Voici le programme des chercheuses et chercheurs affilié·e·s à Mila présentant leur travail à ICLR 2026. Toutes les heures sont exprimées en heure local de Brasilia (BRT).
Une version PDF est disponible ici.
Mila @ ICLR 2026, 23.04.2026
Poster Session 1 - 10:30 AM (BRT)
- P3-#218 DisTaC: Conditioning Task Vectors via Distillation for Robust Model Merging: Kotaro Yoshida, Yuji Naraki, Takafumi Horie, Ryotaro Shimizu, Ioannis Mitliagkas, Hiroki Naganuma
- P3-#803 GraphOmni: A Comprehensive and Extensible Benchmark Framework for Large Language Models on Graph-theoretic Tasks: Hao Xu, Xiangru Jian, Xinjian Zhao, Wei Pang, Chao Zhang, Suyuchen Wang, Qixin ZHANG, Zhengyuan Dong, Joao Monteiro, Bang Liu, Qiuzhuang Sun, Tianshu Yu
- P3-#907 Robust Fine-Tuning from Non-Robust Pretrained Models: Mitigating Suboptimal Transfer With Epsilon-Scheduling: Jonas Ngnawe, Maxime Heuillet, Sabyasachi Sahoo, Yann Pequignot, Ola Ahmad, Audrey Durand, Frederic Precioso, Christian Gagné
- P3-#1005 Towards All-Atom Foundation Models for Biomolecular Binding Affinity Prediction: Liang Shi, Zuobai Zhang, Huiyu Cai, Santiago Miret, Zhi Yang, Jian Tang
- P3-#1101 Efficient Regression-based Training of Normalizing Flows for Boltzmann Generators: Danyal Rehman, Oscar Davis, Jiarui Lu, Jian Tang, Michael Bronstein, Yoshua Bengio, Alexander Tong, Joey Bose
- P3-#1721 Unraveling the Complexity of Memory in RL Agents: an Approach for Classification and Evaluation: Egor Cherepanov, Nikita Kachaev, Artem Zholus, Alexey Kovalev, Aleksandr Panov
- P4-#3906 Model Collapse Is Not a Bug but a Feature in Machine Unlearning for LLMs: Yan Scholten, Sophie Xhonneux, Leo Schwinn, Stephan Günnemann
- P4-#3918 Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models: (Andrew) Zhanke Zhou, Zhaocheng Zhu, Xuan Li, Mikhail Galkin, Xiao Feng, Sanmi Koyejo, Jian Tang, Bo Han
- P4-#4406 A Derandomization Framework for Structure Discovery: Applications in Neural Networks and Beyond: Nikos Tsikouras, Yorgos Pantis, Ioannis Mitliagkas, Christos Tzamos
- P4-#4709 SHAPO: Sharpness-Aware Policy Optimization for Safe Exploration: Kaustubh Mani, Yann Pequignot, Vincent Mai, Liam Paull
- P4-#4805 ARM-FM: Automated Reward Machines via Foundation Models for Compositional Reinforcement Learning: Roger Creus Castanyer, Faisal Mohamed, Pablo Samuel Castro, Cyrus Neary, Glen Berseth
Oral Session 1E - 10:30 AM (BRT)
On The Surprising Effectiveness of a Single Global Merging in Decentralized Learning: Tongtian Zhu, Tianyu Zhang, Mingze Wang, Zhanpeng Zhou, Can Wang
Poster Session 2 - 3:15 PM (BRT)
- P3-#914 On The Surprising Effectiveness of a Single Global Merging in Decentralized Learning: Tongtian Zhu, Tianyu Zhang, Mingze Wang, Zhanpeng Zhou, Can Wang
- P3-#609 Setting the Record Straight on Transformer Oversmoothing: Gbètondji J-S Dovonon, Michael Bronstein, Matt J. Kusner
- P3-#1204 Contractive Diffusion Policies: Robust Action Diffusion via Contractive Score-Based Sampling with Differential Equations: Amin Soleimani Abyaneh, Charlotte Morissette, Mohamad H. Danesh, Anas Houssaini, David Meger, Gregory Dudek, Hsiu-Chin Lin
