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Patrick Schwab

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FED-CD: Federated Causal Discovery from Interventional and Observational Data

Nov 07, 2022
Amin Abyaneh, Nino Scherrer, Patrick Schwab, Stefan Bauer, Bernhard Schölkopf, Arash Mehrjou

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CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data

Oct 31, 2022
Mathieu Chevalley, Yusuf Roohani, Arash Mehrjou, Jure Leskovec, Patrick Schwab

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Federated Learning in Multi-Center Critical Care Research: A Systematic Case Study using the eICU Database

Apr 20, 2022
Arash Mehrjou, Ashkan Soleymani, Annika Buchholz, Jürgen Hetzel, Patrick Schwab, Stefan Bauer

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Conditional Generation of Medical Time Series for Extrapolation to Underrepresented Populations

Jan 20, 2022
Simon Bing, Andrea Dittadi, Stefan Bauer, Patrick Schwab

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GeneDisco: A Benchmark for Experimental Design in Drug Discovery

Oct 22, 2021
Arash Mehrjou, Ashkan Soleymani, Andrew Jesson, Pascal Notin, Yarin Gal, Stefan Bauer, Patrick Schwab

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Learning Neural Causal Models with Active Interventions

Sep 06, 2021
Nino Scherrer, Olexa Bilaniuk, Yashas Annadani, Anirudh Goyal, Patrick Schwab, Bernhard Schölkopf, Michael C. Mozer, Yoshua Bengio, Stefan Bauer, Nan Rosemary Ke

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NCoRE: Neural Counterfactual Representation Learning for Combinations of Treatments

Mar 20, 2021
Sonali Parbhoo, Stefan Bauer, Patrick Schwab

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Overcoming Barriers to Data Sharing with Medical Image Generation: A Comprehensive Evaluation

Nov 29, 2020
August DuMont Schütte, Jürgen Hetzel, Sergios Gatidis, Tobias Hepp, Benedikt Dietz, Stefan Bauer, Patrick Schwab

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Real-time Prediction of COVID-19 related Mortality using Electronic Health Records

Aug 31, 2020
Patrick Schwab, Arash Mehrjou, Sonali Parbhoo, Leo Anthony Celi, Jürgen Hetzel, Markus Hofer, Bernhard Schölkopf, Stefan Bauer

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predCOVID-19: A Systematic Study of Clinical Predictive Models for Coronavirus Disease 2019

May 17, 2020
Patrick Schwab, August DuMont Schütte, Benedikt Dietz, Stefan Bauer

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