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10 posters you need to see NeurIPS 2026 in Sydney, Atlanta, and Paris

Need more AI research? Look no further than NeurIPS 2026, which will be hosting its conference across three different cities around the world from Dec. 6 to 13.

If you thought two locations was excessive, this year’s 40th Annual Conference on Neural Information Processing System (NeurIPS 2026) will be taking place across three different locations around the world: Sydney, Australia (Dec. 6-12); Atlanta, U.S. (Dec. 9-13); and Paris, France (Dec. 9-13). Sydney will serve as the main venue of the conference and Atlanta and Paris will serve as the two satellite locations.

If you’re looking to connect with world-class scientists in the field of AI and health, here are 10 posters from researchers at the MIT Jameel Clinic that you should check out before you go and where/when to find them.

Note: AEDT is Australian Eastern Daylight Time

Tuesday, Dec. 8 | Hall 1-4

Sydney Poster Session 1 10:00 AM – 1:00 PM AEDT

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

Sebastian Diaz, Polina Golland, Elfar Adalsteinsson, Neel Dey

Sydney Poster Session 2 5:00 PM – 8:00 PM AEDT

Mechanism-Level Chemical Reaction Simulation with Electron Bookkeeping Transformer

Sarah Cao, Shitong Luo, Connor Coley

Wednesday, Dec. 9 | Hall 1-4

Sydney Poster Session 3 10:00 AM – 1:00 PM AEDT

Few-Step Cofolding with All-Atom Flow Maps

Gianluca Scarpellini, Ron Shprints, Peter Holderrieth, Juno Nam, Pranav Murugan, Rafael Gomez-Bombarelli, Tommi Jaakkola, Maruan Al-Shedivat, Nicholas Boffi, Joey Bose

Sydney Poster Session 4 5:00 PM – 8:00 PM AEDT

CLEF: EEG Foundation Models for Learning Clinical Semantics

Peng Cao, Ali Mirzazadeh, Jong W Lee, Aleksandar Videnovic, Dina Katabi

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

Leonard Boussioux, Henry Mao, Dimitris Bertsimas

Thursday, Dec. 10 | Hall 1-4

Sydney Poster Session 5 10:00 AM – 1:00 PM AEDT

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

Rafi Al Attrach, Rajna Fani, Sebastian Lobentanzer, Joan Giner-Miguelez, DEBANSHU DAS, Varuni H K, Nobin Sarwar, Rajat Ghosh, Anwai Archit, Surbhi Motghare, Christina C Parry, Luis Oala, Lara Grosso, Joaquin Vanschoren, Steffen Vogler, Sujata Goswami, Eric Rosenthal, Marzyeh Ghassemi, Matthew McDermott, Tom Pollard

Sydney Poster Session 6 5:00 PM – 8:00 PM AEDT

Rank-Constrained Adaptation for Reliable Real-World Performance

Abinitha Gourabathina, Hyewon Jeong, Teya Bergamaschi, Marzyeh Ghassemi, Collin Stultz

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

William Zhang, Saurabh Amin, Georgia Perakis

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

Chao Li, Tianhong Li, Sai V Nuthalapati, Hong-You Chen, Satya Narayan Shukla, Jianpeng Cheng, Yonghuan Yang, Jun Xiao, Xiangjun Fan, Aashu Singh, Dina Katabi, Shlok K Mishra

Thursday, Dec. 10 | Hall C1

Atlanta Poster Session 3 10:00 AM – 1:00 PM EST

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

Ilker Demirel, Lawrence Shi, Zeshan Hussain, David Sontag

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