Matthias Hüser

Joined

September 2018

Names

Matthias Hüser (Preferred)

Emails

****@inf.ethz.ch (Confirmed)

Personal Links

Career & Education History

PhD student

Swiss Federal Institute of Technology (ethz.ch)

2016 – 2021

MS student

Swiss Federal Institute of Technology (ethz.ch)

2012 – 2015

Undergrad student

Imperial College London (imperial.ac.uk)

2009 – 2012

Advisors, Relations & Conflicts

PhD Advisor

Gunnar Rätsch

2016 – 2021

Expertise

Deep Learning

Present

Unsupervised Representation Learning

Present

Machine Learning for Health Care

Present

Publications

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 Ratsch
- Published: 29 Jul 2021, Last Modified: 26 May 2025
- NeurIPS 2021 Datasets and Benchmarks Track (Round 1)
- Readers: Everyone
T-DPSOM: an interpretable clustering method for unsupervised learning of patient health states
Laura Manduchi, Matthias Hüser, Martin Faltys, Julia E. Vogt, Gunnar Rätsch, Vincent Fortuin
- 2021 (modified: 12 May 2023)
- CHIL 2021
- Readers: Everyone
WRSE - a non-parametric weighted-resolution ensemble for predicting individual survival distributions in the ICU
Jonathan Heitz, Joanna Ficek, Martin Faltys, Tobias M. Merz, Gunnar Rätsch, Matthias Hüser
- 2020 (modified: 03 Nov 2022)
- CoRR 2020
- Readers: Everyone
Machine learning for early prediction of circulatory failure in the intensive care unit.
Stephanie L. Hyland, Martin Faltys, Matthias Hüser, Xinrui Lyu, Thomas Gumbsch, Cristóbal Esteban, Christian Bock, Max Horn, Michael Moor, Bastian Rieck, Marc Zimmermann, Dean A. Bodenham, Karsten M. Borgwardt, Gunnar Rätsch, Tobias M. Merz
- 2019 (modified: 09 Nov 2022)
- CoRR2019
- Readers: Everyone
Forecasting intracranial hypertension using multi-scale waveform metrics
Matthias Hüser, Adrian Kündig, Walter Karlen, Valeria De Luca, Martin Jaggi
- 2019 (modified: 08 Nov 2022)
- CoRR 2019
- Readers: Everyone
SOM-VAE: Interpretable Discrete Representation Learning on Time Series
Vincent Fortuin, Matthias Hüser, Francesco Locatello, Heiko Strathmann, Gunnar Rätsch
- 2019 (modified: 24 Apr 2023)
- ICLR (Poster) 2019
- Readers: Everyone
Predicting circulatory system deterioration in intensive care unit patients
Stephanie L. Hyland, Matthias Hüser, Xinrui Lyu, Martin Faltys, Tobias Merz, Gunnar Rätsch
- 2018 (modified: 16 Jul 2019)
- AIH@IJCAI 2018
- Readers: Everyone
A Machine Learning-based Early Warning System for Circulatory System Deterioration in Intensive Care Unit Patients
Stephanie L. Hyland, Martin Faltys, Matthias Hüser, Xinrui Lyu, Cristóbal Esteban, Gunnar Rätsch, Tobias Merz
- 2018 (modified: 10 May 2021)
- AMIA 2018
- Readers: Everyone
Deep Self-Organization: Interpretable Discrete Representation Learning on Time Series
Vincent Fortuin, Matthias Hüser, Francesco Locatello, Heiko Strathmann, Gunnar Rätsch
- 2018 (modified: 24 Apr 2023)
- CoRR 2018
- Readers: Everyone
Improving Clinical Predictions through Unsupervised Time Series Representation Learning
Xinrui Lyu, Matthias Hüser, Stephanie L. Hyland, George Zerveas, Gunnar Rätsch
- 2018 (modified: 20 May 2025)
- CoRR 2018
- Readers: Everyone

Co-Authors

View all 29 co-authors