Here is a schedule featuring Mila-affiliated researchers presenting their work at NeurIPS 2025. All times are in Pacific Standard Time (PST).
A PDF version is also available here
Mila @ NeurIPS 2025, 12/02/ 2025
Presentation at Mila's Booth #625
December 2 : 1:00 PM Ye Yuan - From Surrogates to Diffusion and Language Models: Generative Paradigms for Offline Black-Box Optimization
December 3 : 11:00 AM Pooneh Mousavi - Learning Audio Representations for Multimodal Models
December 3 : 1:00 PM Martin Weiss - Multi-agent systems and tools for ML researchers
December 4 : 11:00 AM Juan Ramirez - Feasible Learning
December 4 : 1:00 PM Padideh Nouri - Relative Trajectory Balance is equivalent to Trust-PCL
Mila @ NeurIPS 2025, 12/03/ 2025
San Diego Poster Session 1 - 11 AM to 2 PM
Main Conference
#2112 Caption This, Reason That: VLMs Caught in the Middle: Zihan Weng, Lucas Gomez, Taylor Whittington Webb, Pouya Bashivan
#706 New Perspectives on the Polyak Stepsize: Surrogate Functions and Negative Results: Francesco Orabona, Ryan D'Orazio
#1400 From Dormant to Deleted: Tamper-Resistant Unlearning Through Weight-Space Regularization: Shoaib Ahmed Siddiqui, Adrian Weller, David Krueger, Gintare Karolina Dziugaite, Michael Curtis Mozer, Eleni Triantafillou
#1807 FocalCodec: Low-Bitrate Speech Coding via Focal Modulation Networks: Luca Della Libera, Francesco Paissan, Yusuf Cem Sübakan, Mirco Ravanelli
#2000 Generalizable, real-time neural decoding with hybrid state-space models: Avery Hee-Woon Ryoo, Nanda H Krishna, Ximeng Mao, Mehdi Azabou, Eva L Dyer, Matthew G Perich, Guillaume Lajoie
#3407 Reducing the Probability of Undesirable Outputs in Language Models Using Probabilistic Inference: Stephen Zhao, Aidan Li, Rob Brekelmans, Roger Grosse
#3514 Adaptive Inference-Time Scaling via Cyclic Diffusion Search: Gyubin Lee, Bao N Nguyen Truong, Jaesik Yoon, Dongwoo Lee, Minsu Kim, Yoshua Bengio, Sungjin Ahn
#3803 AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Document Understanding: Ahmed Masry, Juan A. Rodriguez, Tianyu Zhang, Suyuchen Wang, Chao Wang, Aarash Feizi, Akshay Kalkunte Suresh, Abhay Puri, Xiangru Jian, Pierre-Andre Noel, Sathwik Tejaswi Madhusudhan, Marco Pedersoli, Bang Liu, Nicolas Chapados, Yoshua Bengio, Enamul Hoque, Christopher Pal, Issam Hadj Laradji, David Vazquez, Perouz Taslakian, Spandana Gella, Sai Rajeswar
#3917 Geometry-Aware Edge Pooling for Graph Neural Networks: Katharina Limbeck, Lydia Mezrag, Guy Wolf, Bastian Rieck
#4205 Transforming Generic Coder LLMs to Effective Binary Code Embedding Models for Similarity Detection: Litao Li, Leo Song, Steven Ding, Benjamin C. M. Fung, Philippe Charland
#4300 Increasing the Utility of Synthetic Images through Chamfer Guidance: Nicola Dall'Asen, Xiaofeng Zhang, Reyhane Askari Hemmat, Melissa Hall, Jakob Verbeek, Adriana Romero, Michal Drozdzal
#5414 Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation: Sangmin Bae, Yujin Kim, Reza Bayat, Sungnyun Kim, Jiyoun Ha, Tal Schuster, Adam Fisch, Hrayr Harutyunyan, Ziwei Ji, Aaron C. Courville, Se-Young Yun
Dataset and Benchmark Track
#1513 Open-Insect: Benchmarking Open-Set Recognition of Novel Species in Biodiversity Monitoring: Yuyan Chen, Nico Lang, B. Christian Schmidt, Aditya Jain, Yves Basset, Sara Beery, Maxim Larrivée, David Rolnick
