17 posters worth seeing from MIT Jameel Clinic researchers at ICML 2026
The International Conference for Machine Learning (ICML) is known as one of the top three major AI/ML research conferences, which take place in various cities around the world on an annual basis. Last year’s ICML took place in Vancouver, Canada, but this year, ICML’s organizers have decided to trade in maple syrup and Justin Bieber for kimchi and BTS on the other side of the globe in Seoul, South Korea.
At ICML 2026, which takes place from July 6 to July 11, more than a dozen research papers from Jameel Clinic researchers will be featured across several poster sessions, with one selected for an oral presentation and three Spotlighted by the ICML reviewers. If you were lucky enough to snag a ticket to the main conference before they sold out, make sure to save this list for later.
Note that all times are in KST, Korean Standard Time.
Tuesday, July 7 — 2:00pm – 3:45pm KST, Hall A
Diamond Maps: Efficient Reward Alignment via Stochastic Flow Maps
Peter Holderrieth ⋅ Douglas Chen ⋅ Luca Eyring ⋅ Ishin Shah ⋅ Giri Anantharaman ⋅ Yutong He ⋅ Zeynep Akata ⋅ Tommi Jaakkola ⋅ Nicholas Boffi ⋅ Max Simchowitz
FiGuRO – Intrinsic Dimension Estimation for Multi-Modal Data
Viktoria Schuster ⋅ Sana Tonekaboni ⋅ Caroline Uhler
Physiology as Language: Translating Nocturnal Breathing to EEG
Kaiwen Zha ⋅ Chao Li ⋅ Hao He ⋅ Peng Cao ⋅ Tianhong Li ⋅ Ali Mirzazadeh ⋅ Ellen Zhang ⋅ Jong Lee ⋅ Yoon Kim ⋅ Dina Katabi
Position: Evaluation of ECG Representations Must Be Fixed
Zachary Berger ⋅ Daniel Prakah-Asante ⋅ John Guttag ⋅ Collin Stultz
Wednesday, July 8 — 10:00am – 12:15pm KST, Hall A
FRIGID: Scaling Diffusion-Based Molecular Generation from Mass Spectra at Training and Inference Time
Montgomery Bohde ⋅ Hongxuan Liu ⋅ Mrunali Manjrekar ⋅ Magdalena Lederbauer ⋅ Shuiwang Ji ⋅ Runzhong Wang ⋅ Connor Coley
Escaping the Mode: Multi-Answer Reinforcement Learning in LMs
Isha Puri ⋅ Mehul Damani ⋅ Idan Shenfeld ⋅ Marzyeh Ghassemi ⋅ Jacob Andreas ⋅ Yoon Kim
MultiLoReFT: Decoupling Shared and Modality-Specific Subspaces in Multimodal Learning via Low-Rank Representation Fine-Tuning
Sana Tonekaboni ⋅ Viktoria Schuster ⋅ Caroline Uhler
Wednesday, July 8 — 2:30pm – 4:15pm KST, Hall A
Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner
Cai Zhou ⋅ Chenxiao Yang ⋅ Yi Hu ⋅ Chenyu Wang ⋅ Chubin Zhang ⋅ Muhan Zhang ⋅ Lester Mackey ⋅ Tommi Jaakkola ⋅ Stephen Bates ⋅ Dinghuai Zhang
Spotlight: Divide-and-Denoise: A Game-Theoretic Method for Fairly Composing Diffusion Models
Abhi Gupta ⋅ Polina Barabanshchikova ⋅ Vikas Garg ⋅ Samuel Kaski ⋅ Tommi Jaakkola
Wednesday, July 8 — 5:00pm – 6:45pm KST, Hall A
CountsDiff: A diffusion model on the natural numbers for generation and imputation of count-based data
Renzo Soatto ⋅ Anders Hoel ⋅ Greycen Ren ⋅ Shorna Alam ⋅ Stephen Bates ⋅ Nikolaos Daskalakis ⋅ Caroline Uhler ⋅ Maria Skoularidou
Spotlight & Oral: Reinforcement Learning with Evolving Rubrics for Deep Research
Rulin Shao ⋅ Akari Asai ⋅ Shannon Shen ⋅ Hamish Ivison ⋅ Varsha Kishore ⋅ Jingming Zhuo ⋅ Xinran Zhao ⋅ Molly Park ⋅ Samuel Finlayson ⋅ David Sontag ⋅ Tyler Murray ⋅ Sewon Min ⋅ Pradeep Dasigi ⋅ Luca Soldaini ⋅ Faeze Brahman ⋅ Scott Yih ⋅ Sherry Wu ⋅ Luke Zettlemoyer ⋅ Yoon Kim ⋅ Hannaneh Hajishirzi ⋅ Pang Wei Koh
Uncovering Bias Mechanisms in Observational Studies
Ilker Demirel ⋅ Zeshan Hussain ⋅ Piersilvio De Bartolomeis ⋅ David Sontag
Thursday, July 9 — 10:30am – 12:15pm, Hall A
MoRGEN: Mixture-of-Resolutions Generative Forecasting for Irregularly Sampled Medical Time-Series Data
Nassim Oufattole ⋅ Matthew McDermott ⋅ Collin Stultz
Near-Optimal Private Linear Regression via Iterative Hessian Mixing
Omri Lev ⋅ Moshe Shenfeld ⋅ Vishwak Srinivasan ⋅ Katrina Ligett ⋅ Ashia Wilson
Thursday, July 9 — 5:00pm – 6:45pm, Hall A
Spotlight: Position: AI Evaluations Should be Grounded on a Theory of Capability
Nathan Jo ⋅ Ashia Wilson
ProbeLLM: Automating Principled Diagnosis of LLM Failures
Yue Huang ⋅ Zhengzhe Jiang ⋅ Yuchen Ma ⋅ Yu Jiang ⋅ Xiangqi Wang ⋅ Yujun Zhou ⋅ Yuexing Hao ⋅ kehan guo ⋅ Pin-Yu Chen ⋅ Marzyeh Ghassemi ⋅ Stefan Feuerriegel ⋅ Xiangliang Zhang
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Position: Benchmarks Do Not Measure Deployment Readiness in Clinical AI
Haoran Zhang ⋅ Hyewon Jeong ⋅ Olawale Salaudeen ⋅ Walter Gerych ⋅ Nigam Shah ⋅ Marzyeh Ghassemi