- P3-#1705 Grounding Computer Use Agents on Human Demonstrations: Aarash Feizi, Shravan Nayak, Xiangru Jian, Kevin Qinghong Lin, Kaixin Li, Rabiul Awal, Xing Han Lu, Johan S Obando Ceron, Juan A. Rodriguez, Nicolas Chapados, David Vazquez, Adriana Romero-Soriano, Reihaneh Rabbany, Perouz Taslakian, Christopher Pal, Spandana Gella, Sai Rajeswar Mudumba
- P3-#1815 Hierarchical Value-Decomposed Offline Reinforcement Learning for Whole-Body Control: Zhilong Zhang, Yunpeng Mei, Xinghao Du, Hongjie Cao, Haonan Wang, Pengyuan Min, Chenyu Wang, Pengfei Chen, Chenbo Xin, Yijie Wang, Wenyu Luo, Yihao Sun, Yidi Wang, Lei Yuan, Gang Wang, Yang Yu
- P3-#2008 Asymmetric Proximal Policy Optimization: mini-critics boost LLM reasoning: Jiashun Liu, Johan S Obando Ceron, Han Lu, Yancheng He, Weixun Wang, wenbo su, Bo Zheng, Pablo Samuel Castro, Aaron Courville, Ling Pan
- P4-#3701 SelvaBox: A high‑resolution dataset for tropical tree crown detection: Hugo Baudchon, Arthur Ouaknine, Martin Weiss, Mélisande Teng, Thomas Walla, Antoine Caron-Guay, Christopher Pal, Etienne Laliberté
- P4-#3805 Unsupervised Representation Learning for 3D Mesh Parameterization with Semantic and Visibility Objectives: Amirhossein Zamani, Bruno Roy, Arianna Rampini
- P4-#4603 Robust Reward Modeling via Causal Rubrics: Pragya Srivastava, Harman Singh, Rahul Madhavan, Gandharv Patil, Sravanti Addepalli, Arun Suggala, Rengarajan Aravamudhan, Soumya Sharma, Anirban Laha, Aravindan Raghuveer, Karthikeyan Shanmugam, Doina Precup
- P4-#4716 When Greedy Wins: Emergent Exploitation Bias in Meta-Bandit LLM Training: Sanxing Chen, Xiaoyin Chen, Yukun Huang, Roy Xie, Bhuwan Dhingra
- P4-#5008 µLO: Compute-Efficient Meta-Generalization of Learned Optimizers: Benjamin Thérien, Charles-Étienne Joseph, Boris Knyazev, Edouard Oyallon, Irina Rish, Eugene Belilovsky
Mila @ ICLR 2026, 24.04.2026
Poster Session 3 - 10:30 AM (BRT)
- P3-#1109 FALCON: Few-step Accurate Likelihoods for Continuous Flows: Danyal Rehman, Tara Akhound-Sadegh, Artem Gazizov, Yoshua Bengio, Alexander Tong
- P4-#4414 Visual symbolic mechanisms: Emergent symbol processing in Vision Language Models: Rim Assouel, Declan Campbell, Yoshua Bengio, Taylor Webb
- P3-#521 Beyond Multi-Token Prediction: Pretraining LLMs with Future Summaries: Divyat Mahajan, Sachin Goyal, Badr Youbi Idrissi, Mohammad Pezeshki, Ioannis Mitliagkas, David Lopez-Paz, Kartik Ahuja
- P3-#802 TGM: A Modular and Efficient Library for Machine Learning on Temporal Graphs: Jacob Chmura, Shenyang(Andy) Huang, Tran Gia Bao Ngo, Ali Parviz, Farimah Poursafaei, Jure Leskovec, Michael Bronstein, Guillaume Rabusseau, Matthias Fey, Reihaneh Rabbany
- P3-#1011 Spinning Straw into Gold: Relabeling LLM Agent Trajectories in Hindsight for Successful Demonstrations: Zichao Li, Gang Wu, Zichao Wang, Vlad Morariu, Ruiyi Zhang, Wanrong Zhu, Ryan Rossi, Jihyung Kil
- P3-#1119 Fast Proteome-Scale Protein Interaction Retrieval via Residue-Level Factorization: Jianan Zhao, Zhihao Zhan, Narendra Chaudhary, Xinyu Yuan, Zuobai Zhang, Qian Cong, Jian Zhou, Sanchit Misra, Jian Tang
