Hugo Yèche - RankMe

18 papers A* 4Journal 10Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	RMS: a ML-based system for ICU respiratory monitoring and resource planning. npj Digit. Medicine Matthias Hüser, Xinrui Lyu, Martin Faltys, Alizée Pace, David Berger, Marine Hoche, Stephanie L. Hyland, Hugo Yèche, Manuel Burger, Tobias M. Merz, Gunnar Rätsch
2024	A*	`conf`	Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding. ICLR Alizée Pace, Hugo Yèche, Bernhard Schölkopf, Gunnar Rätsch, Guy Tennenholtz
2024	—	`conf`	Dynamic Survival Analysis for Early Event Prediction. CHIL Hugo Yèche, Manuel Burger, Dinara Veshchezerova, Gunnar Rätsch
2024	J	`jnl`	Dynamic Survival Analysis for Early Event Prediction. CoRR Hugo Yèche, Manuel Burger, Dinara Veshchezerova, Gunnar Rätsch
2024	A*	`conf`	Improving Neural Additive Models with Bayesian Principles. ICML Kouroche Bouchiat, Alexander Immer, Hugo Yèche, Gunnar Rätsch, Vincent Fortuin
2024	J	`jnl`	Towards Foundation Models for Critical Care Time Series. CoRR Manuel Burger, Fedor Sergeev, Malte Londschien, Daphné Chopard, Hugo Yèche, Eike Gerdes, Polina Leshetkina, Alexander Morgenroth, Zeynep Babür, Jasmina Bogojeska, Martin Faltys, Rita Kuznetsova, Gunnar Rätsch
2023	J	`jnl`	Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding. CoRR Alizée Pace, Hugo Yèche, Bernhard Schölkopf, Gunnar Rätsch, Guy Tennenholtz
2023	J	`jnl`	Laplace-Approximated Neural Additive Models: Improving Interpretability with Bayesian Inference. CoRR Kouroche Bouchiat, Alexander Immer, Hugo Yèche, Gunnar Rätsch, Vincent Fortuin
2023	—	`conf`	On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series. ML4H@NeurIPS Rita Kuznetsova, Alizée Pace, Manuel Burger, Hugo Yèche, Gunnar Rätsch
2023	J	`jnl`	On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series. CoRR Rita Kuznetsova, Alizée Pace, Manuel Burger, Hugo Yèche, Gunnar Rätsch
2023	A*	`conf`	Temporal Label Smoothing for Early Event Prediction. ICML Hugo Yèche, Alizée Pace, Gunnar Rätsch, Rita Kuznetsova
2022	J	`jnl`	On the Importance of Clinical Notes in Multi-modal Learning for EHR Data. CoRR Severin Husmann, Hugo Yèche, Gunnar Rätsch, Rita Kuznetsova
2022	J	`jnl`	Temporal Label Smoothing for Early Prediction of Adverse Events. CoRR Hugo Yèche, Alizée Pace, Gunnar Rätsch, Rita Kuznetsova
2021	—	`conf`	HiRID-ICU-Benchmark - A Comprehensive Machine Learning Benchmark on High-resolution ICU Data. NeurIPS Datasets and Benchmarks Hugo Yèche, Rita Kuznetsova, Marc Zimmermann, Matthias Hüser, Xinrui Lyu, Martin Faltys, Gunnar Rätsch
2021	J	`jnl`	HiRID-ICU-Benchmark - A Comprehensive Machine Learning Benchmark on High-resolution ICU Data. CoRR Hugo Yèche, Rita Kuznetsova, Marc Zimmermann, Matthias Hüser, Xinrui Lyu, Martin Faltys, Gunnar Rätsch
2021	A*	`conf`	Neighborhood Contrastive Learning Applied to Online Patient Monitoring. ICML Hugo Yèche, Gideon Dresdner, Francesco Locatello, Matthias Hüser, Gunnar Rätsch
2021	J	`jnl`	Neighborhood Contrastive Learning Applied to Online Patient Monitoring. CoRR Hugo Yèche, Gideon Dresdner, Francesco Locatello, Matthias Hüser, Gunnar Rätsch
2019	—	`conf`	UBS: A Dimension-Agnostic Metric for Concept Vector Interpretability Applied to Radiomics. iMIMIC/ML-CDS@MICCAI Hugo Yèche, Justin Harrison, Tess Berthier