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3DMolNet: A Generative Network for Molecular Structures


Oct 08, 2020
Vitali Nesterov, Mario Wieser, Volker Roth


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Inverse Learning of Symmetry Transformations


Feb 07, 2020
Mario Wieser, Sonali Parbhoo, Aleksander Wieczorek, Volker Roth


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Learning Extremal Representations with Deep Archetypal Analysis


Feb 03, 2020
Sebastian Mathias Keller, Maxim Samarin, Fabricio Arend Torres, Mario Wieser, Volker Roth

* Under review for publication at the International Journal of Computer Vision (IJCV). Extended version of our GCPR2019 paper "Deep Archetypal Analysis" 

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Deep Archetypal Analysis


Jan 30, 2019
Sebastian Mathias Keller, Maxim Samarin, Mario Wieser, Volker Roth


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Informed MCMC with Bayesian Neural Networks for Facial Image Analysis


Nov 29, 2018
Adam Kortylewski, Mario Wieser, Andreas Morel-Forster, Aleksander Wieczorek, Sonali Parbhoo, Volker Roth, Thomas Vetter

* Accepted to the Bayesian Deep Learning Workshop at NeurIPS 2018 

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Estimating Causal Effects With Partial Covariates For Clinical Interpretability


Nov 26, 2018
Sonali Parbhoo, Mario Wieser, Volker Roth

* Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:1811.07216 

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Cause-Effect Deep Information Bottleneck For Incomplete Covariates


Oct 08, 2018
Sonali Parbhoo, Mario Wieser, Volker Roth


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Learning Sparse Latent Representations with the Deep Copula Information Bottleneck


Apr 19, 2018
Aleksander Wieczorek, Mario Wieser, Damian Murezzan, Volker Roth

* Conference track - ICLR 2018 
* Published as a conference paper at ICLR 2018. Aleksander Wieczorek and Mario Wieser contributed equally to this work 

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