Learning the Dynamics of Sparsely Observed Interacting Systems. - Linus Bleistein; Adeline Fermanian; Anne-Sophie Jannot; Agathe Guilloux (ICML, 2023)

On the Generalization Capacities of Neural Controlled Differential Equations. - Linus Bleistein; Agathe Guilloux (CoRR, 2023)

On the Generalization and Approximation Capacities of Neural Controlled Differential Equations. - Linus Bleistein; Agathe Guilloux (ICLR, 2024)

Dynamic Survival Analysis with Controlled Latent States. - Linus Bleistein; Van-Tuan Nguyen; Adeline Fermanian; Agathe Guilloux (ICML, 2024)

Dynamical Survival Analysis with Controlled Latent States. - Linus Bleistein; Van-Tuan Nguyen; Adeline Fermanian; Agathe Guilloux (CoRR, 2024)

Large Language Models as Markov Chains. - Oussama Zekri; Ambroise Odonnat; Abdelhakim Benechehab; Linus Bleistein; Nicolas Boullé; Ievgen Redko (CoRR, 2024)

Predicting gene essentiality and drug response from perturbation screens in preclinical cancer models with LEAP: Layered Ensemble of Autoencoders and Predictors. - Barbara Bodinier; Gaëtan Dissez; Linus Bleistein; Antonin Dauvin (CoRR, 2025)

Optimal Transport with Heterogeneously Missing Data. - Linus Bleistein; Aurélien Bellet; Julie Josse (CoRR, 2025)