default search action
Patrick Schwab
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [i24]Dimitris Spathis, Aaqib Saeed, Ali Etemad, Sana Tonekaboni, Stefanos Laskaridis, Shohreh Deldari, Chi Ian Tang, Patrick Schwab, Shyam Tailor:
A collection of the accepted papers for the Human-Centric Representation Learning workshop at AAAI 2024. CoRR abs/2403.10561 (2024) - [i23]Vinod Kumar Chauhan
, Lei A. Clifton, Achille Salaün, Huiqi Yvonne Lu
Sample Selection Bias in Machine Learning for Healthcare. CoRR abs/2405.07841 (2024) - [i22]Mathieu Chevalley, Patrick Schwab, Arash Mehrjou:
Deriving Causal Order from Single-Variable Interventions: Guarantees & Algorithm. CoRR abs/2405.18314 (2024) - 2023
- [c10]Clare Lyle, Arash Mehrjou, Pascal Notin, Andrew Jesson, Stefan Bauer, Yarin Gal, Patrick Schwab:
DiscoBAX: Discovery of optimal intervention sets in genomic experiment design. ICML 2023: 23170-23189 - [i21]Rahil Mehrizi, Arash Mehrjou, Maryana Alegro, Yi Zhao, Benedetta Carbone, Carl Fishwick, Johanna Vappiani, Jing Bi, Siobhan Sanford, Hakan Keles, Marcus Bantscheff, Cuong Nguyen, Patrick Schwab:
Multi-omics Prediction from High-content Cellular Imaging with Deep Learning. CoRR abs/2306.09391 (2023) - [i20]Mathieu Chevalley, Jacob Sackett-Sanders, Yusuf Roohani, Pascal Notin, Artemy Bakulin, Dariusz Brzezinski, Kaiwen Deng, Yuanfang Guan, Justin Hong, Michael Ibrahim, Wojciech Kotlowski, Marcin Kowiel, Panagiotis Misiakos, Achille Nazaret, Markus Püschel, Chris Wendler, Arash Mehrjou, Patrick Schwab:
The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data. CoRR abs/2308.15395 (2023) - [i19]Clare Lyle, Arash Mehrjou, Pascal Notin, Andrew Jesson, Stefan Bauer, Yarin Gal, Patrick Schwab:
DiscoBAX: Discovery of Optimal Intervention Sets in Genomic Experiment Design. CoRR abs/2312.04064 (2023) - 2022
- [c9]Arash Mehrjou, Ashkan Soleymani, Andrew Jesson, Pascal Notin, Yarin Gal, Stefan Bauer, Patrick Schwab:
GeneDisco: A Benchmark for Experimental Design in Drug Discovery. ICLR 2022 - [i18]Simon Bing, Andrea Dittadi, Stefan Bauer, Patrick Schwab:
Conditional Generation of Medical Time Series for Extrapolation to Underrepresented Populations. CoRR abs/2201.08186 (2022) - [i17]Arash Mehrjou, Ashkan Soleymani, Annika Buchholz, Jürgen Hetzel, Patrick Schwab, Stefan Bauer:
Federated Learning in Multi-Center Critical Care Research: A Systematic Case Study using the eICU Database. CoRR abs/2204.09328 (2022) - [i16]Mathieu Chevalley, Yusuf Roohani, Arash Mehrjou, Jure Leskovec, Patrick Schwab:
CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data. CoRR abs/2210.17283 (2022) - [i15]Amin Abyaneh, Nino Scherrer, Patrick Schwab, Stefan Bauer, Bernhard Schölkopf, Arash Mehrjou:
FED-CD: Federated Causal Discovery from Interventional and Observational Data. CoRR abs/2211.03846 (2022) - 2021
- [j3]August DuMont Schütte
Overcoming barriers to data sharing with medical image generation: a comprehensive evaluation. npj Digit. Medicine 4 (2021) - [j2]Solveig K. Sieberts
Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge. npj Digit. Medicine 4 (2021) - [j1]Patrick Schwab
A Deep Learning Approach to Diagnosing Multiple Sclerosis from Smartphone Data. IEEE J. Biomed. Health Informatics 25(4): 1284-1291 (2021) - [i14]Sonali Parbhoo, Stefan Bauer, Patrick Schwab:
NCoRE: Neural Counterfactual Representation Learning for Combinations of Treatments. CoRR abs/2103.11175 (2021) - [i13]Nino Scherrer, Olexa Bilaniuk, Yashas Annadani, Anirudh Goyal, Patrick Schwab, Bernhard Schölkopf, Michael C. Mozer, Yoshua Bengio, Stefan Bauer, Nan Rosemary Ke:
