Mario Wieser

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Volker RothProfessor of Computer Science, University of BaselVerified email at unibas.ch
Sonali ParbhooAssistant Professor, Imperial College LondonVerified email at imperial.ac.uk
Aleksander WieczorekUniversity of BaselVerified email at unibas.ch
Maxim SamarinPhD Candidate in Machine Learning, University of BaselVerified email at unibas.ch
Adam KortylewskiResearch Group Leader, University of Freiburg and Max Planck Institute for InformaticsVerified email at mpi-inf.mpg.de
Thomas VetterProfessor in Computer Science, University of Basel Verified email at unibas.ch
Sebastian Mathias KellerUniversity of BaselVerified email at unibas.ch
Andreas Morel-ForsterPostdoctoral Researcher, Department for Mathematics and Computer Science, University of BaselVerified email at unibas.ch
Fabricio Arend TorresPhD Student, University of BaselVerified email at unibas.ch
Finale Doshi-VelezProfessor, HarvardVerified email at seas.harvard.edu
Christof WittwerFraunhofer ISEVerified email at ise.fraunhofer.de
Jasmina BogojeskaZurich University of Applied Sciences (ZHAW)Verified email at zhaw.ch
Huldrych F. GünthardProfessor for Infectious Diseases, University Hospital ZurichVerified email at usz.ch
Niko BeerenwinkelProfessor of Computational Biology, ETH ZurichVerified email at bsse.ethz.ch
Jacques FellayEPFL / CHUVVerified email at epfl.ch
Roger D. KouyosUniversity of Zurich; University Hospital ZurichVerified email at uzh.ch

Mario Wieser

Genedata AG

Verified email at genedata.com - Homepage

Machine Learning Computer Vision Deep Learning Deep Generative Models


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Determinants of HIV-1 reservoir size and long-term dynamics during suppressive ART N Bachmann, C Von Siebenthal, V Vongrad, T Turk, K Neumann, ... Nature communications 10 (1), 3193, 2019	111	2019
Information bottleneck for estimating treatment effects with systematically missing covariates S Parbhoo, M Wieser, A Wieczorek, V Roth Entropy 22 (4), 389, 2020	27*	2020
Learning sparse latent representations with the deep copula information bottleneck A Wieczorek, M Wieser, D Murezzan, V Roth International Conference on Learning Representations (ICLR), 2018	26	2018
Learning extremal representations with deep archetypal analysis SM Keller, M Samarin, FA Torres, M Wieser, V Roth International Journal of Computer Vision (IJCV) 129 (4), 805-820, 2021	18	2021
Deep Archetypal Analysis SM Keller, M Samarin, M Wieser, V Roth German Conference on Pattern Recognition, 2019	17	2019
3DMolNet: a generative network for molecular structures V Nesterov, M Wieser, V Roth arXiv preprint arXiv:2010.06477, 2020	14	2020
Greedy Structure Learning of Hierarchical Compositional Models A Kortylewski, A Wieczorek, M Wieser, C Blumer, S Parbhoo, ... IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019	12*	2019
Informed MCMC with Bayesian Neural Networks for Facial Image Analysis A Kortylewski, M Wieser, A Morel-Forster, A Wieczorek, S Parbhoo, ... NeurIPS Bayesian Deep Learning Workshop, 2018	10	2018
Transfer Learning from Well-Curated to Less-Resourced Populations with HIV S Parbhoo, M Wieser, V Roth, F Doshi-Velez Machine Learning for Healthcare (MLHC), 2020	9	2020
Host genomics of the HIV-1 reservoir size and its decay rate during suppressive antiretroviral treatment CW Thorball, A Borghesi, N Bachmann, C Von Siebenthal, V Vongrad, ... JAIDS Journal of Acquired Immune Deficiency Syndromes 85 (4), 517-524, 2020	6	2020
Inverse Learning of Symmetries M Wieser, S Parbhoo, A Wieczorek, V Roth Advances in Neural Information Processing Systems 33, 2020	6	2020
Learning Conditional Invariance Through Cycle Consistency M Samarin, V Nesterov, M Wieser, A Wieczorek, S Parbhoo, V Roth Pattern Recognition: 43rd DAGM German Conference, DAGM GCPR 2021, Bonn …, 2022	1	2022
Self-Supervised Representation Learning for High-Content Screening D Siegismund, M Wieser, S Heyse, S Steigele Medical Imaging with Deep Learning (MIDL), 2022	1	2022
Learning invariant representations for deep latent variable models M Wieser University_of_Basel, 2020	1	2020
Vision Transformers Show Improved Robustness in High-Content Image Analysis M Wieser, D Siegismund, S Heyse, S Steigele 2022 9th Swiss Conference on Data Science (SDS), 71-72, 2022		2022
Estimating Causal Effects With Partial Covariates For Clinical Interpretability S Parbhoo, M Wieser, V Roth NeurIPS Machine Learning for Health Workshop (ML4H), 2018		2018
A modular prototyping hard-and software platform for faster development of intelligent charging infrastructures of electric vehicles J Clement, M Wieser, P Benoit, R Kohrs, C Wittwer 4th International Conference on Power Engineering, Energy and Electrical …, 2013		2013

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