#403 Meta-World+: An Improved, Standardized, RL Benchmark: Reginald McLean, Evangelos Chatzaroulas, Luc McCutcheon, Frank Röder, Tianhe Yu, Zhanpeng He, K.R. Zentner, Ryan Julian, J K Terry, Isaac Woungang, Nariman Farsad, Pablo Samuel Castro
Mexico Poster Session 1 - 11 AM to 2 PM
1513 Open-Insect: Benchmarking Open-Set Recognition of Novel Species in Biodiversity Monitoring: Yuyan Chen, Nico Lang, B. Christian Schmidt, Aditya Jain, Yves Basset, Sara Beery, Maxim Larrivée, David Rolnick
403 Meta-World+: An Improved, Standardized, RL Benchmark: Reginald McLean, Evangelos Chatzaroulas, Luc McCutcheon, Frank Röder, Tianhe Yu, Zhanpeng He, K.R. Zentner, Ryan Julian, J K Terry, Isaac Woungang, Nariman Farsad, Pablo Samuel Castro
Mexico Poster Session 2 - 2:30 PM to 7:30 PM
PCA++: How Uniformity Induces Robustness to Background Noise in Contrastive Learning: Mingqi Wu · Qiang Sun · Archer Yang
Tight Lower Bounds and Improved Convergence in Performative Prediction: Pedram Khorsandi, Rushil Gupta, Mehrnaz Mofakhami, Simon Lacoste-Julien, Gauthier Gidel
San Diego Poster Session 2- 4:30 PM to 7:30 PM
Main Conference
1016 Beyond Scalar Rewards: An Axiomatic Framework for Lexicographic MDPs: Mehran Shakerinava, Siamak Ravanbakhsh, Adam Oberman
3201 Dimension-adapted Momentum Outscales SGD: Damien Ferbach, Katie Everett, Gauthier Gidel, Elliot Paquette, Courtney Paquette
908 Understanding Adam Requires Better Rotation Dependent Assumptions: Tianyue H. Zhang, Lucas Maes, Alan Milligan, Alexia Jolicoeur-Martineau, Ioannis Mitliagkas, Damien Scieur, Simon Lacoste-Julien, Charles Guille-Escuret
909 ACCO: Accumulate While You Communicate for Communication-Overlapped Sharded LLM Training: Adel Nabli, Louis Fournier, Pierre ERBACHER, Louis Serrano, Eugene Belilovsky, Edouard Oyallon
4100 Rendering-Aware Reinforcement Learning for Vector Graphics Generation: Juan A. Rodriguez, Haotian Zhang, Abhay Puri, Rishav Pramanik, Aarash Feizi, Pascal Wichmann, Arnab Kumar Mondal, Mohammad Reza Samsami, Rabiul Awal, Perouz Taslakian, Spandana Gella, Sai Rajeswar, David Vazquez, Christopher Pal, Marco Pedersoli
4919 Bringing SAM to new heights: Leveraging elevation data for tree crown segmentation from drone imagery: Mélisande Teng, Arthur Ouaknine, Etienne Laliberté, Yoshua Bengio, David Rolnick, Hugo Larochelle
Dataset and Benchmark
3802 MiNT: Multi-Network Transfer Benchmark for Temporal Graph Learning: Kiarash Shamsi, Tran Gia Bao Ngo, Razieh Shirzadkhani, Shenyang Huang, Farimah Poursafaei, Poupak Azad, Reihaneh Rabbany, Baris Coskunuzer, Guillaume Rabusseau, Cuneyt Gurcan Akcora
Position Paper Track
1313 Neither Valid Nor Reliable? Investigating the Use of LLMs as Judges: Khaoula Chehbouni, Mohammed Haddou, Jackie CK Cheung, Golnoosh Farnadi
Mila @ NeurIPS 2025, 12/04/ 2025
San Diego Poster Session 3 - 11 AM to 2 PM
2407 A Smooth Sea Never Made a Skilled SAILOR: Robust Imitation via Learning to Search: Arnav Kumar Jain, Vibhakar Mohta, Subin Kim, Atiksh Bhardwaj, Juntao Ren, Yunhai Feng, Sanjiban Choudhury, Gokul Swamy
3109 Is the acquisition worth the cost? Surrogate losses for Consistent Two-stage Classifiers: Florence Regol, Joseph Cotnareanu, Theodore Glavas, Mark J. Coates
503 Epistemic Uncertainty Estimation in Regression Ensemble Models with Pairwise Epistemic Estimators: Lucas Berry, David Meger