- P3-#1612 Building spatial world models from sparse transitional episodic memories: Zizhan He, Maxime Daigle, Pouya Bashivan
- P3-#1626 DRBench: A Realistic Benchmark for Enterprise Deep Research: Amirhossein Abaskohi, Tianyi Chen, Miguel Muñoz-Mármol, Curtis Fox, Amrutha Varshini Ramesh, Étienne Marcotte, Xing Han Lu, Nicolas Chapados, Spandana Gella, Christopher Pal, Alexandre Drouin, Issam dji
- P3-#1824 Generative Adversarial Post-Training Mitigates Reward Hacking in Live Human-AI Music Interaction: Yusong Wu, Stephen Brade, Teng Ma, Tia-Jane Fowler, Enning Yang, Berker Banar, Aaron Courville, Natasha Jaques, Anna Huang
- P3-#2006 Benefits and Limitations of Communication in Multi-Agent Reasoning: Michael Rizvi-Martel, Satwik Bhattamishra, Neil Rathi, Guillaume Rabusseau, Michael Hahn
- P4-#3306 Kaleidoscope: In-language Exams for Massively Multilingual Vision Evaluation: Israfel Salazar, Manuel Fernández Burda, Shayekh Islam, Arshia Soltani Moakhar, Shivalika Singh, Fabian Farestam, Angelika Romanou, Danylo Boiko, Dipika Khullar, Mike Zhang, Dominik Krzemiński, Jekaterina Novikova, a Shimabucoro, Joseph Marvin Imperial, Rishabh Maheshwary, Sharad Duwal, Alfonso Amayuelas, Swati Rajwal, Jebish Purbey, Ahmed Ruby, Nicholas Popovič, Marek Suppa, Azmine Toushik Wasi, Ram Mohan Rao Kadiyala, Olga Tsymboi, Maksim Kostritsya, Bardia moakhar, Gabriel da Costa Merlin, Otávio Coletti, Maral Jabbarishiviari, MOHAMMADAMIN FARAHANIFARD, Silvia Fernandez, María Grandury, Dmitry Abulkhanov, Drishti Sharma, Andre Guarnier De Mitri, Leticia Marchezi, Setayesh Heydari, Johan S Obando Ceron, Nazar Kohut, Beyza Ermis, Desmond Elliott, Enzo Ferrante, Sara Hooker, Marzieh Fadaee
- P4-#4918 The Markovian Thinker: Architecture-Agnostic Linear Scaling of Reasoning: Milad Aghajohari, Kamran Chitsaz, Amirhossein Kazemnejad, Sarath Chandar, Alessandro Sordoni, Aaron Courville, Siva Reddy
Oral Session 4C - 3:15 PM (BRT)
Visual symbolic mechanisms: Emergent symbol processing in Vision Language Models: Rim Assouel, Declan Campbell, Yoshua Bengio, Taylor Webb
Poster Session 4 - 3:15 PM (BRT)
- P3-#211 Amortized Inference of Causal Models via Conditional Fixed-Point Iterations: Divyat Mahajan, Jannes Gladrow, Agrin Hilmkil, Cheng Zhang, Meyer Scetbon
- P3-#424 Dual Optimistic Ascent (PI Control) is the Augmented Lagrangian Method in Disguise: Juan Ramirez, Simon Lacoste-Julien
- P3-#604 MesaNet: Sequence Modeling by Locally Optimal Test-Time Training: Johannes von Oswald, Nino Scherrer, Seijin Kobayashi, Luca Versari, Songlin Yang, Maximilian Schlegel, Kaitlin Maile, Yanick Schimpf, Oliver Sieberling, Alexander Meulemans, Guillaume Lajoie, Rif A. Saurous, Charlotte Frenkel, Razvan Pascanu, Blaise Aguera y Arcas, Joao Sacramento
- P3-#810 LogicXGNN: Grounded Logical Rules for Explaining Graph Neural Networks: Chuqin Geng, Ziyu Zhao, Zhaoyue Wang, Haolin Ye, Yuhe Jiang, Xujie Si
- P3-#1005 Bridging Explainability and Embeddings: BEE Aware of Spuriousness: Cristian D. Paduraru, Antonio Barbalau, Radu Filipescu, Andrei Nicolicioiu, Elena Burceanu
