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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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