512 State Entropy Regularization for Robust Reinforcement Learning: Yonatan Ashlag, Uri Koren, Mirco Mutti, Esther Derman, Pierre-Luc Bacon, Shie Mannor
1112 Detecting High-Stakes Interactions with Activation Probes: Alex McKenzie, Urja Pawar, Phil Blandfort, William Bankes, David Krueger, Ekdeep Singh Lubana, Dmitrii Krasheninnikov
1201 Uncovering a Universal Abstract Algorithm for Modular Addition in Neural Networks: Gavin McCracken, Gabriela Moisescu-Pareja, Vincent Létourneau, Doina Precup, Jonathan Love
1614 Amortized Sampling with Transferable Normalizing Flows: Charlie B. Tan, Majdi Hassan, Leon Klein, Saifuddin Syed, Dominique Beaini, Michael M. Bronstein, Alexander Tong, Kirill Neklyudov
1705 Causal Climate Emulation with Bayesian Filtering: Sebastian Hickman, Ilija Trajković, Julia Kaltenborn, Francis Pelletier, Alexander T Archibald, Yaniv Gurwicz, Peer Nowack, David Rolnick, Julien Boussard
1708 Scalable and Cost-Efficient de Novo Template-Based
Molecular Generation: Piotr Gaiński, Oussama Boussif, Andrei Rekesh, Dmytro Shevchuk, Ali Parviz, Mike Tyers, Robert A. Batey, Michał Koziarski
2201 Dimensionality Mismatch Between Brains and Artificial Neural Networks: Santiago Galella, Maren Wehrheim, Matthias Kaschube
2715 Random Forest Autoencoders for Guided Representation Learning: Adrien Aumon, Shuang Ni, Myriam Lizotte, Guy Wolf, Kevin R. Moon, Jake S. Rhodes
5209 Adaptive Quantization in Generative Flow Networks for Probabilistic Sequential Prediction: Nadhir Hassen, Zhen Zhang, Johan W. Verjans
5409 C3PO: Optimized Large Language Model Cascades with Probabilistic Cost Constraints for Reasoning: Antonios Valkanas, Soumyasundar Pal, Pavel Rumiantsev, Yingxue Zhang, Mark J. Coates
Position Paper Track
1008 Rigor in AI: Doing Rigorous AI Work Requires a Broader, Responsible AI-Informed Conception of Rigor: Alexandra Olteanu, Su Lin Blodgett, Agathe Balayn, Angelina Wang, Fernando Díaz, Flavio Calmon, Margaret Mitchell, Michael Ekstrand, Reuben Binns, Solon Barocas
Mexico Poster Session 3 - 11 AM to 2 PM
Learning to Solve Complex Problems via Dataset Decomposition: Wanru Zhao, Lucas Caccia, Zhengyan Shi, Minseon Kim, Weijia Xu, Xingdi Yuan, Alessandro Sordoni, Marc-Alexandre Côté
San Diego Poster Session 4 - 4:30 PM to 7:30 PM
Main Conference
512 Plasticity as the Mirror of Empowerment: David Abel, Michael Bowling, Andre Barreto, Will Dabney, Shi Dong, Steven Stenberg Hansen, Anna Harutyunyan, Khimya Khetarpal, Clare Lyle, Razvan Pascanu, Georgios Piliouras, Doina Precup, Jonathan Richens, Mark Rowland, Tom Schaul, Satinder Singh
314 Deep RL Needs Deep Behavior Analysis: Exploring Implicit Planning by Model-Free Agents in Open-Ended Environments: Riley Simmons-Edler, Ryan P Badman, Felix Baastad Berg, Raymond Chua, John J Vastola, Joshua Lunger, William Qian, Kanaka Rajan
407 How to Train Your LLM Web Agent: A Statistical Diagnosis: Dheeraj Vattikonda, Santhoshi Ravichandran, Emiliano Penaloza, Hadi Nekoei, Thibault Le Sellier de Chezelles, Megh Thakkar, Nicolas Gontier, Miguel Muñoz-Mármol, Sahar Omidi Shayegan, Stefania Raimondo, Xue Liu, Alexandre Drouin, Alexandre Piché, Laurent Charlin, Alexandre Lacoste, Massimo Caccia
1710 RETRO SYNFLOW: Discrete Flow Matching for Accurate and Diverse Single-Step Retrosynthesis: Robin Yadav, Qi Yan, Guy Wolf, Avishek Joey Bose, Renjie Liao
1900 System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts: Xiaoqiang Wang, Suyuchen Wang, Yun Zhu, Bang Liu
