Volker Roth

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 45

Top Venues

University of Bonn, Germany (PHD)

Education History

University of Bonn, Germany

PHD

Publications

Marcello Massimo Negri, Jonathan Aellen, Volker Roth
Injective Flows for parametric hypersurfaces. CoRR (2024)
Monika Nagy-Huber, Volker Roth
Physics-informed boundary integral networks (PIBI-Nets): A data-driven approach for solving partial differential equations. J. Comput. Sci. 81 (2024)
Fabricio Arend Torres, Marcello Massimo Negri, Marco Inversi, Jonathan Aellen, Volker Roth
Lagrangian Flow Networks for Conservation Laws. ICLR (2024)
Monika Nagy-Huber, Volker Roth
Physics-Informed Boundary Integral Networks (PIBI-Nets): A Data-Driven Approach for Solving Partial Differential Equations. CoRR (2023)
Fabricio Arend Torres, Marcello Massimo Negri, Marco Inversi, Jonathan Aellen, Volker Roth
Lagrangian Flow Networks for Conservation Laws. CoRR (2023)
Marcello Massimo Negri, Fabricio Arend Torres, Volker Roth
Conditional Matrix Flows for Gaussian Graphical Models. CoRR (2023)
Marcello Massimo Negri, Fabricio Arend Torres, Volker Roth
Conditional Matrix Flows for Gaussian Graphical Models. NeurIPS (2023)
Maxim Samarin, Volker Roth, David Belius
Feature learning and random features in standard finite-width convolutional neural networks: An empirical study. UAI (2022)
Vitali Nesterov, Fabricio Arend Torres, Monika Nagy-Huber, Maxim Samarin, Volker Roth
Learning Invariances with Generalised Input-Convex Neural Networks. CoRR (2022)
Fabricio Arend Torres, Marcello Massimo Negri, Monika Nagy-Huber, Maxim Samarin, Volker Roth
Truly Mesh-free Physics-Informed Neural Networks. CoRR (2022)
Maxim Samarin, Vitali Nesterov, Mario Wieser, Aleksander Wieczorek, Sonali Parbhoo, Volker Roth
Learning Conditional Invariance through Cycle Consistency. CoRR (2021)
Maxim Samarin, Vitali Nesterov, Mario Wieser, Aleksander Wieczorek, Sonali Parbhoo, Volker Roth
Learning Conditional Invariance Through Cycle Consistency. GCPR (2021)
Sebastian Mathias Keller, Maxim Samarin, Fabricio Arend Torres, Mario Wieser, Volker Roth
Learning Extremal Representations with Deep Archetypal Analysis. Int. J. Comput. Vis. 129 (4) (2021)
Mike Wu, Sonali Parbhoo, Michael C. Hughes, Volker Roth, Finale Doshi-Velez
Optimizing for Interpretability in Deep Neural Networks with Tree Regularization. J. Artif. Intell. Res. 72 (2021)
Vitali Nesterov, Mario Wieser, Volker Roth
3DMolNet: A Generative Network for Molecular Structures. CoRR (2020)
Sebastian Mathias Keller, Maxim Samarin, Fabricio Arend Torres, Mario Wieser, Volker Roth
Learning Extremal Representations with Deep Archetypal Analysis. CoRR (2020)
Sonali Parbhoo, Mario Wieser, Aleksander Wieczorek, Volker Roth
Information Bottleneck for Estimating Treatment Effects with Systematically Missing Covariates. Entropy 22 (4) (2020)
Maxim Samarin, Volker Roth, David Belius
On the Empirical Neural Tangent Kernel of Standard Finite-Width Convolutional Neural Network Architectures. CoRR (2020)
Maxim Samarin, Lauren Zweifel, Volker Roth, Christine Alewell
Identifying Soil Erosion Processes in Alpine Grasslands on Aerial Imagery with a U-Net Convolutional Neural Network. Remote. Sens. 12 (24) (2020)
Mike Wu, Sonali Parbhoo, Michael C. Hughes, Ryan Kindle, Leo A. Celi, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez
Regional Tree Regularization for Interpretability in Deep Neural Networks. AAAI (2020)
Aleksander Wieczorek, Volker Roth
On the Difference between the Information Bottleneck and the Deep Information Bottleneck. Entropy 22 (2) (2020)
Sonali Parbhoo, Mario Wieser, Volker Roth, Finale Doshi-Velez
Transfer Learning from Well-Curated to Less-Resourced Populations with HIV. MLHC (2020)
