Mario Wieser

25 papers A* 2A 1Journal 14Unranked 8
YearRankTypeTitle / Venue / Authors
2025 A conf
Revisiting Deep Archetypal Analysis for Phenotype Discovery in High Content Imaging.
WACV
Mario Wieser, Daniel Siegismund, Stephan Steigele
2025 — conf
SubCellSAM: Zero-Shot (Sub-)Cellular Segmentation for Hit Validation in Drug Discovery.
DAGM GCPR
Jacob Hanimann, Daniel Siegismund, Mario Wieser, Stephan Steigele
2025 J jnl
subCellSAM: Zero-Shot (Sub-)Cellular Segmentation for Hit Validation in Drug Discovery.
CoRR
Jacob Hanimann, Daniel Siegismund, Mario Wieser, Stephan Steigele
2024 J jnl
PCIM: Learning Pixel Attributions via Pixel-wise Channel Isolation Mixing in High Content Imaging.
CoRR
Daniel Siegismund, Mario Wieser, Stephan Heyse, Stephan Steigele
2023 — conf
Learning Channel Importance for High Content Imaging with Interpretable Deep Input Channel Mixing.
DAGM
Daniel Siegismund, Mario Wieser, Stephan Heyse, Stephan Steigele
2023 J jnl
Learning Channel Importance for High Content Imaging with Interpretable Deep Input Channel Mixing.
CoRR
Daniel Siegismund, Mario Wieser, Stephan Heyse, Stephan Steigele
2022 — conf
Self-Supervised Representation Learning for High-Content Screening.
MIDL
Daniel Siegismund, Mario Wieser, Stephan Heyse, Stephan Steigele
2022 — conf
Vision Transformers Show Improved Robustness in High-Content Image Analysis.
SDS
Mario Wieser, Daniel Siegismund, Stephan Heyse, Stephan Steigele
2021 — conf
Learning Conditional Invariance Through Cycle Consistency.
GCPR
Maxim Samarin, Vitali Nesterov, Mario Wieser, Aleksander Wieczorek, Sonali Parbhoo, Volker Roth
2021 J jnl
Learning Conditional Invariance through Cycle Consistency.
CoRR
Maxim Samarin, Vitali Nesterov, Mario Wieser, Aleksander Wieczorek, Sonali Parbhoo, Volker Roth
2021 J jnl
Learning Extremal Representations with Deep Archetypal Analysis.
Int. J. Comput. Vis.
Sebastian Mathias Keller, Maxim Samarin, Fabricio Arend Torres, Mario Wieser, Volker Roth
2020 J jnl
3DMolNet: A Generative Network for Molecular Structures.
CoRR
Vitali Nesterov, Mario Wieser, Volker Roth
2020 J jnl
Information Bottleneck for Estimating Treatment Effects with Systematically Missing Covariates.
Entropy
Sonali Parbhoo, Mario Wieser, Aleksander Wieczorek, Volker Roth
2020 A* conf
Inverse Learning of Symmetries.
NeurIPS
Mario Wieser, Sonali Parbhoo, Aleksander Wieczorek, Volker Roth
2020 J jnl
Inverse Learning of Symmetry Transformations.
CoRR
Mario Wieser, Sonali Parbhoo, Aleksander Wieczorek, Volker Roth
2020 J jnl
Learning Extremal Representations with Deep Archetypal Analysis.
CoRR
Sebastian Mathias Keller, Maxim Samarin, Fabricio Arend Torres, Mario Wieser, Volker Roth
2020 — conf
Transfer Learning from Well-Curated to Less-Resourced Populations with HIV.
MLHC
Sonali Parbhoo, Mario Wieser, Volker Roth, Finale Doshi-Velez
2019 — conf
Deep Archetypal Analysis.
GCPR
Sebastian Mathias Keller, Maxim Samarin, Mario Wieser, Volker Roth
2019 J jnl
Deep Archetypal Analysis.
CoRR
Sebastian Mathias Keller, Maxim Samarin, Mario Wieser, Volker Roth
2019 A* conf
Greedy Structure Learning of Hierarchical Compositional Models.
CVPR
Adam Kortylewski, Aleksander Wieczorek, Mario Wieser, Clemens Blumer, Sonali Parbhoo, Andreas Morel-Forster, Volker Roth, Thomas Vetter
2018 J jnl
Causal Deep Information Bottleneck.
CoRR
Sonali Parbhoo, Mario Wieser, Volker Roth
2018 J jnl
Estimating Causal Effects With Partial Covariates For Clinical Interpretability.
CoRR
Sonali Parbhoo, Mario Wieser, Volker Roth
2018 J jnl
Informed MCMC with Bayesian Neural Networks for Facial Image Analysis.
CoRR
Adam Kortylewski, Mario Wieser, Andreas Morel-Forster, Aleksander Wieczorek, Sonali Parbhoo, Volker Roth, Thomas Vetter
2018 — conf
Learning Sparse Latent Representations with the Deep Copula Information Bottleneck.
ICLR (Poster)
Aleksander Wieczorek, Mario Wieser, Damian Murezzan, Volker Roth
2018 J jnl
Learning Sparse Latent Representations with the Deep Copula Information Bottleneck.
CoRR
Aleksander Wieczorek, Mario Wieser, Damian Murezzan, Volker Roth