- P3-#1106 Property-Driven Protein Inverse Folding with Multi-Objective Preference Alignment: Junqi Liu, Xiaoyang Hou, Chence Shi, Xin Liu, Zhi Yang, Jian Tang
- P3-#1110 h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network: Yanru Qu, Yijie Zhang, Wenjuan Tan, Xiangzhe Kong, Xiangxin Zhou, Chaoran Cheng, Mathieu Blanchette, Jiaxuan You, Ge Liu
- P3-#1117 OXtal: An All-Atom Diffusion Model for Organic Crystal Structure Prediction: Emily Jin, Andrei Nica, Kin Long Kelvin Lee, Joey Bose, Mikhail Galkin, Santiago Miret, Jarrid Rector-Brooks, Alexander Tong, Michael Bronstein, Frances Arnold, Chenghao Liu
- P3-#1125 Towards Sustainable Investment Policies Informed by Opponent Shaping: Juan Duque, Razvan Ciuca, Ayoub Echchahed, Hugo Larochelle, Aaron Courville
- P3-#1513 A Balanced Neuro-Symbolic Approach for Commonsense Abductive Logic: Joseph Cotnareanu, Didier Chételat, Yingxue Zhang, Mark Coates
- P3-#1916 La-Proteina: Atomistic Protein Generation via Partially Latent Flow Matching: Tomas Geffner, Kieran Didi, Zhonglin Cao, Danny Reidenbach, Zuobai Zhang, Christian Dallago, Emine Kucukbenli, Karsten Kreis, Arash Vahdat
- P4-#4502 ADM-v2: Pursuing Full-Horizon Roll-out in Dynamics Models for Offline Policy Learning and Evaluation: Haoxin Lin, Siyuan Xiao, Yi-Chen Li, Zhilong Zhang, Yihao Sun, Chengxing Jia, Yang Yu
- P4-#4911 Discrete Compositional Generation via General Soft Operators and Robust Reinforcement Learning: Marco Jiralerspong, Esther Derman, Danilo Vucetic, Nikolay Malkin, Bilun Sun, Tianyu Zhang, Pierre-Luc Bacon, Gauthier Gidel
Mila @ ICLR 2026, 25.04.2026
Poster Session 5 - 10:30 AM (BRT)
- P3-#1718 Scaling Atomistic Protein Binder Design with Generative Pretraining and Test-Time Compute: Kieran Didi, Zuobai Zhang, Guoqing Zhou, Danny Reidenbach, Zhonglin Cao, Sooyoung Cha, Tomas Geffner, Christian Dallago, Jian Tang, Michael Bronstein, Martin Steinegger, Emine Kucukbenli, Arash Vahdat, Karsten Kreis
- P3-#112 Self-Supervised Learning from Structural Invariance: Yipeng Zhang, Hafez Ghaemi, Jungyoon Lee, Shahab Bakhtiari, Eilif B Muller, Laurent Charlin
- P3-#202 Latent Veracity Inference for Identifying Errors in Stepwise Reasoning: Minsu Kim, Jean-Pierre Falet, Oliver Richardson, Xiaoyin Chen, Moksh Jain, Sungjin Ahn, Sungsoo Ahn, Yoshua Bengio
- P3-#423 Towards Learned Optimization Free Lunch: Abhinav Moudgil, Boris Knyazev, Eugene Belilovsky
- P3-#504 Egalitarian Gradient Descent: A Simple Approach to Accelerated Grokking: Ali Saheb Pasand, Elvis Dohmatob
- P3-#825 Generalised Flow Maps for Few-Step Generative Modelling on Riemannian Manifolds: Oscar Davis, Nicholas Boffi, Michael Albergo, Michael Bronstein, Joey Bose
- P3-#1014 Scaling Laws and Symmetry, Evidence from Neural Force Fields: Nhat Khang Ngo, Siamak Ravanbakhsh
- P3-#1501 Embedding-Based Context-Aware Reranker: Ye Yuan, Mohammad Amin Shabani, Siqi Liu
- P3-#1521 Learning From the Past with Cascading Eligibility Traces: Tokiniaina Raharison Ralambomihanta, Ivan Anokhin, Roman Pogodin, Samira Ebrahimi Kahou, Jonathan Cornford, Blake A Richards
