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Emmanuel Bengio

23 papers · 2017–2025 · 6 venues · across top CS/AI venues

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Achievements

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+11 more ↓ πŸ—ΊοΈ Taxonomy Completionist (38) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🌱 Topic Pioneer πŸ‘‘ Triple Crown πŸ”¬ Deep Specialist (12) πŸ† Keyword Champion (3) 🧭 Keyword Pioneer 🀝 Dynamic Duo (13) 🌈 Renaissance Researcher (6) πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (109)

Venues

ICML (10) ICLR (6) NeurIPS (4) AISTATS (1) EMNLP (1) JMLR (1)

Top co-authors

Yoshua Bengio (13) Moksh Jain (7) Jarrid Rector-Brooks (5) Nikolay Malkin (5) Minsu Kim (5) Taeyoung Yun (4) Doina Precup (4) Jinkyoo Park (4) Ling Pan (3) Dinghuai Zhang (3)

Research topics

Machine Learning (20) Deep Learning (13) Learning Types Β· Machine Learning (13) Models (12) Optimization & Theory (10) Core Methods (9) Artificial Intelligence (8) Reinforcement Learning (7) Methods (7) Core AI (6) Mathematics & Optimization (3) Optimization (3) Bayesian & Probabilistic (2) Learning Paradigms (2) Learning Types Β· Deep Learning (2)

Keywords

generative flow network (10) generative model (5) reinforcement learning (5) active learning (4) trajectory balance (3) reward function (3) gflownet (3) temporal difference learning (2) markov chain monte carlo (2) credit assignment (2) offline reinforcement learning (1) epistemic uncertainty (1) reading comprehension (1) text-to-image generation (1) uncertainty quantification (1) adversarial robustness (1) hierarchical planning (1) pretraining (1) variational inference (1) neural network optimization (1)

Papers

Action abstractions for amortized sampling ICLR 2025 Adaptive teachers for amortized samplers ICLR 2025 Efficient Biological Data Acquisition through Inference Set Design ICLR 2025 Improved Off-policy Reinforcement Learning in Biological Sequence Design ICML 2025 Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation ICML 2025 Random Policy Evaluation Uncovers Policies of Generative Flow Networks ICML 2025 SynFlowNet: Design of Diverse and Novel Molecules with Synthesis Constraints ICLR 2025 Towards Improving Exploration through Sibling Augmented GFlowNets ICLR 2025 Amortizing intractable inference in diffusion models for vision, language, and control NeurIPS 2024 Learning to Scale Logits for Temperature-Conditional GFlowNets ICML 2024 Local Search GFlowNets ICLR 2024 Maximum entropy GFlowNets with soft Q-learning AISTATS 2024 QGFN: Controllable Greediness with Action Values NeurIPS 2024 GFlowNet Foundations JMLR 2023 Learning GFlowNets From Partial Episodes For Improved Convergence And Stability ICML 2023 Multi-Objective GFlowNets ICML 2023 Towards Understanding and Improving GFlowNet Training ICML 2023 Biological Sequence Design with GFlowNets ICML 2022 Trajectory balance: Improved credit assignment in GFlowNets NeurIPS 2022 Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation NeurIPS 2021 Interference and Generalization in Temporal Difference Learning ICML 2020 A Closer Look at Memorization in Deep Networks ICML 2017 World Knowledge for Reading Comprehension: Rare Entity Prediction with Hierarchical LSTMs Using External Descriptions EMNLP 2017