14 noteworthy posters to explore at NeurIPS 2025 in San Diego and Mexico City
For the first time ever, the 39th Annual Conference on Neural Information Processing System (NeurIPS 2025) will be a tale of two cities: San Diego, California (Dec 2nd – 7th) and Mexico City, Mexico (Nov 30th – Dec 5th).
This year, 14 papers (including one Spotlight!) from MIT Jameel Clinic researchers are being presented at the NeurIPS 2025, with most being presented in San Diego.
If you’re interested in research focused on clinical AI or AI-driven drug discovery, we’ve organized all the posters from our researchers in one place, though you may need to go to two places to see them all!
Wednesday, Dec. 3 – San Diego
Poster Session 1
An Investigation of Memorization Risk in Healthcare Foundation Models
Sana Tonekaboni · Lena Stempfle · Adibvafa Fallahpour · Walter Gerych · Marzyeh Ghassemi
Connecting Jensen–Shannon and Kullback–Leibler Divergences: A New Bound for Representation Learning
Reuben Dorent · Polina Golland · William (Sandy) Wells
RL Tango: Reinforcing Generator and Verifier Together for Language Reasoning
Kaiwen Zha · Zhengqi Gao · Maohao Shen · Zhang-Wei Hong · Duane Boning · Dina Katabi
Single-Teacher View Augmentation: Boosting Knowledge Distillation via Angular Diversity
Seonghoon Yu · Dongjun Nam · Dina Katabi · Jeany Son
Poster Session 2
Learning the Wrong Lessons: Syntactic-Domain Spurious Correlations in Language Models
Chantal Shaib · Vinith Suriyakumar · Byron Wallace · Marzyeh Ghassemi
Thursday, Dec. 4 – San Diego
Poster Session 3
KScope: A Framework for Characterizing the Knowledge Status of Language Models
Yuxin Xiao · Shan Chen · Jack Gallifant · Danielle Bitterman · Tom Hartvigsen · Marzyeh Ghassemi
Poster Session 4
San Diego Spotlight: Aggregation Hides Out-of-Distribution Generalization Failures from Spurious Correlations
Olawale Salaudeen · Haoran Zhang · Kumail Alhamoud · Sara Beery · Marzyeh Ghassemi
PolyPose: Deformable 2D/3D Registration via Polyrigid Transformations
Vivek Gopalakrishnan · Neel Dey · Polina Golland
Next Semantic Scale Prediction via Hierarchical Diffusion Language Models
Cai Zhou · Chenyu Wang · Dinghuai Zhang · Shangyuan Tong · Yifei Wang · Stephen Bates · Tommi Jaakkola
Friday, Dec. 5 – San Diego
Poster Session 6
On Group Sufficiency Under Label Bias
Haoran Zhang · Olawale Salaudeen · Marzyeh Ghassemi
Learning Diffusion Models with Flexible Representation Guidance
Chenyu Wang · Cai Zhou · Sharut Gupta · Johnson Lin · Stefanie Jegelka · Stephen Bates · Tommi Jaakkola
Homogeneous Algorithms Can Reduce Competition in Personalized Pricing
Nathanael Jo · Ashia Wilson · Kathleen Creel · Manish Raghavan
The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches
Omri Lev · Vishwak Srinivasan · Moshe Shenfeld · Katrina Ligett · Ayush Sekhari · Ashia Wilson
Friday, Dec. 5 – Mexico City
Session 6
Aligning Evaluation with Clinical Priorities: Calibration, Label Shift, and Error Costs
Gerardo Flores · Alyssa H. Smith · Julia Fukuyama · Ashia Wilson
