Publications

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

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

Matthias Hüser, Xinrui Lyu, Martin Faltys, Alizée Pace, Marine Hoche, Stephanie L Hyland, Hugo Yèche, Manuel Burger, Tobias M Merz, Gunnar Rätsch (2024). A comprehensive ml-based respiratory monitoring system for physiological monitoring & resource planning in the icu. medRxiv.

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

Alizée Pace, Hugo Yèche, Bernhard Schölkopf, Gunnar Rätsch, Guy Tennenholtz (2023). Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding. ICLR 2024.

Hugo Yèche *, Alizée Pace *, Gunnar Rätsch, Rita Kuznetsova (2022). Temporal Label Smoothing for Early Event Prediction. In ICML 2023.

Severin Husmann, Hugo Yèche, Gunnar Rätsch, Rita Kuznetsova (2022). On the Importance of Clinical Notes in Multi-modal Learning for EHR Data. TS4H@NeurIPS.

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

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

Hugo Yèche, Justin Harrison, Tess Berthier (2019). UBS: A Dimension-Agnostic Metric for Concept Vector Interpretability Applied to Radiomics. Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support - Second International Workshop, iMIMIC 2019, and 9th International Workshop, ML-CDS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings.