Tristan Deleu
12 papers · 2020–2024 · 6 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (30) 👥 Mega-Team · Squad
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Grand Slam
👥
Mega-Team · Squad
🤝
Dynamic Duo
(11)
🌈
Renaissance Researcher
(5)
⚡
Prolific Year · Productive
💎
Century Club · Bronze
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Keyword Collector
(53)
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Unstoppable · Bronze
Top co-authors
Research topics
Machine Learning
(10)
Artificial Intelligence
(9)
Deep Learning
(7)
Learning Types
(6)
Core AI
(5)
Models
(5)
Optimization & Theory
(5)
Bayesian & Probabilistic · Machine Learning
(4)
Bayesian & Probabilistic · Artificial Intelligence
(4)
Learning Paradigms
(2)
Data Science & Analytics
(1)
Healthcare & Medicine
(1)
Knowledge & Reasoning
(1)
Reinforcement Learning
(1)
Applications
(1)
Keywords
generative flow network
(6)
directed acyclic graph
(3)
structure learning
(2)
causal discovery
(2)
few-shot learning
(2)
variational inference
(2)
group lasso
(1)
manifold learning
(1)
multi-task learning
(1)
probabilistic inference
(1)
mutual information
(1)
deep learning
(1)
probabilistic modeling
(1)
disease surveillance
(1)
posterior distribution
(1)
sparse learning
(1)
markov decision process
(1)
importance sampling
(1)
markov chain monte carlo
(1)
transfer learning
(1)
Papers
Discrete Probabilistic Inference as Control in Multi-path Environments
UAI 2024
A theory of continuous generative flow networks
ICML 2023
GFlowNet Foundations
JMLR 2023
GFlowNets and variational inference
ICLR 2023
Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network
NeurIPS 2023
Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning
ICML 2023
The Effect of Diversity in Meta-Learning
AAAI 2023
Bayesian structure learning with generative flow networks
UAI 2022
Continuous-Time Meta-Learning with Forward Mode Differentiation
ICLR 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