2209 Improving Energy Natural Gradient Descent through Woodbury, Momentum, and Randomization: Andrés Guzmán-Cordero, Felix Dangel, Gil Goldshlager, Marius Zeinhofer
2708 Learning Task-Agnostic Representations through Multi-Teacher Distillation: Philippe Formont, Maxime DARRIN, Banafsheh Karimian, Eric Granger, Jackie CK Cheung, Ismail Ben Ayed, Mohammadhadi Shateri, Pablo Piantanida
Dataset and Benchmark Track
1700 GreenHyperSpectra: A multi-source hyperspectral dataset for global vegetation trait prediction: Eya Cherif, Arthur Ouaknine, Luke A. Brown, Phuong D. Dao, Kyle R Kovach, Bing Lu, Daniel Mederer, Hannes Feilhauer, Teja Kattenborn, David Rolnick
Mila @ NeurIPS 2025, 12/05/ 2025
San Diego Poster Session 5 - 11 AM to 2 PM
Main Conference
310 Stable Gradients for Stable Learning at Scale in Deep Reinforcement Learning: Roger Creus Castanyer, Johan Samir Obando Ceron, Li Li, Pierre-Luc Bacon, Glen Berseth, Aaron C. Courville, Pablo Samuel Castro
3609 Fast Monte Carlo Tree Diffusion: 100× Speedup via Parallel and Sparse Planning: Jaesik Yoon, Hyeonseo Cho, Yoshua Bengio, Sungjin Ahn
3901 Distributional Training Data Attribution: What do Influence Functions Sample?: Bruno Mlodozeniec, Isaac Reid, Samuel Power, David Krueger, Murat A Erdogdu, Richard E. Turner, Roger Baker Grosse
206 Tapered Off-Policy REINFORCE - Stable and efficient reinforcement learning for large language models: Nicolas Roux, Bellemare Marc-Emmanuel, Jonathan Lebensold, Arnaud Bergeron, Joshua Greaves, Alexandre Fréchette, Carolyne Pelletier, Eric Thibodeau-Laufer, Sándor Tóth, Sam Work
214 Measure gradients, not activations! Enhancing neuronal activity in deep reinforcement learning: Jiashun Liu, Zihao Wu, Johan Samir Obando Ceron, Pablo Samuel Castro, Aaron C. Courville, Ling Pan
1106 From Noise to Narrative: Tracing the Origins of Hallucinations in Transformers: Praneet Suresh, Jack Stanley, Sonia Joseph, Luca Scimeca, Danilo Bzdok
2107 Know Thyself by Knowing Others: Learning Neuron Identity from Population Context: Vinam Arora, Divyansha Lachi, Ian Jarratt Knight, Mehdi Azabou, Blake Aaron Richards, Cole Lincoln Hurwitz, Josh Siegle, Eva L Dyer
2014 REVE: A Foundation Model for EEG - Adapting to Any Setup with Large-Scale Pretraining on 25,000 Subjects: Yassine El Ouahidi, Jonathan Lys, Philipp Thölke, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon, Karim Jerbi, Giulia Lioi
3502 Diffusion Tree Sampling: Scalable inference-time alignment of diffusion models: Vineet Jain, Kusha Sareen, Mohammad Pedramfar, Siamak Ravanbakhsh
3505 Compositional Discrete Latent Code for High Fidelity, Productive Diffusion Models: Samuel Lavoie, Michael Noukhovitch, Aaron C. Courville
3514 Overcoming Long-Context Limitations of State-Space Models via Context-Dependent Sparse Attention: Zhihao Zhan, Jianan Zhao, Zhaocheng Zhu, Jian Tang
4010 Discovering Data Structures: Nearest Neighbor Search and Beyond: Omar Salemohamed, Laurent Charlin, Shivam Garg, Vatsal Sharan, Gregory Valiant
4314 Entropy Rectifying Guidance for Diffusion and Flow Models: Tariq Berrada, Adriana Romero, Michal Drozdzal, Jakob Verbeek, Karteek Alahari
4315 Discovering Latent Graphs with GFlowNets for Diverse Conditional Image Generation: Bailey Trang, Parham Saremi, Alan Q. Wang, Fangrui Huang, Zahra Tehrani Nasab, Amar Kumar, Tal Arbel, Li Fei-Fei, Ehsan Adeli