Mario Wieser, Sonali Parbhoo, Aleksander Wieczorek, Volker Roth
Inverse Learning of Symmetries. NeurIPS (2020)
Mario Wieser, Sonali Parbhoo, Aleksander Wieczorek, Volker Roth
Inverse Learning of Symmetry Transformations. CoRR (2020)
Sebastian Mathias Keller, Maxim Samarin, Mario Wieser, Volker Roth
Deep Archetypal Analysis. GCPR (2019)
Dmytro Shulga, Oleksii Morozov, Volker Roth, Felix Friedrich, Patrick R. Hunziker
Tensor B-Spline Numerical Methods for PDEs: a High-Performance Alternative to FEM. CoRR (2019)
Mike Wu, Sonali Parbhoo, Michael C. Hughes, Volker Roth, Finale Doshi-Velez
Optimizing for Interpretability in Deep Neural Networks with Tree Regularization. CoRR (2019)
Aleksander Wieczorek, Volker Roth
On the Difference Between the Information Bottleneck and the Deep Information Bottleneck. CoRR (2019)
Adam Kortylewski, Aleksander Wieczorek, Mario Wieser, Clemens Blumer, Sonali Parbhoo, Andreas Morel-Forster, Volker Roth, Thomas Vetter
Greedy Structure Learning of Hierarchical Compositional Models. CVPR (2019)
Sebastian Mathias Keller, Maxim Samarin, Mario Wieser, Volker Roth
Deep Archetypal Analysis. CoRR (2019)
Aleksander Wieczorek, Volker Roth
Information Theoretic Causal Effect Quantification. Entropy 21 (10) (2019)
Mike Wu, Sonali Parbhoo, Michael C. Hughes, Ryan Kindle, Leo A. Celi, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez
Regional Tree Regularization for Interpretability in Black Box Models. CoRR (2019)
Aleksander Wieczorek, Mario Wieser, Damian Murezzan, Volker Roth
Learning Sparse Latent Representations with the Deep Copula Information Bottleneck. ICLR (Poster) (2018)
Adam Kortylewski, Mario Wieser, Andreas Morel-Forster, Aleksander Wieczorek, Sonali Parbhoo, Volker Roth, Thomas Vetter
Informed MCMC with Bayesian Neural Networks for Facial Image Analysis. CoRR (2018)
Sonali Parbhoo, Mario Wieser, Volker Roth
Causal Deep Information Bottleneck. CoRR (2018)
Sebastian Mathias Keller, Maxim Samarin, Antonia Meyer, Vitalii Kosak, Ute Gschwandtner, Peter Fuhr, Volker Roth
Computational EEG in Personalized Medicine: A study in Parkinson's Disease. CoRR (2018)
Sonali Parbhoo, Mario Wieser, Volker Roth
Estimating Causal Effects With Partial Covariates For Clinical Interpretability. CoRR (2018)
Aleksander Wieczorek, Mario Wieser, Damian Murezzan, Volker Roth
Learning Sparse Latent Representations with the Deep Copula Information Bottleneck. CoRR (2018)
Sebastian Mathias Keller, Damian Murezzan, Volker Roth
Invexity Preserving Transformations for Projection Free Optimization with Sparsity Inducing Non-convex Constraints. GCPR (2018)
Mike Wu, Michael C. Hughes, Sonali Parbhoo, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez
Beyond Sparsity: Tree Regularization of Deep Models for Interpretability. AAAI (2018)
Sonali Parbhoo, Jasmina Bogojeska, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez
Combining Kernel and Model Based Learning for HIV Therapy Selection. CRI (2017)
Mike Wu, Michael C. Hughes, Sonali Parbhoo, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez
Beyond Sparsity: Tree Regularization of Deep Models for Interpretability. CoRR (2017)
Bernhard Egger, Dinu Kaufmann, Sandro Schönborn, Volker Roth, Thomas Vetter
Copula Eigenfaces - Semiparametric Principal Component Analysis for Facial Appearance Modeling. VISIGRAPP (1: GRAPP) (2016)
Bernhard Egger, Dinu Kaufmann, Sandro Schönborn, Volker Roth, Thomas Vetter
Copula Eigenfaces with Attributes: Semiparametric Principal Component Analysis for a Combined Color, Shape and Attribute Model. VISIGRAPP (Revised Selected Papers) (2016)
Dinu Kaufmann, Sonali Parbhoo, Aleksander Wieczorek, Sebastian Keller, David Adametz, Volker Roth
Bayesian Markov Blanket Estimation. AISTATS (2016)
