Hugo Yèche

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 14

Top Topics

Patient Monitoring

Chronic Hepatitis

Reinforcement Learning

Top Venues

Publications

Hugo Yèche, Manuel Burger, Dinara Veshchezerova, Gunnar Rätsch
Dynamic Survival Analysis for Early Event Prediction. CoRR (2024)
Alizée Pace, Hugo Yèche, Bernhard Schölkopf, Gunnar Rätsch, Guy Tennenholtz
Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding. ICLR (2024)
Rita Kuznetsova, Alizée Pace, Manuel Burger, Hugo Yèche, Gunnar Rätsch
On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series. CoRR (2023)
Kouroche Bouchiat, Alexander Immer, Hugo Yèche, Gunnar Rätsch, Vincent Fortuin
Laplace-Approximated Neural Additive Models: Improving Interpretability with Bayesian Inference. CoRR (2023)
Hugo Yèche, Alizée Pace, Gunnar Rätsch, Rita Kuznetsova
Temporal Label Smoothing for Early Event Prediction. ICML (2023)
Rita Kuznetsova, Alizée Pace, Manuel Burger, Hugo Yèche, Gunnar Rätsch
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
Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding. CoRR (2023)
Hugo Yèche, Alizée Pace, Gunnar Rätsch, Rita Kuznetsova
Temporal Label Smoothing for Early Prediction of Adverse Events. CoRR (2022)
Severin Husmann, Hugo Yèche, Gunnar Rätsch, Rita Kuznetsova
On the Importance of Clinical Notes in Multi-modal Learning for EHR Data. CoRR (2022)
Hugo Yèche, Gideon Dresdner, Francesco Locatello, Matthias Hüser, Gunnar Rätsch
Neighborhood Contrastive Learning Applied to Online Patient Monitoring. ICML (2021)
Hugo Yèche, Gideon Dresdner, Francesco Locatello, Matthias Hüser, Gunnar Rätsch
Neighborhood Contrastive Learning Applied to Online Patient Monitoring. CoRR (2021)
Hugo Yèche, Rita Kuznetsova, Marc Zimmermann, Matthias Hüser, Xinrui Lyu, Martin Faltys, Gunnar Rätsch
HiRID-ICU-Benchmark - A Comprehensive Machine Learning Benchmark on High-resolution ICU Data. NeurIPS Datasets and Benchmarks (2021)
Hugo Yèche, Rita Kuznetsova, Marc Zimmermann, Matthias Hüser, Xinrui Lyu, Martin Faltys, Gunnar Rätsch
HiRID-ICU-Benchmark - A Comprehensive Machine Learning Benchmark on High-resolution ICU Data. CoRR (2021)
Hugo Yèche, Justin Harrison, Tess Berthier
UBS: A Dimension-Agnostic Metric for Concept Vector Interpretability Applied to Radiomics. iMIMIC/ML-CDS@MICCAI (2019)