Philippe Formont

According to our database, Philippe Formont authored at least 8 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

MolRGen: A Training and Evaluation Setting for De Novo Molecular Generation with Reasonning Models.

Philippe Formont, Maxime Darrin, Ismail Ben Ayed, Pablo Piantanida

CoRR, March, 2026

2025

Learning Task-Agnostic Representations through Multi-Teacher Distillation.

Philippe Formont, Maxime Darrin, Banafsheh Karimian, Jackie CK Cheung, Eric Granger, Ismail Ben Ayed, Mohammadhadi Shateri, Pablo Piantanida

CoRR, October, 2025

Membership Inference Risks in Quantized Models: A Theoretical and Empirical Study.

Eric Aubinais, Philippe Formont, Pablo Piantanida, Elisabeth Gassiat

CoRR, February, 2025

A Strong Baseline for Molecular Few-Shot Learning.

Philippe Formont, Hugo Jeannin, Pablo Piantanida, Ismail Ben Ayed

Trans. Mach. Learn. Res., 2025

Statistical Deficiency for Task Inclusion Estimation.

Loïc Fosse, Frédéric Béchet, Benoît Favre, Géraldine Damnati, Gwénolé Lecorvé, Maxime Darrin, Philippe Formont, Pablo Piantanida

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Is Meta-training Really Necessary for Molecular Few-Shot Learning ?

Philippe Formont, Hugo Jeannin, Pablo Piantanida, Ismail Ben Ayed

CoRR, 2024

When is an Embedding Model More Promising than Another?

Maxime Darrin, Philippe Formont, Ismail Ben Ayed, Jackie CK Cheung, Pablo Piantanida

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

COSMIC: Mutual Information for Task-Agnostic Summarization Evaluation.

Maxime Darrin, Philippe Formont, Jackie Chi Kit Cheung, Pablo Piantanida

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024