Mario Wieser

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 21

Top Topics

Metropolis Hastings Algorithm

Information Bottleneck

Structure Learning

Top Venues

Publications

Daniel Siegismund, Mario Wieser, Stephan Heyse, Stephan Steigele
Learning Channel Importance for High Content Imaging with Interpretable Deep Input Channel Mixing. CoRR (2023)
Daniel Siegismund, Mario Wieser, Stephan Heyse, Stephan Steigele
Learning Channel Importance for High Content Imaging with Interpretable Deep Input Channel Mixing. DAGM (2023)
Daniel Siegismund, Mario Wieser, Stephan Heyse, Stephan Steigele
Self-Supervised Representation Learning for High-Content Screening. MIDL (2022)
Mario Wieser, Daniel Siegismund, Stephan Heyse, Stephan Steigele
Vision Transformers Show Improved Robustness in High-Content Image Analysis. SDS (2022)
Maxim Samarin, Vitali Nesterov, Mario Wieser, Aleksander Wieczorek, Sonali Parbhoo, Volker Roth
Learning Conditional Invariance through Cycle Consistency. CoRR (2021)
Maxim Samarin, Vitali Nesterov, Mario Wieser, Aleksander Wieczorek, Sonali Parbhoo, Volker Roth
Learning Conditional Invariance Through Cycle Consistency. GCPR (2021)
Sebastian Mathias Keller, Maxim Samarin, Fabricio Arend Torres, Mario Wieser, Volker Roth
Learning Extremal Representations with Deep Archetypal Analysis. Int. J. Comput. Vis. 129 (4) (2021)
Vitali Nesterov, Mario Wieser, Volker Roth
3DMolNet: A Generative Network for Molecular Structures. CoRR (2020)
Sebastian Mathias Keller, Maxim Samarin, Fabricio Arend Torres, Mario Wieser, Volker Roth
Learning Extremal Representations with Deep Archetypal Analysis. CoRR (2020)
Sonali Parbhoo, Mario Wieser, Aleksander Wieczorek, Volker Roth
Information Bottleneck for Estimating Treatment Effects with Systematically Missing Covariates. Entropy 22 (4) (2020)
Sonali Parbhoo, Mario Wieser, Volker Roth, Finale Doshi-Velez
Transfer Learning from Well-Curated to Less-Resourced Populations with HIV. MLHC (2020)
Mario Wieser, Sonali Parbhoo, Aleksander Wieczorek, Volker Roth
Inverse Learning of Symmetries. NeurIPS (2020)
Mario Wieser, Sonali Parbhoo, Aleksander Wieczorek, Volker Roth
Inverse Learning of Symmetry Transformations. CoRR (2020)
Sebastian Mathias Keller, Maxim Samarin, Mario Wieser, Volker Roth
Deep Archetypal Analysis. GCPR (2019)
Adam Kortylewski, Aleksander Wieczorek, Mario Wieser, Clemens Blumer, Sonali Parbhoo, Andreas Morel-Forster, Volker Roth, Thomas Vetter
Greedy Structure Learning of Hierarchical Compositional Models. CVPR (2019)
Sebastian Mathias Keller, Maxim Samarin, Mario Wieser, Volker Roth
Deep Archetypal Analysis. CoRR (2019)
Aleksander Wieczorek, Mario Wieser, Damian Murezzan, Volker Roth
Learning Sparse Latent Representations with the Deep Copula Information Bottleneck. ICLR (Poster) (2018)
Adam Kortylewski, Mario Wieser, Andreas Morel-Forster, Aleksander Wieczorek, Sonali Parbhoo, Volker Roth, Thomas Vetter
Informed MCMC with Bayesian Neural Networks for Facial Image Analysis. CoRR (2018)
Sonali Parbhoo, Mario Wieser, Volker Roth
Causal Deep Information Bottleneck. CoRR (2018)
Sonali Parbhoo, Mario Wieser, Volker Roth
Estimating Causal Effects With Partial Covariates For Clinical Interpretability. CoRR (2018)
Aleksander Wieczorek, Mario Wieser, Damian Murezzan, Volker Roth
Learning Sparse Latent Representations with the Deep Copula Information Bottleneck. CoRR (2018)