- P4-#3902 On Fairness of Task Arithmetic: The Role of Task Vectors: Laura Gomezjurado Gonzalez , Hiroki Naganuma, Kotaro Yoshida, Takafumi Horie, Yuji Naraki, Ryotaro Shimizu
- P4-#4512 Self-Predictive Representations for Combinatorial Generalization in Behavioral Cloning: Daniel Lawson, Adriana Hugessen, Charlotte Cloutier, Glen Berseth, Khimya Khetarpal
- P4-#4608 Temporal Representations for Exploration: Learning Complex Exploratory Behavior without Extrinsic Rewards: Faisal Mohamed, Catherine Ji, Benjamin Eysenbach, Glen Berseth
- P4-#4613 Relative Entropy Pathwise Policy Optimization: Claas Voelcker, Axel Brunnbauer, Marcel Hussing, Michal Nauman, Pieter Abbeel, Radu Grosu, Eric Eaton, Amir-massoud Farahmand, Igor Gilitschenski
- P4-#5218 The Geometry and Topology of Representations: the Manifolds of Modular Addition: Gabriela Moisescu-Pareja, Gavin McCracken, Harley Wiltzer, Colin Daniels, Vincent Létourneau, Doina Precup, Jonathan Love
- P4-#5317 SynCoGen: Synthesizable 3D Molecule Generation via Joint Reaction and Coordinate Modeling: Andrei Rekesh, Miruna Cretu, Dmytro Shevchuk, Pietro Lio, Robert Batey, Mike Tyers, Michał Koziarski, Chenghao Liu
Oral Session 5A - 10:30 AM (BRT)
Planner Aware Path Learning in Diffusion Language Models Training: Zhangzhi Peng, Zachary Bezemek, Jarrid Rector-Brooks, Shuibai Zhang, Michael Bronstein, Anru Zhang, Joey Bose, Alexander Tong
Oral Session 6F - 3:15 PM (BRT)
Scaling Atomistic Protein Binder Design with Generative Pretraining and Test-Time Compute: Kieran Didi, Zuobai Zhang, Guoqing Zhou, Danny Reidenbach, Zhonglin Cao, Sooyoung Cha, Tomas Geffner, Christian Dallago, Jian Tang, Michael Bronstein, Martin Steinegger, Emine Kucukbenli, Arash Vahdat, Karsten Kreis
FALCON: Few-step Accurate Likelihoods for Continuous Flows: Danyal Rehman, Tara Akhound-Sadegh, Artem Gazizov, Yoshua Bengio, Alexander Tong
Poster Session 6 - 3:15 PM (BRT)
- P3-#614 Planner Aware Path Learning in Diffusion Language Models Training: Zhangzhi Peng, Zachary Bezemek, Jarrid Rector-Brooks, Shuibai Zhang, Michael Bronstein, Anru Zhang, Joey Bose, Alexander Tong
- P3-#222 RAEE: A Robust Retrieval-Augmented Early Exit Framework for Efficient Inference: LIANMING HUANG, Shangyu Wu, Yufei CUI, Ying Xiong, Haibo Hu, Xue Liu, Tei-Wei Kuo, Nan Guan, Chun Jason Xue
- P3-#603 Diffusion Alignment as Variataional Expectation-Maximization: Jaewoo Lee, Minsu Kim, Sanghyeok Choi, Inhyuck Song, Sujin Yun, Hyeongyu Kang, Woocheol Shin, Taeyoung Yun, Kiyoung Om, Jinkyoo Park
- P3-#1816 Why Less is More (Sometimes): A Theory of Data Curation: Elvis Dohmatob, Mohammad Pezeshki, Reyhane Askari Hemmat
- P4-#4409 The Expressive Limits of Diagonal SSMs for State-Tracking: Mehran Shakerinava, Behnoush Khavari, Siamak Ravanbakhsh, Sarath Chandar
- P4-#4410 Defining and quantifying compositional structure: Eric Elmoznino, Guillaume Lajoie
- P4-#4515 Simplicial Embeddings Improve Sample Efficiency in Actor–Critic Agents: Johan S Obando Ceron, Walter Mayor, Samuel Lavoie, Scott Fujimoto, Aaron Courville, Pablo Samuel Castro
