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NeurIPS 2026MITMassachusetts Institute of TechnToyota Research InstituteVideo 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 OxfordColumbia & NYUThe University of OxfordMITU Oxford and University of BernAlignment & preference optimization

Reason to Play: Behavioral and Brain Alignment Between Frontier LRMs and Human Game Learners

Botos Csaba, Sreejan Kumar, Austin T D Andrews, Laurence T Hunt and 5 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 BernMassachusetts Institute of TechnMITLong-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 TechnMicrosoftPrincetonMITWeather & 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 2026MITNorthwesternMassachusetts Institute of TechnHuman-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 TechnMITData 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 TechnMITCausal 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 TechnMITInformation 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 CSAILComputer Science, StanfordMITMassachusetts Institute of TechnAgent 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 2026Air Force - MIT AI AcceleratorIndian Institute of Technology MMITMassachusetts Institute of TechnExplainable 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 2026MITMassachusetts Institute of TechnTest-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 TechnMITActive 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 TechnMITUCSFRepresentation & 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 TechnMITOlin College of EngineeringLLM 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 2026OralMITMassachusetts Institute of TechnTU MunichSelf-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 2026MIT / Technical University of MuMITMIT Media LabDartmouth CollegeSparse autoencoders

Dual-Contrastive Sparse Autoencoders Reveal Features of Musical Interpretation

Jan Chen, Manuel Cherep, Patricia Maes, Nikhil Singh

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

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NeurIPS 2026Stanford University, MassachusetPekingMITMolecules & drug discovery

Mechanism-Level Chemical Reaction Simulation with Electron Bookkeeping Transformer

Sarah Cao, Shitong Luo, Connor Coley

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

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NeurIPS 2026MITOffline RL

PoEM: Predicting New RL Outcomes from Existing Policies

Kimia Hamidieh, Giannis Daras, Antonio Torralba

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 TechnUT AustinMITDiffusion 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 2026MITSynthetic data

Dataset Distillation via Drifting

George Cazenavette, Angelina Quan, Giannis Daras, Antonio Torralba 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 TechnMITRL 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 TechnMITAnthropicExplainable 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 2026Microsoft Research / UIUCMPI for Intelligent Systems, TübMax Planck Institute for IntelliStanfordMITLLM evaluation & benchmarks

AI Construct Lexis: An Ontology of the Hidden Assumptions in AI Evaluation

Olawale Salaudeen, Florian E. Dorner, Tom Sühr, Sang Truong and 12 more

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

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NeurIPS 2026MITCarnegie MellonDeep learning theory

Fast Approximate $\ell_p$ Chamfer Distance via Lopsided Embeddings and Structured JL

Ying Feng, David Woodruff

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 TechnWorcester Polytechnic InstituteMITBackdoors & 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 2026Korea Institute for Advanced StuMITKAISTPhysics-informed ML & PDEs

Variational Monte Carlo for Quantum Excited States via Nested Low-Rank Approximation

Minchan Jeong, Jongha (Jon) Ryu, Se-Young Yun, Gregory Wornell

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

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NeurIPS 2026MITCarnegie MellonNew YorkOpenAIMassachusetts Institute of TechnGame 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 2026U Applied Sciences Upper AustriaAalborgTU Wien, USTPHFG KarlsruheBIOLOGIKDatasets & benchmarks

The BAMBI Dataset: Multimodal Nadir UAV-Recordings of Forest Wildlife

Christoph Praschl, Hugo Markoff, Anna Maschek, Wolfram Jantsch and 7 more

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

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NeurIPS 2026shenzhen universityThe Hong Kong University of ScieHong Kong University of Science ShanghaiTechU Science and Technology of ChinRobot manipulation

Scaling Whole-Body Loco-Manipulation through Compositional Data Synthesis

Yufei Zhu, Runyi Yu, Yinhuai Wang, Aoru Xue and 5 more

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

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NeurIPS 2026U Hong KongMITThe Hong Kong University of ScieTencentTexas A&M University - ColleVideo generation

TKCAM: Text and Keyframe to Camera Trajectory Generation

Haozhe Yang, Zhiyang Dou, Zekai Gu, Cheng Lin and 3 more

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

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NeurIPS 2026MITIndependentVideo understanding

DSAD: Dynamic Soft Anisotropic Diagrams for Reduced-Order Video Representation

Zhiyang Dou, Laki Iinbor, Wojciech Matusik

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

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NeurIPS 2026MITAmazon AGINortheasternAmazonAmazon AGI -- Web Knowledge ServRL for LLMs

Reward Shaping to Improve Language Model Query Generation

Shicheng Liu, Zeyu Zhang, LEI LU, Kexuan Sun and 1 more

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

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NeurIPS 2026MITIndian Institute of Technology BGraph neural networks

Network Intervention by Polling Strategic Agents

Chenyu Zhang, Rohit Parasnis, Saurabh Amin

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 TechnU WashingtonMITGoogleNational Tsing HuaImage 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 2026MITMassachusetts Institute of TechnInternational Centre for TheoretRepresentation & 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 2026BocconiMITLearning theory

The Benefits of Temporal Correlations: SGD Efficiently Learns k-Juntas from Random Walks

Elisabetta Cornacchia, Dan Mikulincer, Elchanan Mossel

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

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NeurIPS 2026Massachusetts Institute of TechnMITU Wisconsin MadisonBayesian & 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 2026MITU WashingtonMassachusetts Institute of TechnLearning 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 2026MITMassachusetts Institute of TechnContinual 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 2026MITMassachusetts Institute of TechnLearning 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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