Yèche, Hugo

9 publications

ICLR 2024 Delphic Offline Reinforcement Learning Under Nonidentifiable Hidden Confounding Alizée Pace, Hugo Yèche, Bernhard Schölkopf, Gunnar Ratsch, Guy Tennenholtz

CHIL 2024 Dynamic Survival Analysis for Early Event Prediction Hugo Yèche, Manuel Burger, Dinara Veshchezerova, Gunnar Ratsch

ICML 2024 Improving Neural Additive Models with Bayesian Principles Kouroche Bouchiat, Alexander Immer, Hugo Yèche, Gunnar Ratsch, Vincent Fortuin

NeurIPSW 2024 Towards Foundation Models for Critical Care Time Series Manuel Burger, Fedor Sergeev, Malte Londschien, Daphné Chopard, Hugo Yèche, Eike Christian Gerdes, Polina Leshetkina, Alexander Morgenroth, Zeynep Babür, Jasmina Bogojeska, Martin Faltys, Rita Kuznetsova, Gunnar Ratsch

NeurIPSW 2024 Towards Large-Scale Clinical Multi-Variate Time-Series Datasets Manuel Burger, Fedor Sergeev, Malte Londschien, Daphné Chopard, Hugo Yèche, Eike Christian Gerdes, Polina Leshetkina, Alexander Morgenroth, Zeynep Babür, Jasmina Bogojeska, Martin Faltys, Rita Kuznetsova, Gunnar Ratsch

ICMLW 2023 Delphic Offline Reinforcement Learning Under Nonidentifiable Hidden Confounding Alizée Pace, Hugo Yèche, Bernhard Schölkopf, Gunnar Ratsch, Guy Tennenholtz

ICML 2023 Temporal Label Smoothing for Early Event Prediction Hugo Yèche, Alizée Pace, Gunnar Ratsch, Rita Kuznetsova

NeurIPSW 2022 On the Importance of Clinical Notes in Multi-Modal Learning for EHR Data Severin Husmann, Hugo Yèche, Gunnar Ratsch, Rita Kuznetsova

ICML 2021 Neighborhood Contrastive Learning Applied to Online Patient Monitoring Hugo Yèche, Gideon Dresdner, Francesco Locatello, Matthias Hüser, Gunnar Rätsch