Dinu Kaufmann, Sebastian Keller, Volker Roth
Copula Archetypal Analysis. GCPR (2015)
Julia E. Vogt, Marius Kloft, Stefan Stark, Sudhir Raman, Sandhya Prabhakaran, Volker Roth, Gunnar Rätsch
Probabilistic clustering of time-evolving distance data. Mach. Learn. 100 (2-3) (2015)
Julia E. Vogt, Marius Kloft, Stefan Stark, Sudhir Raman, Sandhya Prabhakaran, Volker Roth, Gunnar Rätsch
Probabilistic Clustering of Time-Evolving Distance Data. CoRR (2015)
Dinu Kaufmann, Sonali Parbhoo, Aleksander Wieczorek, Sebastian Keller, David Adametz, Volker Roth
Bayesian Markov Blanket Estimation. CoRR (2015)
David Adametz, Volker Roth
Distance-Based Network Recovery under Feature Correlation. NIPS (2014)
Mélanie Rey, Volker Roth, Thomas J. Fuchs
Sparse meta-Gaussian information bottleneck. ICML (2014)
David Adametz, Mélanie Rey, Volker Roth
Information Bottleneck for Pathway-Centric Gene Expression Analysis. GCPR (2014)
Sandhya Prabhakaran, Mélanie Rey, Osvaldo Zagordi, Niko Beerenwinkel, Volker Roth
HIV Haplotype Inference Using a Propagating Dirichlet Process Mixture Model. IEEE ACM Trans. Comput. Biol. Bioinform. 11 (1) (2014)
Armin Töpfer, Osvaldo Zagordi, Sandhya Prabhakaran, Volker Roth, Eran Halperin, Niko Beerenwinkel
Probabilistic Inference of Viral Quasispecies Subject to Recombination. J. Comput. Biol. 20 (2) (2013)
Sandhya Prabhakaran, David Adametz, Karin J. Metzner, Alexander Böhm, Volker Roth
Recovering networks from distance data. Mach. Learn. 92 (2-3) (2013)
Sandhya Prabhakaran, Karin J. Metzner, Alexander Böhm, Volker Roth
Recovering Networks from Distance Data. ACML (2012)
Mélanie Rey, Volker Roth
Meta-Gaussian Information Bottleneck. NIPS (2012)
Julia E. Vogt, Volker Roth
A Complete Analysis of the l_1,p Group-Lasso CoRR (2012)
Sudhir Raman, Volker Roth
Sparse Point Estimation for Bayesian Regression via Simulated Annealing. DAGM/OAGM Symposium (2012)
Osvaldo Zagordi, Armin Töpfer, Sandhya Prabhakaran, Volker Roth, Eran Halperin, Niko Beerenwinkel
Probabilistic Inference of Viral Quasispecies Subject to Recombination. RECOMB (2012)
Mélanie Rey, Volker Roth
Copula Mixture Model for Dependency-seeking Clustering. CoRR (2012)
Julia E. Vogt, Volker Roth
A Complete Analysis of the l_1, p Group-Lasso. ICML (2012)
Mélanie Rey, Volker Roth
Copula Mixture Model for Dependency-seeking Clustering. ICML (2012)
Sandhya Prabhakaran, Sudhir Raman, Julia E. Vogt, Volker Roth
Automatic Model Selection in Archetype Analysis. DAGM/OAGM Symposium (2012)
David Adametz, Volker Roth
Bayesian Partitioning of Large-Scale Distance Data. NIPS (2011)
Julia E. Vogt, Sandhya Prabhakaran, Thomas J. Fuchs, Volker Roth
The Translation-invariant Wishart-Dirichlet Process for Clustering Distance Data. ICML (2010)
Julia E. Vogt, Volker Roth
Regularization. DAGM-Symposium (2010)
Sudhir Raman, Thomas J. Fuchs, Peter J. Wild, Edgar Dahl, Joachim M. Buhmann, Volker Roth
Infinite mixture-of-experts model for sparse survival regression with application to breast cancer. BMC Bioinform. 11 (S-8) (2010)
Osvaldo Zagordi, Lukas Geyrhofer, Volker Roth, Niko Beerenwinkel
Deep Sequencing of a Genetically Heterogeneous Sample: Local Haplotype Reconstruction and Read Error Correction. J. Comput. Biol. 17 (3) (2010)
Peter J. Schüffler, Thomas J. Fuchs, Cheng Soon Ong, Volker Roth, Joachim M. Buhmann
Computational TMA Analysis and Cell Nucleus Classification of Renal Cell Carcinoma. DAGM-Symposium (2010)
Sudhir Raman, Thomas J. Fuchs, Peter J. Wild, Edgar Dahl, Volker Roth
The Bayesian group-Lasso for analyzing contingency tables. ICML (2009)
Osvaldo Zagordi, Lukas Geyrhofer, Volker Roth, Niko Beerenwinkel
Deep Sequencing of a Genetically Heterogeneous Sample: Local Haplotype Reconstruction and Read Error Correction. RECOMB (2009)
