UBS: A Dimension-Agnostic Metric for Concept Vector Interpretability Applied to Radiomics. - Hugo Yèche; Justin Harrison; Tess Berthier (iMIMIC/ML-CDS@MICCAI, 2019)

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

HiRID-ICU-Benchmark - A Comprehensive Machine Learning Benchmark on High-resolution ICU Data. - Hugo Yèche; Rita Kuznetsova; Marc Zimmermann; Matthias Hüser; Xinrui Lyu; Martin Faltys; Gunnar Rätsch (NeurIPS Datasets and Benchmarks, 2021)

Temporal Label Smoothing for Early Prediction of Adverse Events. - Hugo Yèche; Alizée Pace; Gunnar Rätsch; Rita Kuznetsova (CoRR, 2022)

On the Importance of Clinical Notes in Multi-modal Learning for EHR Data. - Severin Husmann; Hugo Yèche; Gunnar Rätsch; Rita Kuznetsova (CoRR, 2022)

Temporal Label Smoothing for Early Event Prediction. - Hugo Yèche; Alizée Pace; Gunnar Rätsch; Rita Kuznetsova (ICML, 2023)

On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series. - Rita Kuznetsova; Alizée Pace; Manuel Burger; Hugo Yèche; Gunnar Rätsch (ML4H@NeurIPS, 2023)

Laplace-Approximated Neural Additive Models: Improving Interpretability with Bayesian Inference. - Kouroche Bouchiat; Alexander Immer; Hugo Yèche; Gunnar Rätsch; Vincent Fortuin (CoRR, 2023)

Dynamic Survival Analysis for Early Event Prediction. - Hugo Yèche; Manuel Burger; Dinara Veshchezerova; Gunnar Rätsch (CHIL, 2024)

Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding. - Alizée Pace; Hugo Yèche; Bernhard Schölkopf; Gunnar Rätsch; Guy Tennenholtz (ICLR, 2024)

Improving Neural Additive Models with Bayesian Principles. - Kouroche Bouchiat; Alexander Immer; Hugo Yèche; Gunnar Rätsch; Vincent Fortuin (ICML, 2024)

Towards Foundation Models for Critical Care Time Series. - Manuel Burger; Fedor Sergeev; Malte Londschien; Daphné Chopard; Hugo Yèche; Eike Gerdes; Polina Leshetkina; Alexander Morgenroth; Zeynep Babür; Jasmina Bogojeska; Martin Faltys; Rita Kuznetsova; et al. (CoRR, 2024)