I am generally interested in problems at the intersection of healthcare, learning theory and trustworthy ML. I have recently started working on sequential decision making and large language models. 

Membership Inference Attacks from Causal Principles

M. Even, C. Berenfeld, L. Bleistein, T. Cebere, J. Josse, A. Bellet. Preprint, 2026. Online access.

Variational Inference for Uncertain Optimal Transport via Sinkhorn Parametrization

A. De, L. Bleistein, A.F. Thielmann, B. Säfken. Preprint, 2026.

Optimal Transport under Group Fairness Constraints

L. Bleistein*, M. Dagréou*, F. Andrade, T. Boudou, A. Bellet. Preprint, 2026. Online access.

Optimal Transport with Heterogeneously Missing Data

L. Bleistein, A. Bellet, J. Josse. Preprint, 2025. Online access.

Predicting Gene Essentiality and Drug Response from Perturbation Screens in Preclinical Cancer Models with Layered Ensemble of Autoencoders and Predictors

B. Bodinier, G. Dissez, L. Bleistein, A. Dauvin. Preprint, 2025. Online access.

Large Language Models as Markov Chains

O. Zekri, A. Odonnat, A. Benechehab, L. Bleistein, N. Boullé, I. Redko. Preprint, 2024. Online access.

Dynamical Survival Analysis with Controlled Latent States

L. Bleistein*, V.T. Nguyen*, A. Fermanian, A. Guilloux, ICML 2024. Online access.

On the Generalisation and Approximation Capacities of Neural Controlled Differential Equations

L. Bleistein, A. Guilloux, ICLR 2024 (previously presented at ICML Workshop on New Frontiers in Learning, Control, and Dynamics, 2023). Online access.

Learning the Dynamics of Sparsely Observed Interacting Systems

L. Bleistein*, A. Fermanian*, A.S. Jannot, A. Guilloux, ICML 2023. Online access.

Parcours Hospitaliers des Patients Atteints de la COVID-19 de Mars 2020 à Janvier 2021

H. El-Rais, M. Aflak-Kattar, L. Bleistein, Les Dossiers de la DREES, 2021. Online access.