language models

LensVLM: Selective Context Expansion for Compressed Visual Representation of Text

LensVLM lets VLMs scan compressed rendered text and selectively expand only relevant regions via learned tools, maintaining near-full accuracy at 4.3x compression and outperforming baselines up to 10.1x across text QA benchmarks.

Roy Xie, Dan Friedman, Donghan Yu, Bowen Pan and 6 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 7 on Hugging Face

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NeurIPS 2026Massachusetts Institute of Techn U Toronto MIT Materials & chemistry

Fast Organic Crystal Structure Prediction with Unit Cell Flow Matching

Clari predicts organic crystal structures via unit-cell flow matching with pure pair-bias attention, cutting generation to seconds while surpassing OXtal solve rates and supporting non-sanitizable inputs.

Alston Lo, Luka Mucko, Austin Cheng, Andy Cai and 3 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 2 on Hugging Face

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NeurIPS 2026Columbia Allometry Labs Massachusetts Institute of Techn Game playing

Outbidding and Outbluffing Elite Humans: Mastering Liar’s Poker via Self-Play and Reinforcement Learning

Solly achieves elite human-level play in multi-player Liar's Poker via self-play reinforcement learning, outperforming both humans and large language models.

Richard Dewey, Janos Botyanszki, Ciamac C Moallemi, Andrew Zheng

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Princeton Massachusetts Institute of Techn Stanford MIT Purdue Multi-agent LLM systems

Improving the Efficiency of Language Agent Teams with Adaptive Task Graphs

LATTE coordinates LLM teams via shared evolving task graphs that reduce tokens, time, and conflicts while matching or exceeding baseline accuracy.

Elizabeth Mieczkowski, Alexander Ku, Tiwalayo Eisape, Dilip Arumugam and 4 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · Code ★ 6

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NeurIPS 2026Massachusetts Institute of Techn The University of Warwick NVIDIA Molecules & drug discovery

Stein Kernelized Molecular Dynamics for Active Learning of Interatomic Potentials

SKMD introduces symmetry-aware interacting-particle dynamics for active MLIP learning that preserves Boltzmann sampling, yielding faster convergence with fewer training iterations.

Joanna Zou, Fraser Birks, Dallas Foster, Youssef Marzouk

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn Deep learning theory

Training with (Swap) Regret Loss in a Single-Layer Self-Attention Model: A Case Study on the Probability Simplex

Single-layer self-attention trained with regret and swap-regret loss learns smoothed fictitious play and Blum-Mansour dynamics yielding coarse and correlated equilibria without supervised traces.

Chanwoo Park, Asuman Ozdaglar

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026Microsoft Massachusetts Institute of Techn New York Microsoft Research New England Microsoft Research Test-time compute

Reject, Resample, Repeat: Understanding Parallel Reasoning in Language Model Inference

This paper models parallel inference-time reasoning via particle filtering, deriving non-asymptotic guarantees and fundamental limits for sequential Monte Carlo with process reward models.

Noah Golowich, Fan Chen, Dhruv Rohatgi, Raghav Singhal and 3 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026U California, Berkeley Massachusetts Institute of Techn Shanghai Jiaotong Tsinghua NVIDIA ML systems & compilers

Flash-KMeans: Fast and Memory-Efficient Exact K-Means

Flash-KMeans eliminates GPU HBM bottlenecks via fused assignment and inverse mapping updates, delivering up to 17.9x speedups over existing exact k-means implementations.

Shuo Yang, Haocheng Xi, Yilong Zhao, Muyang Li and 9 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 85 on Hugging Face · Code ★ 735

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NeurIPS 2026OralMassachusetts Institute of Techn New York Optimization

The Stability of Online Algorithms in Performative Prediction

No-regret online algorithms unconditionally converge to mixed performatively stable equilibria via randomized martingale arguments, avoiding distribution-response assumptions and PPAD hardness.

Gabriele Farina, Juan C Perdomo

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026U Alberta Massachusetts Institute of Techn MIT U Alberta & Amii Representation & contrastive learning

Measure-to-measure Regression with Transformers

This work formalizes nonlinear measure-to-measure regression and introduces two scalable transformer-based approaches for learning operators between probability distributions. The methods generalize to unseen measures in synthetic experiments, particle systems, and a large-scale colorectal cancer or

Matthew Vandergrift, Martha White, Yury Polyanskiy, Philippe Rigollet and 1 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Yale Massachusetts Institute of Techn Adobe Research MIT & Cartesian Segmentation

MITO: A Millimeter-Wave Dataset and Simulator for Non-Line-of-Sight Perception

MITO introduces millimeter-wave dataset with synthetic aperture imaging and simulator for non-line-of-sight object segmentation and classification.

Tara Boroushaki, Laura Dodds, Cusuh Ham, Fadel Adib

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026Oregon State U Wisconsin - Madison U Wisconsin-Madison Massachusetts Institute of Techn Speech synthesis

Generating the Unheard: Phylogeny-Guided Latent Generation for Ancestral Sound Reconstruction

This framework generates ancestral bird vocalizations by inferring decodable VAE latents guided by phylogenetic traits, achieving genuine generation and naturalistic audio quality.

