Vincent Plassier

PhD student, Ecole polytechnique

Joined

May 2021

Names

Vincent Plassier (Preferred)

Emails

****@ens-paris-saclay.fr (Confirmed)

Personal Links

Homepage

Google Scholar

ORCID

Career & Education History

PhD student

Ecole polytechnique (polytechnique.edu)

2020 – 2099

Advisors, Relations & Conflicts

Coauthor

François Portier

Present

Coauthor

Johan Segers

Present

Coauthor

Maxime Vono

Present

PhD Advisor

Eric Moulines

Present

PhD Advisor

Alain Durmus

Present

Expertise

Empirical Process

Present

Monte Carlo

Present

Conformal Prediction

Present

Federated Learning

Present

Diffusion Probabilistic Models

Present

Publications

Rectifying Conformity Scores for Better Conditional Coverage
Vincent Plassier, Alexander Fishkov, Victor Dheur, Mohsen Guizani, Souhaib Ben Taieb, Maxim Panov, Eric Moulines
- ICML 2025 poster
- Readers: Everyone
Probabilistic Conformal Prediction with Approximate Conditional Validity
Vincent Plassier, Alexander Fishkov, Mohsen Guizani, Maxim Panov, Eric Moulines
- ICLR 2025 Poster
- Readers: Everyone
Conformal Prediction for Federated Uncertainty Quantification Under Label Shift
Vincent Plassier, Mehdi Makni, Aleksandr Rubashevskii, Eric Moulines, Maxim Panov
- ICML 2023 Poster
- Readers: Everyone
Membership Inference Attacks via Adversarial Examples
Hamid Jalalzai, Elie KADOCHE, Rémi Leluc, Vincent Plassier
- Published: 21 Nov 2022, Last Modified: 09 Nov 2025
- TSRML2022
- Readers: Everyone
QLSD: Quantised Langevin Stochastic Dynamics for Bayesian Federated Learning
Maxime Vono, Vincent Plassier, Alain Durmus, Aymeric Dieuleveut, Eric Moulines
- 19 May 2022
- OpenReview Archive Direct Upload
- Readers: Everyone
DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo within Gibbs
Vincent Plassier, Maxime Vono, Alain Durmus, Eric Moulines
- 19 May 2022
- OpenReview Archive Direct Upload
- Readers: Everyone

Vincent Plassier

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Rectifying Conformity Scores for Better Conditional Coverage

Probabilistic Conformal Prediction with Approximate Conditional Validity

Conformal Prediction for Federated Uncertainty Quantification Under Label Shift

Membership Inference Attacks via Adversarial Examples

QLSD: Quantised Langevin Stochastic Dynamics for Bayesian Federated Learning

DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo within Gibbs

Co-Authors