Théo Matricon

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 8

Top Topics

Program Synthesis

Acquire Knowledge

Perceptual Aliasing

Top Venues

Meta-Knowledge Transfer @ ECML/PKDD

Publications

Guruprerana Shabadi, Nathanaël Fijalkow, Théo Matricon
Theoretical foundations for programmatic reinforcement learning. CoRR (2024)
Théo Matricon, Nathanaël Fijalkow, Gaëtan Margueritte
WikiCoder: Learning to Write Knowledge-Powered Code. SPIN (2023)
Théo Matricon, Nathanaël Fijalkow, Gaëtan Margueritte
WikiCoder: Learning to Write Knowledge-Powered Code. CoRR (2023)
Théo Matricon, Nathanaël Fijalkow, Guillaume Lagarde, Kevin Ellis
DeepSynth: Scaling Neural Program Synthesis with Distribution-based Search. J. Open Source Softw. 7 (78) (2022)
Nathanaël Fijalkow, Guillaume Lagarde, Théo Matricon, Kevin Ellis, Pierre Ohlmann, Akarsh Nayan Potta
Scaling Neural Program Synthesis with Distribution-Based Search. AAAI (2022)
Marie Anastacio, Théo Matricon, Holger H. Hoos
Challenges of Acquiring Compositional Inductive Biases via Meta-Learning. Meta-Knowledge Transfer @ ECML/PKDD (2022)
Nathanaël Fijalkow, Guillaume Lagarde, Théo Matricon, Kevin Ellis, Pierre Ohlmann, Akarsh Potta
Scaling Neural Program Synthesis with Distribution-based Search. CoRR (2021)
Théo Matricon, Marie Anastacio, Nathanaël Fijalkow, Laurent Simon, Holger H. Hoos
Statistical Comparison of Algorithm Performance Through Instance Selection. CP (2021)