Emmanuel Bengio
23 papers · 2017–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π£ Hot Topic Early Bird π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (12) π Conference Polyglot (6)
π
Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(12)
π§
Keyword Pioneer
π±
Topic Pioneer
π
Triple Crown
π€
Dynamic Duo
(13)
ποΈ
Keyword Collector
(65)
β‘
Prolific Year
(5)
π
Trend Setter
π
Century Club
(23)
π₯
Unstoppable
(6)
Conferences
ICML (10)
ICLR (6)
NIPS (4)
AISTATS (1)
EMNLP (1)
JMLR (1)
Top co-authors
Keywords
generative flow network
(6)
generative model
(4)
active learning
(3)
trajectory balance
(3)
reinforcement learning
(3)
reward function
(2)
markov chain monte carlo
(2)
temporal difference learning
(2)
maximum entropy
(1)
diverse sampling
(1)
probabilistic modeling
(1)
flow matching
(1)
neural network optimization
(1)
text-to-image generation
(1)
protein sequence
(1)
reading comprehension
(1)
posterior inference
(1)
epistemic uncertainty
(1)
probability distribution
(1)
mutual information
(1)
Papers
Action abstractions for amortized sampling
ICLR 2025
SynFlowNet: Design of Diverse and Novel Molecules with Synthesis Constraints
ICLR 2025
Adaptive teachers for amortized samplers
ICLR 2025
Towards Improving Exploration through Sibling Augmented GFlowNets
ICLR 2025
Random Policy Evaluation Uncovers Policies of Generative Flow Networks
ICML 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
Efficient Biological Data Acquisition through Inference Set Design
ICLR 2025
Local Search GFlowNets
ICLR 2024
Amortizing intractable inference in diffusion models for vision, language, and control
NIPS 2024
QGFN: Controllable Greediness with Action Values
NIPS 2024
Maximum entropy GFlowNets with soft Q-learning
AISTATS 2024
Learning to Scale Logits for Temperature-Conditional GFlowNets
ICML 2024
GFlowNet Foundations
JMLR 2023
Multi-Objective GFlowNets
ICML 2023
Learning GFlowNets From Partial Episodes For Improved Convergence And Stability
ICML 2023
Towards Understanding and Improving GFlowNet Training
ICML 2023
Biological Sequence Design with GFlowNets
ICML 2022
Trajectory balance: Improved credit assignment in GFlowNets
NIPS 2022
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation
NIPS 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