Browse by Basel Contributors ID

Article

Keller, Sebastian Mathias and Samarin, Maxim and Arend Torres, Fabricio and Wieser, Mario and Roth, Volker. (2021) Learning Extremal Representations with Deep Archetypal Analysis. International Journal of Computer Vision, 129 (4). pp. 805-820.

Parbhoo, Sonali and Wieser, Mario and Wieczorek, Aleksander and Roth, Volker. (2020) Information Bottleneck for Estimating Treatment Effects with Systematically Missing Covariates. Entropy, 22 (4). p. 389.

Thorball, Christian W. and Borghesi, Alessandro and Bachmann, Nadine and Von Siebenthal, Chantal and Vongrad, Valentina and Turk, Teja and Neumann, Kathrin and Beerenwinkel, Niko and Bogojeska, Jasmina and Roth, Volker and Kok, Yik Lim and Parbhoo, Sonali and Wieser, Mario and Böni, Jürg and Perreau, Matthieu and Klimkait, Thomas and Yerly, Sabine and Battegay, Manuel and Rauch, Andri and Schmid, Patrick and Bernasconi, Enos and Cavassini, Matthias and Kouyos, Roger D. and Günthard, Huldrych F. and Metzner, Karin J. and Fellay, Jacques and Swiss HIV Cohort Study, . (2020) Host Genomics of the HIV-1 Reservoir Size and Its Decay Rate During Suppressive Antiretroviral Treatment. Journal of Acquired Immune Deficiency Syndromes, 85 (4). pp. 517-524.

Conference or Workshop Item

Wieser, Mario and Parbhoo, Sonali and Wieczorek, Aleksander and Roth, Volker. (2020) Inverse Learning of Symmetries. In: Advances in Neural Information Processing Systems 33 (NeurIPS 2020). pp. 1-12.

Parbhoo, Sonali and Wieser, Mario and Roth, Volker and Doshi-Velez, Finale. (2020) Transfer Learning from Well-Curated to Less-Resourced Populations with HIV. In: Proceedings of the 5th Machine Learning for Healthcare Conference, 126. pp. 589-609.

Keller, Sebastian Mathias and Samarin, Maxim and Wieser, Mario and Roth, Volker. (2019) Deep Archetypal Analysis. In: Pattern Recognition. Cham, pp. 171-185.

Kortylewski, Adam and Wieczorek, Aleksander and Wieser, Mario and Blumer, Clemens and Parbhoo, Sonali and Morel-Forster, Andreas and Roth, Volker and Vetter, Thomas. (2019) Greedy Structure Learning of Hierarchical Compositional Models. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 11612-11621.

Kortylewski, Adam and Wieser, Mario and Morel-Forster, Andreas and Wieczorek, Aleksander and Parbhoo, Sonali and Roth, Volker and Vetter, Thomas. (2018) Informed MCMC with Bayesian Neural Networks for Facial Image Analysis. In: NeurIPS 2018, Bayesian Deep Learning Workshop. pp. 1-4.

Wieser, Mario and Wieczorek, Aleksander and Murezzan, Damian and Roth, Volker. (2018) Learning Sparse Latent Representations with the Deep Copula Information Bottleneck. In: International Conference on Learning Representations.

Thesis

Wieser, Mario. Learning Invariant Representations for Deep Latent Variable Models. 2020, Doctoral Thesis, University of Basel, Faculty of Science.