Learning Neural Causal Models with Active Interventions. CoRR abs/2109.02429 (2021) - [i12]Arash Mehrjou, Ashkan Soleymani, Andrew Jesson, Pascal Notin, Yarin Gal, Stefan Bauer, Patrick Schwab:
GeneDisco: A Benchmark for Experimental Design in Drug Discovery. CoRR abs/2110.11875 (2021) - 2020
- [c8]Patrick Schwab, Lorenz Linhardt
Learning Counterfactual Representations for Estimating Individual Dose-Response Curves. AAAI 2020: 5612-5619 - [i11]Patrick Schwab, Walter Karlen:
A Deep Learning Approach to Diagnosing Multiple Sclerosis from Smartphone Data. CoRR abs/2001.09748 (2020) - [i10]Patrick Schwab, August DuMont Schütte, Benedikt Dietz, Stefan Bauer:
predCOVID-19: A Systematic Study of Clinical Predictive Models for Coronavirus Disease 2019. CoRR abs/2005.08302 (2020) - [i9]Patrick Schwab, Arash Mehrjou, Sonali Parbhoo, Leo Anthony Celi, Jürgen Hetzel, Markus Hofer, Bernhard Schölkopf, Stefan Bauer:
Real-time Prediction of COVID-19 related Mortality using Electronic Health Records. CoRR abs/2008.13412 (2020) - [i8]August DuMont Schütte, Jürgen Hetzel, Sergios Gatidis, Tobias Hepp, Benedikt Dietz, Stefan Bauer, Patrick Schwab:
Overcoming Barriers to Data Sharing with Medical Image Generation: A Comprehensive Evaluation. CoRR abs/2012.03769 (2020)
2010 – 2019
- 2019
- [c7]Patrick Schwab, Walter Karlen
PhoneMD: Learning to Diagnose Parkinson's Disease from Smartphone Data. AAAI 2019: 1118-1125 - [c6]Patrick Schwab, Djordje Miladinovic, Walter Karlen
Granger-Causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks. AAAI 2019: 4846-4853 - [c5]Patrick Schwab, Walter Karlen:
CXPlain: Causal Explanations for Model Interpretation under Uncertainty. NeurIPS 2019: 10220-10230 - [i7]Patrick Schwab, Lorenz Linhardt
Learning Counterfactual Representations for Estimating Individual Dose-Response Curves. CoRR abs/1902.00981 (2019) - [i6]Patrick Schwab, Walter Karlen:
CXPlain: Causal Explanations for Model Interpretation under Uncertainty. CoRR abs/1910.12336 (2019) - 2018
- [c4]Patrick Schwab, Emanuela Keller, Carl Muroi, David J. Mack, Christian Strässle, Walter Karlen:
Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care. ICML 2018: 4525-4534 - [i5]Patrick Schwab, Walter Karlen:
Granger-causal Attentive Mixtures of Experts. CoRR abs/1802.02195 (2018) - [i4]Patrick Schwab, Emanuela Keller, Carl Muroi, David J. Mack, Christian Strässle, Walter Karlen:
Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care. CoRR abs/1802.05027 (2018) - [i3]Patrick Schwab, Lorenz Linhardt
Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural Networks. CoRR abs/1810.00656 (2018) - [i2]Patrick Schwab, Walter Karlen:
PhoneMD: Learning to Diagnose Parkinson's Disease from Smartphone Data. CoRR abs/1810.01485 (2018) - 2017
- [c3]Patrick Schwab, Gaetano Claudio Scebba
Beat by Beat: Classifying Cardiac Arrhythmias with Recurrent Neural Networks. CinC 2017 - [i1]Patrick Schwab, Gaetano Scebba, Jia Zhang, Marco Delai, Walter Karlen:
Beat by Beat: Classifying Cardiac Arrhythmias with Recurrent Neural Networks. CoRR abs/1710.06319 (2017) - 2015
- [c2]Patrick Schwab, Helmut Hlavacs:
Capturing the Essence: Towards the Automated Generation of Transparent Behavior Models. AIIDE 2015: 184-190 - 2014
- [c1]Maia Zaharieva, Patrick Schwab:
A Unified Framework for Retrieving Diverse Social Images. MediaEval 2014
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-04 00:25 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: