Philippe Formont

11 papers A* 1Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
MolRGen: A Training and Evaluation Setting for De Novo Molecular Generation with Reasonning Models.
CoRR
Philippe Formont, Maxime Darrin, Ismail Ben Ayed, Pablo Piantanida
2025 J jnl
A Strong Baseline for Molecular Few-Shot Learning.
Trans. Mach. Learn. Res.
Philippe Formont, Hugo Jeannin, Pablo Piantanida, Ismail Ben Ayed
2025 J jnl
Learning Task-Agnostic Representations through Multi-Teacher Distillation.
CoRR
Philippe Formont, Maxime Darrin, Banafsheh Karimian, Jackie CK Cheung, Eric Granger, Ismail Ben Ayed, Mohammadhadi Shateri, Pablo Piantanida
2025 J jnl
Membership Inference Risks in Quantized Models: A Theoretical and Empirical Study.
CoRR
Eric Aubinais, Philippe Formont, Pablo Piantanida, Elisabeth Gassiat
2025 — conf
Statistical Deficiency for Task Inclusion Estimation.
ACL (1)
Loïc Fosse, Frédéric Béchet, Benoît Favre, Géraldine Damnati, Gwénolé Lecorvé, Maxime Darrin, Philippe Formont, Pablo Piantanida
2025 J jnl
Statistical Deficiency for Task Inclusion Estimation.
CoRR
Loïc Fosse, Frédéric Béchet, Benoît Favre, Géraldine Damnati, Gwénolé Lecorvé, Maxime Darrin, Philippe Formont, Pablo Piantanida
2024 — conf
COSMIC: Mutual Information for Task-Agnostic Summarization Evaluation.
ACL (1)
Maxime Darrin, Philippe Formont, Jackie Chi Kit Cheung, Pablo Piantanida
2024 J jnl
COSMIC: Mutual Information for Task-Agnostic Summarization Evaluation.
CoRR
Maxime Darrin, Philippe Formont, Jackie Chi Kit Cheung, Pablo Piantanida
2024 J jnl
Is Meta-training Really Necessary for Molecular Few-Shot Learning ?
CoRR
Philippe Formont, Hugo Jeannin, Pablo Piantanida, Ismail Ben Ayed
2024 A* conf
When is an Embedding Model More Promising than Another?
NeurIPS
Maxime Darrin, Philippe Formont, Ismail Ben Ayed, Jackie CK Cheung, Pablo Piantanida
2024 J jnl
When is an Embedding Model More Promising than Another?
CoRR
Maxime Darrin, Philippe Formont, Ismail Ben Ayed, Jackie C. K. Cheung, Pablo Piantanida