Tianyi Xu, Shrinaath Narasimhan, Evan Gorstein, Santiago Perea and 2 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn Physics-informed ML & PDEs

Latent Generative Solvers for Generalizable Long-Term Physics Simulation

LGS is a latent generative solver combining a physics VAE, flow-matching transformer, and noised training to stabilize long autoregressive rollouts across diverse PDEs with far less compute.

Zituo Chen, Sili Deng

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026MIT Massachusetts Institute of Techn Optimization

Edge of Stability Selectively Shapes Learning Across the Data Distribution

Edge of stability selectively redistributes learning across data groups via Hessian-aligned gradients and non-vanishing magnitudes, favoring output outliers over saturated ones.

Shauna Kwag, Anakha Ganesh, Tomaso Poggio, Pierfrancesco Beneventano

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026CMU, Carnegie Mellon Carnegie Mellon Massachusetts Institute of Techn Deep learning theory

Concept Modulation Models: A Unified Framework for Identifiability and Extrapolation

Concept modulation models unify conditional latent variable model identifiability and extrapolation via attribute potentials and algebraic criteria for unseen attributes.

Soheun Yi, Yizhou Lu, Chandler Squires, Pradeep Ravikumar

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026Peking Massachusetts Institute of Techn Diffusion models

FlashMol: High-Quality Molecule Generation in as Few as Four Steps

FlashMol uses distribution-matching distillation and timestep respacing to generate high-quality 3D molecular conformations in as few as four steps, achieving up to 250x speedup over teachers.

Xinyuan Wei, Zian Li, Shaoheng Yan, Cai Zhou and 1 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn Stanford Apple Fairness & bias

Accuracy vs. Accuracy: Computational Tradeoffs Between Classification Rates and Utility

Algorithms preserve accurate subpopulation classification rates and enable loss minimization, but simultaneously achieving both is computationally infeasible despite Bayes-optimal feasibility.

Noga Amit, Omer Reingold, Guy Rothblum

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026MIT Massachusetts Institute of Techn Bayesian & probabilistic methods

To discretize continually: Mean shift interacting particle systems for Bayesian inference

Interacting particle systems extend mean shift to continuous distributions, minimizing maximum mean discrepancy via normalizing-constant-invariant dynamics for fast, multi-modal, high-dimensional quadrature.

Ayoub Belhadji, Daniel Sharp, Youssef Marzouk

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026OralMassachusetts Institute of Techn NYU Deep learning theory

Uniform-in-Time Weak Propagation of Chaos in Shallow Neural Networks

Shallow neural networks trained via gradient descent exhibit uniform-in-time weak propagation of chaos, yielding poly(d/ε) neuron and sample complexity when mean-field loss decays faster than t^{-2}.

Margalit Glasgow, Joan Bruna

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn Harvard University, MGH Medical imaging

Why Invariance is Not Enough for Biomedical Domain Generalization and How to Fix It

MaskGen improves biomedical 3D segmentation domain generalization by combining source intensities with foundation model representations for robust cross-site and cross-modality performance.

Sebastian Diaz, Polina Golland, Elfar Adalsteinsson, Neel Dey

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026SpotlightDeel, ANITI, Université Paul Sab Apple U Cambridge Massachusetts Institute of Techn Apple MLR Unified multimodal models

The Design Space of Tri-Modal Masked Diffusion Models

A tri-modal masked diffusion model pretrained from scratch on text, image-text, and audio-text data achieves strong cross-modal generation and introduces an SDE-based batch-size reparameterization.

Louis Bethune, Victor Guilherme Turrisi da Costa, Bruno Mlodozeniec, Pau Rodriguez and 20 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 4 on Hugging Face

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NeurIPS 2026MIT Massachusetts Institute of Techn Domain adaptation

TILT: Target-induced loss tilting under covariate shift

TILT decomposes predictors into main and auxiliary parts, penalizing the latter on unlabeled target data to implicitly weight sources via self-localized, bounded estimands, yielding finite-sample excess risk guarantees and improved domain adaptation performance.

Kakei Yamamoto, Martin Wainwright

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn MIT Segmentation

ConnectomeBench2: A Unified Benchmark for Automated Connectomic Proofreading

ConnectomeBench2 unifies multi-species connectomic proofreading data, and a vision transformer trained on it achieves human-level split and merge error correction across species.

Jeff Brown, Tim Farkas, Gleb Razgar, Edward Boyden

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Yale Patina Massachusetts Institute of Techn LLM evaluation & benchmarks

Benchmark for Assessing Olfactory Perception of Large Language Models

The Olfactory Perception benchmark evaluates LLM smell reasoning across 1,010 questions, finding compound names outperform molecular structures and best accuracy reaches 64.4%.

Eftychia Makri, Nikolaos Nakis, Laura Sisson, Geetanjali Minsky and 3 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026SpotlightGenesis Molecular AI MIT Massachusetts Institute of Techn Genesis Therapeutics Genesis Molecular AI Flow matching

Few-Step Cofolding with All-Atom Flow Maps

DeCAF distills all-atom biomolecular cofolding diffusion models into few-step flow maps with SE(3)-aligned endpoint losses, improving accuracy and physical validity at strict inference budgets.

