Παρακολούθηση
Mario Wieser
Mario Wieser
Genedata AG
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα genedata.com - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
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
1762019
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
37*2018
3DMolNet: a generative network for molecular structures
V Nesterov, M Wieser, V Roth
arXiv preprint arXiv:2010.06477, 2020
332020
Information bottleneck for estimating treatment effects with systematically missing covariates
S Parbhoo, M Wieser, A Wieczorek, V Roth
Entropy 22 (4), 389, 2020
32*2020
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
312021
Deep Archetypal Analysis
SM Keller, M Samarin, M Wieser, V Roth
German Conference on Pattern Recognition, 2019
252019
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
142018
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
132020
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
13*2019
Inverse Learning of Symmetries
M Wieser, S Parbhoo, A Wieczorek, V Roth
Advances in Neural Information Processing Systems 33, 2020
8*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
72020
Self-Supervised Representation Learning for High-Content Screening
D Siegismund*, M Wieser*, S Heyse, S Steigele
Medical Imaging with Deep Learning (MIDL), 2022
52022
Determinants of HIV-1 reservoir size and long-term dynamics during suppressive ART. Nat Commun 10: 3193
N Bachmann, C von Siebenthal, V Vongrad, T Turk, K Neumann, ...
52019
Learning Channel Importance for High Content Imaging with Interpretable Deep Input Channel Mixing
D Siegismund, M Wieser, S Heyse, S Steigele
German Conference on Pattern Recognition, 2023
22023
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
22022
Learning conditional invariance through cycle consistency
M Samarin, V Nesterov, M Wieser, A Wieczorek, S Parbhoo, V Roth
DAGM German Conference on Pattern Recognition, 376-391, 2021
22021
Learning invariant representations for deep latent variable models
M Wieser
University_of_Basel, 2020
12020
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
12013
PCIM: Learning Pixel Attributions via Pixel-wise Channel Isolation Mixing in High Content Imaging
D Siegismund, M Wieser, S Heyse, S Steigele
arXiv preprint arXiv:2412.02275, 2024
2024
Estimating Causal Effects With Partial Covariates For Clinical Interpretability
S Parbhoo, M Wieser, V Roth
NeurIPS Machine Learning for Health Workshop (ML4H), 2018
2018
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