Tristan Deleu
12 papers · 2020–2024 · 6 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Conference Polyglot (6) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (15)
π£
Hot Topic Early Bird
π€
Dynamic Duo
(11)
π
Triple Crown
π
Grand Slam
π₯
Mega-Team
(23)
β‘
Prolific Year
(6)
π
Century Club
(12)
π₯
Unstoppable
(5)
Conferences
ICLR (5)
ICML (2)
UAI (2)
AAAI (1)
JMLR (1)
NIPS (1)
Top co-authors
Keywords
generative flow network
(4)
directed acyclic graph
(2)
few-shot learning
(1)
probabilistic modeling
(1)
manifold learning
(1)
variational inference
(1)
sparse learning
(1)
structure learning
(1)
group lasso
(1)
markov chain monte carlo
(1)
posterior distribution
(1)
mutual information
(1)
probability distribution
(1)
parameter inference
(1)
sparse feature learning
(1)
reward function
(1)
continuous state space
(1)
posterior approximation
(1)
amortized inference
(1)
bayesian network
(1)
Papers
Discrete Probabilistic Inference as Control in Multi-path Environments
UAI 2024
The Effect of Diversity in Meta-Learning
AAAI 2023
GFlowNets and variational inference
ICLR 2023
Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network
NIPS 2023
Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning
ICML 2023
A theory of continuous generative flow networks
ICML 2023
GFlowNet Foundations
JMLR 2023
Continuous-Time Meta-Learning with Forward Mode Differentiation
ICLR 2022
Bayesian structure learning with generative flow networks
UAI 2022
Predicting Infectiousness for Proactive Contact Tracing
ICLR 2021
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
ICLR 2020
Gradient-Based Neural DAG Learning
ICLR 2020