Publications

PLease find my articles on my Google Scholar profile or on my DBLP profile. This list serves as permanent links to supplementary material such as code.

2024

Theoretical foundations for programmatic reinforcement learning

Guruprerana Shabadi, Nathanaël Fijalkow, Théo Matricon
Published in under review

DOI

2023

WikiCoder: Learning to Write Knowledge-Powered Code

Théo Matricon, Nathanaël Fijalkow, Gaëtan Margueritte
Published in SPIN (ETAPS)

Project DOI Code

2022

Software: DeepSynth

Théo Matricon, Nathanaël Fijalkow, Guillaume Lagarde, Kevin Ellis
Published in JOSS

Project DOI Code

Challenges of Acquiring Compositional Inductive Biases via Meta-Learning

Marie Anastacio, Théo Matricon, Holger Hoos
Published in ECMLPKDD Workshop on Meta-Knowledge Transfer,

Project DOI Code

Scaling Neural Program Synthesis with Distribution-based Search

Nathanaël Fijalkow, Guillaume Lagarde, Théo Matricon, Kevin Ellis, Pierre Ohlmann, Akarsh Potta
Published in AAAI 2022 (Oral, ~5% of submissions accepted for oral, 15% acceptance rate, 9k+ submissions)

Project DOI Code Slides

2021

Statistical Comparison of Algorithm Performance Through Instance Selection

Théo Matricon, Marie Anastacio, Nathanaël Fijalkow, Laurent Simon, Holger H. Hoos
Published in CP 2021 (30% acceptance rate)

DOI Code Talk Slides