Gianluca Scarpellini, Ron Shprints, Peter Holderrieth, Juno Nam and 6 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn Physics-informed ML & PDEs

LEIA: Learned Environment for Interactive Architected Materials

LEIA is a learned world model enabling interactive, step-by-step application of boundary conditions to simulate real-time deformation and stress fields in 3D architected materials, and it supports efficient surrogate-guided de novo design search with finite-element-validated ranking.

Haiqian Yang, Yuan Cao, Markus Buehler

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026UIUC Google DeepMind Google Google Research Google Cloud AI Research Agent memory

SkillOS: Learning Skill Curation for Self-Evolving Agents

SkillOS uses RL to train a skill curator that updates an external SkillRepo from experience, improving self-evolving agents across reasoning and multi-turn tasks.

Siru Ouyang, Jun Yan, Yanfei Chen, Rujun Han and 12 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 45 on Hugging Face

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NeurIPS 2026Massachusetts Institute of Techn MIT Columbia LLM reasoning & chain of thought

OS-Pruner: Pruning Chains-of-Thought of Reasoning Models via Optimal Stopping

OS-Pruner formulates chain-of-thought pruning as optimal stopping to learn dynamic termination, cutting generation length 20-60% with minimal accuracy loss.

Mohammed Ehab, Aymane El Gadarri, Vivek Farias, Adam Jozefiak and 1 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn MIT Deep learning theory

Learning Orthonormal Bases for Function Spaces

Neural networks parameterize orthonormal function-space bases via ODEs on orthogonal Lie manifolds driven by skew-adjoint generators, with rank-2 generators universally approximating any target basis.

Hamidreza Kamkari, Mohammad S Nabizadeh, Justin Solomon

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026UIUC MIT Massachusetts Institute of Techn LLM pretraining & scaling laws

Training Language Models via Neural Cellular Automata

Neural cellular automata generate synthetic pre-training data that improves language model convergence and downstream reasoning faster than natural text.

Dan Lee, Seungwook Han, Akarsh Kumar, Pulkit Agrawal

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 8 on Hugging Face · Code ★ 88

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NeurIPS 2026Massachusetts Institute of Techn MIT Fairness & bias

Rank-Constrained Adaptation for Reliable Real-World Performance

MARLA improves worst-group accuracy without subgroup labels by applying a rank-limited logit correction within a low-dimensional misclassification subspace identified from held-out data.

Abinitha Gourabathina, Hyewon Jeong, Teya Bergamaschi, Marzyeh Ghassemi and 1 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn UCSF In-context learning & prompting

Words That Make Language Models Perceive

Sensory prompting cues text-only LLMs to activate vision- or audio-aligned representations, aligning them with specialist encoders without multimodal training.

Sophie L. Wang, Phillip Isola, Brian Cheung

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 4 on Hugging Face · Code ★ 42

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NeurIPS 2026SpotlightMIT Massachusetts Institute of Techn Speech synthesis

Reconstructing the Vocal Tract with Differentiable Acoustic Simulation

A differentiable GPU acoustic simulator reconstructs vocal tract geometry from speech via gradient descent, enabling cross-lingual autoencoding and unpaired MRI reconstruction.

Eric Chen, Jin Woo Lee, Vincent Sitzmann

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026IIT - Istituto Italiano di Tecno U Genoa Università degli Studi di Genova Massachusetts Institute of Techn Deep learning theory

Learning Sparse Compositional Functions with Norm-Constrained Neural Networks

Norm-constrained deep networks learn sparse compositional functions via DAG structures with approximation and excess risk bounds avoiding the curse of dimensionality.

shuo HUANG, Lorenzo Fiorito, Lorenzo Rosasco, Tomaso Poggio

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026MIT Massachusetts Institute of Techn Multi-agent RL

GAE Falls Short in Imperfect-Information Self-Play Reinforcement Learning

Standard generalized advantage estimation suffers high variance from stochastic future actions in imperfect-information self-play, so introducing Q-boosting and variance-reduced policy optimization with expected SARSA traces improves performance across large-scale games.

Zhiyuan Fan, Gabriele Farina

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Massachusetts Institute of Techn MIT Flow matching

One-Shot Generative Flows: Existence and Obstructions

Straight-line generative flows exist for arbitrary Gaussian endpoints but are impossible for targets with well-separated modes.

Panagiotis Tsimpos, Daniel Sharp, Youssef Marzouk

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026OralMIT Massachusetts Institute of Techn U Wyoming Rostock Fondazione Edmund Mach Spatio-temporal forecasting

MOVEBENCH: A Benchmark for Global-Scale Wildlife Movement Forecasting

MoveBench introduces a 2.6M-location wildlife movement forecasting benchmark across 110 species and finds existing methods generalize poorly to unseen individuals and deep learning does not consistently beat simpler baselines.

Justin Kay, Shir Bar, Ellen O Aikens, Martin Becker and 27 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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