Mario Wieser

According to our database, Mario Wieser authored at least 16 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Learning Channel Importance for High Content Imaging with Interpretable Deep Input Channel Mixing.

Daniel Siegismund, Mario Wieser, Stephan Heyse, Stephan Steigele

Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

2022

Vision Transformers Show Improved Robustness in High-Content Image Analysis.

Mario Wieser, Daniel Siegismund, Stephan Heyse, Stephan Steigele

Proceedings of the 9th Swiss Conference on Data Science, 2022

Self-Supervised Representation Learning for High-Content Screening.

Daniel Siegismund, Mario Wieser, Stephan Heyse, Stephan Steigele

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

2021

Learning Extremal Representations with Deep Archetypal Analysis.

Sebastian Mathias Keller, Maxim Samarin, Fabricio Arend Torres, Mario Wieser, Volker Roth

Int. J. Comput. Vis., 2021

Learning Conditional Invariance Through Cycle Consistency.

Maxim Samarin, Vitali Nesterov, Mario Wieser, Aleksander Wieczorek, Sonali Parbhoo, Volker Roth

Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

2020

Information Bottleneck for Estimating Treatment Effects with Systematically Missing Covariates.

Sonali Parbhoo, Mario Wieser, Aleksander Wieczorek, Volker Roth

Entropy, 2020

3DMolNet: A Generative Network for Molecular Structures.

Vitali Nesterov, Mario Wieser, Volker Roth

CoRR, 2020

Inverse Learning of Symmetry Transformations.

Mario Wieser, Sonali Parbhoo, Aleksander Wieczorek, Volker Roth

CoRR, 2020

Inverse Learning of Symmetries.

Mario Wieser, Sonali Parbhoo, Aleksander Wieczorek, Volker Roth

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Transfer Learning from Well-Curated to Less-Resourced Populations with HIV.

Sonali Parbhoo, Mario Wieser, Volker Roth, Finale Doshi-Velez

Proceedings of the Machine Learning for Healthcare Conference, 2020

2019

Deep Archetypal Analysis.

Sebastian Mathias Keller, Maxim Samarin, Mario Wieser, Volker Roth

Proceedings of the Pattern Recognition, 2019

Greedy Structure Learning of Hierarchical Compositional Models.

Adam Kortylewski, Aleksander Wieczorek, Mario Wieser, Clemens Blumer, Sonali Parbhoo, Andreas Morel-Forster, Volker Roth, Thomas Vetter

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Estimating Causal Effects With Partial Covariates For Clinical Interpretability.

Sonali Parbhoo, Mario Wieser, Volker Roth

CoRR, 2018

Informed MCMC with Bayesian Neural Networks for Facial Image Analysis.

Adam Kortylewski, Mario Wieser, Andreas Morel-Forster, Aleksander Wieczorek, Sonali Parbhoo, Volker Roth, Thomas Vetter

CoRR, 2018

Causal Deep Information Bottleneck.

Sonali Parbhoo, Mario Wieser, Volker Roth

CoRR, 2018

Learning Sparse Latent Representations with the Deep Copula Information Bottleneck.

Aleksander Wieczorek, Mario Wieser, Damian Murezzan, Volker Roth

Proceedings of the 6th International Conference on Learning Representations, 2018