Sudhir Raman, Volker Roth
Sparse Bayesian Regression for Grouped Variables in Generalized Linear Models. DAGM-Symposium (2009)
Bernd Fischer, Volker Roth, Joachim M. Buhmann
Adaptive bandwidth selection for biomarker discovery in mass spectrometry. Artif. Intell. Medicine 45 (2-3) (2009)
Volker Roth, Bernd Fischer
The Group-Lasso for generalized linear models: uniqueness of solutions and efficient algorithms. ICML (2008)
Bernd Fischer, Volker Roth, Joachim M. Buhmann
Time-Series Alignment by Non-negative Multiple Generalized Canonical Correlation Analysis. WILF (2007)
Volker Roth, Bernd Fischer
Improved functional prediction of proteins by learning kernel combinations in multilabel settings. BMC Bioinform. 8 (S-2) (2007)
Volker Roth, Bernd Fischer
: Learning Kernel Combinations in Structured Output Domains. DAGM-Symposium (2007)
Bernd Fischer, Volker Roth, Joachim M. Buhmann
Time-series alignment by non-negative multiple generalized canonical correlation analysis. BMC Bioinform. 8 (S-10) (2007)
Volker Roth, Björn Ommer
Exploiting Low-Level Image Segmentation for Object Recognition. DAGM-Symposium (2006)
Volker Roth
Kernel Fisher Discriminants for Outlier Detection. Neural Comput. 18 (4) (2006)
Bernd Fischer, Jonas Grossmann, Volker Roth, Wilhelm Gruissem, Sacha Baginsky, Joachim M. Buhmann
Semi-supervised LC/MS alignment for differential proteomics. ISMB (Supplement of Bioinformatics) (2006)
Julian Laub, Volker Roth, Joachim M. Buhmann, Klaus-Robert Müller
On the information and representation of non-Euclidean pairwise data. Pattern Recognit. 39 (10) (2006)
Tilman Lange, Volker Roth, Mikio L. Braun, Joachim M. Buhmann
Stability-Based Validation of Clustering Solutions. Neural Comput. 16 (6) (2004)
Volker Roth, Tilman Lange
Bayesian class discovery in microarray datasets. IEEE Trans. Biomed. Eng. 51 (5) (2004)
Volker Roth
Outlier Detection with One-class Kernel Fisher Discriminants. NIPS (2004)
Volker Roth
The generalized LASSO. IEEE Trans. Neural Networks 15 (1) (2004)
Bernd Fischer, Volker Roth, Joachim M. Buhmann, Jonas Grossmann, Sacha Baginsky, Wilhelm Gruissem, Franz F. Roos, Peter Widmayer
A Hidden Markov Model for de Novo Peptide Sequencing. NIPS (2004)
Volker Roth, Tilman Lange
Adaptive Feature Selection in Image Segmentation. DAGM-Symposium (2004)
Bernd Fischer, Volker Roth, Joachim M. Buhmann
Clustering with the Connectivity Kernel. NIPS (2003)
Volker Roth, Tilman Lange
Feature Selection in Clustering Problems. NIPS (2003)
Volker Roth, Julian Laub, Motoaki Kawanabe, Joachim M. Buhmann
Optimal Cluster Preserving Embedding of Nonmetric Proximity Data. IEEE Trans. Pattern Anal. Mach. Intell. 25 (12) (2003)
Volker Roth, Tilman Lange, Mikio L. Braun, Joachim M. Buhmann
A Resampling Approach to Cluster Validation. COMPSTAT (2002)
Tilman Lange, Mikio L. Braun, Volker Roth, Joachim M. Buhmann
Stability-Based Model Selection. NIPS (2002)
Volker Roth, Mikio L. Braun, Tilman Lange, Joachim M. Buhmann
Stability-Based Model Order Selection in Clustering with Applications to Gene Expression Data. ICANN (2002)
Volker Roth, Julian Laub, Joachim M. Buhmann, Klaus-Robert Müller
Going Metric: Denoising Pairwise Data. NIPS (2002)
Volker Roth, Koji Tsuda
Pairwise Coupling for Machine Recognition of Hand-Printed Japanese Characters. CVPR (1) (2001)
Volker Roth
Sparse Kernel Regressors. ICANN (2001)
Volker Roth
Probabilistic Discriminative Kernel Classifiers for Multi-class Problems. DAGM-Symposium (2001)
Volker Roth, Artur Pogoda de la Vega, Volker Steinhage, Stefan Schröder
Automatisierte Artenbestimmung von Insekten durch Bildanalyse. Künstliche Intell. 14 (1) (2000)

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Publication Activity (10 Years)

Top Topics

Top Venues

Volker Roth