Patrick Schwab
Patrick Schwab
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Cited by
Cited by
CXPlain: Causal Explanations for Model Interpretation under Uncertainty
P Schwab, W Karlen
Advances in Neural Information Processing Systems (NeurIPS), 2019
Clinical Predictive Models for COVID-19: Systematic Study
P Schwab, ADM Schütte, B Dietz, S Bauer
Journal of Medical Internet Research 22 (10), e21439, 2020
Learning Counterfactual Representations for Estimating Individual Dose-Response Curves
P Schwab, L Linhardt, S Bauer, JM Buhmann, W Karlen
AAAI Conference on Artificial Intelligence, 2020
Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural Networks
P Schwab, L Linhardt, W Karlen
arXiv preprint arXiv:1810.00656, 2018
Beat by Beat: Classifying Cardiac Arrhythmias with Recurrent Neural Networks
P Schwab, GC Scebba, J Zhang, M Delai, W Karlen
Computing in Cardiology, 2017
Real-time Prediction of COVID-19 related Mortality using Electronic Health Records
P Schwab, A Mehrjou, S Parbhoo, LA Celi, J Hetzel, M Hofer, B Schölkopf, ...
Nature Communications 12 (1), 1-16, 2021
Granger-causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks
P Schwab, D Miladinovic, W Karlen
AAAI Conference on Artificial Intelligence, 2019
PhoneMD: Learning to Diagnose Parkinson's Disease from Smartphone Data
P Schwab, W Karlen
AAAI Conference on Artificial Intelligence, 2019
Global healthcare fairness: We should be sharing more, not less, data
KP Seastedt, P Schwab, Z O’Brien, E Wakida, K Herrera, PGF Marcelo, ...
PLOS Digital Health 1 (10), e0000102, 2022
Overcoming barriers to data sharing with medical image generation: a comprehensive evaluation
A DuMont Schütte, J Hetzel, S Gatidis, T Hepp, B Dietz, S Bauer, ...
npj Digital Medicine 4 (1), 1-14, 2021
Crowdsourcing Digital Health Measures to Predict Parkinson’s Disease Severity: the Parkinson’s Disease Digital Biomarker DREAM Challenge
SK Sieberts, J Schaff, M Duda, BÁ Pataki, M Sun, P Snyder, JF Daneault, ...
npj Digital Medicine 4 (1), 1-12, 2021
Learning Neural Causal Models with Active Interventions
N Scherrer, O Bilaniuk, Y Annadani, A Goyal, P Schwab, B Schölkopf, ...
arXiv preprint arXiv:2109.02429, 2021
Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care
P Schwab, E Keller, C Muroi, DJ Mack, C Strässle, W Karlen
International Conference on Machine Learning (ICML), 2018
A Deep Learning Approach to Diagnosing Multiple Sclerosis from Smartphone Data
P Schwab, W Karlen
IEEE Journal for Biomedical Health Informatics, 2020
Automated False Alarm Reduction in a Real-Life Intensive Care Setting Using Motion Detection
C Muroi, S Meier, V De Luca, DJ Mack, C Strässle, P Schwab, W Karlen, ...
Neurocritical Care, 1-8, 2019
GeneDisco: A Benchmark for Experimental Design in Drug Discovery
A Mehrjou, A Soleymani, A Jesson, P Notin, Y Gal, S Bauer, P Schwab
International Conference on Learning Representations (ICLR-22), 2022
Capturing the Essence: Towards the Automated Generation of Transparent Behavior Models
P Schwab, H Hlavacs
AAAI Conference on Artificial Intelligence and Interactive Digital …, 2015
CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data
M Chevalley, Y Roohani, A Mehrjou, J Leskovec, P Schwab
arXiv preprint arXiv:2210.17283, 2022
Diabetes detection from whole-body magnetic resonance imaging using deep learning
B Dietz, J Machann, V Agrawal, M Heni, P Schwab, J Dienes, S Reichert, ...
JCI Insight, 2021
NCoRE: Neural Counterfactual Representation Learning for Combinations of Treatments
S Parbhoo, S Bauer, P Schwab
arXiv preprint arXiv:2103.11175, 2021
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