Didier Chetelat
8 papers · 2019–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🗺️ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (4) 🏃 Academic Marathon (6)
🐝
Cross-Pollinator
(13)
🌉
Interdisciplinary Bridge
🧬
Topic Evolution
🔥
Unstoppable
(5)
Conferences
NIPS (3)
AISTATS (2)
IJCAI (2)
JMLR (1)
Top co-authors
Keywords
graph neural network
(5)
combinatorial optimization
(5)
branch and bound
(3)
imitation learning
(1)
policy gradient
(1)
markov decision process
(1)
message passing
(1)
mixed integer programming
(1)
linear programming
(1)
machine learning
(1)
integer programming
(1)
inductive bia
(1)
neural combinatorial optimization
(1)
credit assignment
(1)
mixed integer linear programming
(1)
look-up table
(1)
mixed-integer programming
(1)
interior point method
(1)
siamese network
(1)
exact solver
(1)
Papers
The Graph’s Apprentice: Teaching an LLM Low-Level Knowledge for Circuit Quality Estimation
IJCAI 2025
InnerThoughts: Disentangling Representations and Predictions in Large Language Models
AISTATS 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 Compare Nodes in Branch and Bound with Graph Neural Networks
NIPS 2022
Learning to Branch with Tree MDPs
NIPS 2022
Combinatorial Optimization and Reasoning with Graph Neural Networks
IJCAI 2021
Exact Combinatorial Optimization with Graph Convolutional Neural Networks
NIPS 2019