Didier Chetelat
8 papers · 2019–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (12) 🧬 Topic Evolution
🧭
Keyword Pioneer
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Keywords
graph neural network
(5)
combinatorial optimization
(5)
branch and bound
(3)
mixed integer programming
(2)
large language model
(2)
policy gradient
(1)
markov decision process
(1)
message passing
(1)
linear programming
(1)
machine learning
(1)
integer programming
(1)
hidden state
(1)
inductive bia
(1)
neural combinatorial optimization
(1)
credit assignment
(1)
mixed integer linear programming
(1)
look-up table
(1)
interior point method
(1)
siamese network
(1)
exact solver
(1)
Papers
InnerThoughts: Disentangling Representations and Predictions in Large Language Models
AISTATS 2025
The Graph’s Apprentice: Teaching an LLM Low-Level Knowledge for Circuit Quality Estimation
IJCAI 2025
Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems
AISTATS 2024
Combinatorial Optimization and Reasoning with Graph Neural Networks
JMLR 2023
Learning to Branch with Tree MDPs
NeurIPS 2022
Learning to Compare Nodes in Branch and Bound with Graph Neural Networks
NeurIPS 2022
Combinatorial Optimization and Reasoning with Graph Neural Networks
IJCAI 2021
Exact Combinatorial Optimization with Graph Convolutional Neural Networks
NeurIPS 2019