Dataset and Benchmark Track
311 Generating Creative Chess Puzzles: Xidong Feng, Vivek Veeriah, Marcus Chiam, Michael D Dennis, Federico Barbero, Johan Obando-Ceron, Jiaxin Shi, Satinder Singh, Shaobo Hou, Nenad Tomasev, Tom Zahavy
4913 OpenLex3D: A Tiered Benchmark for Open-Vocabulary 3D Scene Representations: Christina Kassab, Sacha Morin, Martin Büchner, Matias Mattamala, Kumaraditya Gupta, Abhinav Valada, Liam Paull, Maurice Fallon
Mexico Poster Session 5 - 11 AM to 2 PM
4913 OpenLex3D: A Tiered Benchmark for Open-Vocabulary 3D Scene Representations: Christina Kassab, Sacha Morin, Martin Büchner, Matias Mattamala, Kumaraditya Gupta, Abhinav Valada, Liam Paull, Maurice Fallon
Mila @ NeurIPS 2025, 12/06/ 2025
San Diego Poster Session 6 - 4:30 PM to 7:30 PM
Main Conference
1604 Progressive Inference-Time Annealing of Diffusion Models for Sampling from Boltzmann Densities: Tara Akhound-Sadegh, Jungyoon Lee, Avishek Joey Bose, Valentin De Bortoli, Arnaud Doucet, Michael M. Bronstein, Dominique Beaini, Siamak Ravanbakhsh, Kirill Neklyudov, Alexander Tong
2603 Causal Differentiating Concepts: Interpreting LM Behavior via Causal Representation Learning: Navita Goyal, Hal Daumé III, Alexandre Drouin, Dhanya Sridhar
304 Trajectory Balance with Asynchrony: Decoupling Exploration and Learning for Fast, Scalable LLM Post-Training: Brian R. Bartoldson, Siddarth Venkatraman, James Diffenderfer, Moksh Jain, Tal Ben-Nun, Seanie Lee, Minsu Kim, Johan Samir Obando Ceron, Yoshua Bengio, Bhavya Kailkhura
2006 POCO: Scalable Neural Forecasting through Population Conditioning: Yu Duan, Hamza Tahir Chaudhry, Misha B. Ahrens, Christopher D Harvey, Matthew G Perich, Karl Deisseroth, Kanaka Rajan
2103 Energy Loss Functions for Physical Systems: Sékou-Oumar Kaba, Kusha Sareen, Daniel Levy, Siamak Ravanbakhsh
2502 Tracing the representation geometry of language models from pretraining to post-training: Melody Zixuan Li, Kumar Krishna Agrawal, Arna Ghosh, Komal Kumar Teru, Adam Santoro, Guillaume Lajoie, Blake Aaron Richards
3102 Planning and Learning in Average Risk-aware MDPs: Weikai Wang, Erick Delage
3107 Convergence Theorems for Entropy-Regularized and Distributional Reinforcement Learning: Yash Jhaveri, Harley Wiltzer, Patrick Shafto, Marc G. Bellemare, David Meger
4606 Object-centric Binding in Contrastive Language-Image Pretraining: Rim Assouel, Pietro Astolfi, Florian Bordes, Michal Drozdzal, Adriana Romero
Dataset and Benchmark Track
4413 THUNDER: Tile-level Histopathology image UNDERstanding benchmark: Pierre Marza, Leo Fillioux, Sofiène Boutaj, KUNAL MAHATHA, Christian Desrosiers, Pablo Piantanida, Jose Dolz, Stergios Christodoulidis, Maria Vakalopoulou
213 NAVIX: Scaling MiniGrid Environments with JAX: Eduardo Pignatelli, Jarek Luca Liesen, Robert Tjarko Lange, Chris Lu, Pablo Samuel Castro, Laura Toni
Mila @ NeurIPS 2025, 12/07/ 2025
San Diego Cpmpetition - 2 PM to 4:45 PM
The 2025 PNPL competition: Speech detection and phoneme classification in the LibriBrain dataset: Gilad Landau, Miran Özdogan, Gereon Elvers, Francesco Mantegna, Pratik Somaiya, Dulhan Jayalath, Luisa Kurth, Teyun Kwon, Brendan Shillingford, Greg Farquhar, Minqi Jiang, Karim Jerbi, Hamza Abdelhedi, Yorguin Mantilla Ramos, Caglar Gulcehre, Mark Woolrich, Natalie Voets, Oiwi Parker Jones
