PPaperPicks

Yoshua Bengio

University of Montréal, Department of Computer Science and Operations Research, QC, Canada

51 papers at tracked venues · 45 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-9322-3515 ↗Google Scholar ↗Homepage ↗

Venues

ICLR ×23NeurIPS ×10ICML ×9UAI ×3AAAI ×2AISTATS ×2ACL ×1WACV ×1

Frequent coauthors

Minsu Kim
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Aniket Didolkar
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Tianyu Zhang
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Jaesik Yoon
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Seanie Lee
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Siddarth Venkatraman
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Harry Zhao
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Leo Feng
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Chang Chen
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Oussama Boussif
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Gyubin Lee
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Ahmed Masry
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Papers

  1. Extendable Planning via Multiscale Diffusion
    AAAI 2026 ·
    Chang Chen
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  2. AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N
    ICML 2025 ·
    Tianyu Zhang
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  3. Action abstractions for amortized sampling
    ICLR 2025 ·
    Oussama Boussif
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  4. Adaptive Inference-Time Scaling via Cyclic Diffusion Search
    NeurIPS 2025 ·
    Gyubin Lee
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  5. Adaptive teachers for amortized samplers
    ICLR 2025 ·
    Minsu Kim
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  6. AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Document Understanding
    NeurIPS 2025 ·
    Ahmed Masry
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  7. Ant Colony Sampling with GFlowNets for Combinatorial Optimization
    AISTATS 2025 ·
    Minsu Kim
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  8. AssembleFlow: Rigid Flow Matching with Inertial Frames for Molecular Assembly
    ICLR 2025 ·
    Hongyu Guo
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  9. Bringing SAM to new heights: leveraging elevation data for tree crown segmentation from drone imagery
    NeurIPS 2025 ·
    Mélisande Teng
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  10. Can a Bayesian Oracle Prevent Harm from an Agent?
    UAI 2025 · Yoshua Bengio
  11. EarthView: A Large Scale Remote Sensing Dataset for Self-Supervision
    WACV 2025 ·
    Diego A. Velázquez
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  12. Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets
    ICLR 2025 ·
    Zhen Liu
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  13. Fast Monte Carlo Tree Diffusion: 100× Speedup via Parallel and Sparse Planning
    NeurIPS 2025 ·
    Jaesik Yoon
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  14. Geometric Signatures of Compositionality Across a Language Model's Lifetime
    ACL 2025 ·
    Jin Hwa Lee
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  15. HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models
    ICLR 2025 ·
    Seanie Lee
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  16. Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning
    ICLR 2025 ·
    Seanie Lee
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  17. MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation
    ICLR 2025 ·
    Lu Li
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  18. Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold
    ICLR 2025 ·
    Lazar Atanackovic
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  19. Monte Carlo Tree Diffusion for System 2 Planning
    ICML 2025 ·
    Jaesik Yoon
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  20. On the Transfer of Object-Centric Representation Learning
    ICLR 2025 ·
    Aniket Rajiv Didolkar
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  21. Outsourced Diffusion Sampling: Efficient Posterior Inference in Latent Spaces of Generative Models
    ICML 2025 ·
    Siddarth Venkatraman
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  22. RL, but don't do anything I wouldn't do
    UAI 2025 ·
    Michael K. Cohen
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  23. Rejecting Hallucinated State Targets during Planning
    ICML 2025 ·
    Harry Zhao
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  24. Structure Language Models for Protein Conformation Generation
    ICLR 2025 ·
    Jiarui Lu
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  25. Towards Improving Exploration through Sibling Augmented GFlowNets
    ICLR 2025 ·
    Kanika Madan
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  26. Towards a Formal Theory of Representational Compositionality
    ICML 2025 ·
    Eric Elmoznino
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  27. Trajectory Balance with Asynchrony: Decoupling Exploration and Learning for Fast, Scalable LLM Post-Training
    NeurIPS 2025 ·
    Brian R. Bartoldson
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  28. VCR: A Task for Pixel-Level Complex Reasoning in Vision Language Models via Restoring Occluded Text
    ICLR 2025 ·
    Tianyu Zhang
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  29. Amortizing intractable inference in diffusion models for vision, language, and control
    NeurIPS 2024 ·
    Siddarth Venkatraman
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  30. Amortizing intractable inference in large language models
    ICLR 2024 ·
    Edward J. Hu
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  31. Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning
    ICLR 2024 ·
    Harry Zhao
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  32. Cycle Consistency Driven Object Discovery
    ICLR 2024 ·
    Aniket Rajiv Didolkar
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  33. Delta-AI: Local objectives for amortized inference in sparse graphical models
    ICLR 2024 ·
    Jean-Pierre R. Falet
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  34. Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization
    ICLR 2024 ·
    Dinghuai Zhang
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  35. Discrete Probabilistic Inference as Control in Multi-path Environments
    UAI 2024 ·
    Tristan Deleu
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  36. Expected flow networks in stochastic environments and two-player zero-sum games
    ICLR 2024 ·
    Marco Jiralerspong
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  37. Improved off-policy training of diffusion samplers
    NeurIPS 2024 ·
    Marcin Sendera
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  38. Improving Gradient-Guided Nested Sampling for Posterior Inference
    ICML 2024 ·
    Pablo Lemos
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  39. Iterated Denoising Energy Matching for Sampling from Boltzmann Densities
    ICML 2024 ·
    Tara Akhound-Sadegh
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  40. Learning to Scale Logits for Temperature-Conditional GFlowNets
    ICML 2024 ·
    Minsu Kim
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  41. Local Search GFlowNets
    ICLR 2024 ·
    Minsu Kim
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  42. Memory Efficient Neural Processes via Constant Memory Attention Block
    ICML 2024 ·
    Leo Feng
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  43. Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving
    NeurIPS 2024 ·
    Aniket Didolkar
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  44. Object centric architectures enable efficient causal representation learning
    ICLR 2024 ·
    Amin Mansouri
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  45. PhyloGFN: Phylogenetic inference with generative flow networks
    ICLR 2024 ·
    Ming-Yang Zhou
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  46. Pre-Training and Fine-Tuning Generative Flow Networks
    ICLR 2024 ·
    Ling Pan
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  47. RGFN: Synthesizable Molecular Generation Using GFlowNets
    NeurIPS 2024 ·
    Michal Koziarski
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  48. Regeneration Learning: A Learning Paradigm for Data Generation
    AAAI 2024 ·
    Xu Tan
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  49. Simulation-Free Schrödinger Bridges via Score and Flow Matching
    AISTATS 2024 ·
    Alexander Tong
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  50. Trajectory Flow Matching with Applications to Clinical Time Series Modelling
    NeurIPS 2024 ·
    Xi Zhang
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  51. Tree Cross Attention
    ICLR 2024 ·
    Leo Feng
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