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Volker Roth

University of Basel

3DMolNet: A Generative Network for Molecular Structures


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


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On the Empirical Neural Tangent Kernel of Standard Finite-Width Convolutional Neural Network Architectures


Jun 24, 2020
Maxim Samarin, Volker Roth, David Belius

* 10 pages 

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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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On the Difference Between the Information Bottleneck and the Deep Information Bottleneck


Dec 31, 2019
Aleksander Wieczorek, Volker Roth


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Optimizing for Interpretability in Deep Neural Networks with Tree Regularization


Aug 14, 2019
Mike Wu, Sonali Parbhoo, Michael C. Hughes, Volker Roth, Finale Doshi-Velez

* arXiv admin note: substantial text overlap with arXiv:1908.04494, arXiv:1711.06178 

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Regional Tree Regularization for Interpretability in Black Box Models


Aug 13, 2019
Mike Wu, Sonali Parbhoo, Michael Hughes, Ryan Kindle, Leo Celi, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez


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Deep Archetypal Analysis


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


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Computational EEG in Personalized Medicine: A study in Parkinson's Disease


Dec 02, 2018
Sebastian Mathias Keller, Maxim Samarin, Antonia Meyer, Vitalii Kosak, Ute Gschwandtner, Peter Fuhr, Volker Roth

* Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:811.07216 

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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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Beyond Sparsity: Tree Regularization of Deep Models for Interpretability


Nov 16, 2017
Mike Wu, Michael C. Hughes, Sonali Parbhoo, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez

* To appear in AAAI 2018. Contains 9-page main paper and appendix with supplementary material 

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Causal Compression


Nov 01, 2016
Aleksander Wieczorek, Volker Roth


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Bayesian Markov Blanket Estimation


Oct 06, 2015
Dinu Kaufmann, Sonali Parbhoo, Aleksander Wieczorek, Sebastian Keller, David Adametz, Volker Roth

* 16 pages, 5 figures 

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Probabilistic Clustering of Time-Evolving Distance Data


Apr 14, 2015
Julia E. Vogt, Marius Kloft, Stefan Stark, Sudhir S. Raman, Sandhya Prabhakaran, Volker Roth, Gunnar Rätsch


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Copula Mixture Model for Dependency-seeking Clustering


Jun 27, 2012
Melanie Rey, Volker Roth

* Appears in Proceedings of the 29th International Conference on Machine Learning (ICML 2012) 

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A Complete Analysis of the l_1,p Group-Lasso


Jun 18, 2012
Julia Vogt, Volker Roth

* ICML2012 

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