Volker Roth

According to our database, Volker Roth authored at least 89 papers between 1999 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Physics-informed boundary integral networks (PIBI-Nets): A data-driven approach for solving partial differential equations.

Monika Nagy-Huber, Volker Roth

J. Comput. Sci., 2024

Injective Flows for parametric hypersurfaces.

Marcello Massimo Negri, Jonathan Aellen, Volker Roth

CoRR, 2024

Lagrangian Flow Networks for Conservation Laws.

Fabricio Arend Torres, Marcello Massimo Negri, Marco Inversi, Jonathan Aellen, Volker Roth

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Conditional Matrix Flows for Gaussian Graphical Models.

Marcello Massimo Negri, Fabricio Arend Torres, Volker Roth

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Truly Mesh-free Physics-Informed Neural Networks.

Fabricio Arend Torres, Marcello Massimo Negri, Monika Nagy-Huber, Maxim Samarin, Volker Roth

CoRR, 2022

Learning Invariances with Generalised Input-Convex Neural Networks.

Vitali Nesterov, Fabricio Arend Torres, Monika Nagy-Huber, Maxim Samarin, Volker Roth

CoRR, 2022

Feature learning and random features in standard finite-width convolutional neural networks: An empirical study.

Maxim Samarin, Volker Roth, David Belius

Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021

Optimizing for Interpretability in Deep Neural Networks with Tree Regularization.

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

J. Artif. Intell. Res., 2021

Learning Extremal Representations with Deep Archetypal Analysis.

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

Int. J. Comput. Vis., 2021

Learning Conditional Invariance Through Cycle Consistency.

Maxim Samarin, Vitali Nesterov, Mario Wieser, Aleksander Wieczorek, Sonali Parbhoo, Volker Roth

Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

2020

Identifying Soil Erosion Processes in Alpine Grasslands on Aerial Imagery with a U-Net Convolutional Neural Network.

Maxim Samarin, Lauren Zweifel, Volker Roth, Christine Alewell

Remote. Sens., 2020

On the Difference between the Information Bottleneck and the Deep Information Bottleneck.

Aleksander Wieczorek, Volker Roth

Entropy, 2020

Information Bottleneck for Estimating Treatment Effects with Systematically Missing Covariates.

Sonali Parbhoo, Mario Wieser, Aleksander Wieczorek, Volker Roth

Entropy, 2020

3DMolNet: A Generative Network for Molecular Structures.

Vitali Nesterov, Mario Wieser, Volker Roth

CoRR, 2020

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

Maxim Samarin, Volker Roth, David Belius

CoRR, 2020

Inverse Learning of Symmetry Transformations.

Mario Wieser, Sonali Parbhoo, Aleksander Wieczorek, Volker Roth

CoRR, 2020

Inverse Learning of Symmetries.

Mario Wieser, Sonali Parbhoo, Aleksander Wieczorek, Volker Roth

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Transfer Learning from Well-Curated to Less-Resourced Populations with HIV.

Sonali Parbhoo, Mario Wieser, Volker Roth, Finale Doshi-Velez

Proceedings of the Machine Learning for Healthcare Conference, 2020

Regional Tree Regularization for Interpretability in Deep Neural Networks.

Mike Wu, Sonali Parbhoo, Michael C. Hughes, Ryan Kindle, Leo A. Celi, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Information Theoretic Causal Effect Quantification.

Aleksander Wieczorek, Volker Roth

Entropy, 2019

Regional Tree Regularization for Interpretability in Black Box Models.

Mike Wu, Sonali Parbhoo, Michael C. Hughes, Ryan Kindle, Leo A. Celi, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez

CoRR, 2019

Tensor B-Spline Numerical Methods for PDEs: a High-Performance Alternative to FEM.

Dmytro Shulga, Oleksii Morozov, Volker Roth, Felix Friedrich, Patrick R. Hunziker

CoRR, 2019

Deep Archetypal Analysis.

Sebastian Mathias Keller, Maxim Samarin, Mario Wieser, Volker Roth

Proceedings of the Pattern Recognition, 2019

Greedy Structure Learning of Hierarchical Compositional Models.

Adam Kortylewski, Aleksander Wieczorek, Mario Wieser, Clemens Blumer, Sonali Parbhoo, Andreas Morel-Forster, Volker Roth, Thomas Vetter

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

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

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

CoRR, 2018

Estimating Causal Effects With Partial Covariates For Clinical Interpretability.

Sonali Parbhoo, Mario Wieser, Volker Roth

CoRR, 2018

Informed MCMC with Bayesian Neural Networks for Facial Image Analysis.

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

CoRR, 2018

Causal Deep Information Bottleneck.

Sonali Parbhoo, Mario Wieser, Volker Roth

CoRR, 2018

Learning Sparse Latent Representations with the Deep Copula Information Bottleneck.

Aleksander Wieczorek, Mario Wieser, Damian Murezzan, Volker Roth

Proceedings of the 6th International Conference on Learning Representations, 2018

Invexity Preserving Transformations for Projection Free Optimization with Sparsity Inducing Non-convex Constraints.

Sebastian Mathias Keller, Damian Murezzan, Volker Roth

Proceedings of the Pattern Recognition - 40th German Conference, 2018

Beyond Sparsity: Tree Regularization of Deep Models for Interpretability.

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

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Combining Kernel and Model Based Learning for HIV Therapy Selection.

Sonali Parbhoo, Jasmina Bogojeska, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez

Proceedings of the Summit on Clinical Research Informatics, 2017

2016

Copula Eigenfaces with Attributes: Semiparametric Principal Component Analysis for a Combined Color, Shape and Attribute Model.

Bernhard Egger, Dinu Kaufmann, Sandro Schönborn, Volker Roth, Thomas Vetter

Proceedings of the Computer Vision, Imaging and Computer Graphics Theory and Applications, 2016

Copula Eigenfaces - Semiparametric Principal Component Analysis for Facial Appearance Modeling.

Bernhard Egger, Dinu Kaufmann, Sandro Schönborn, Volker Roth, Thomas Vetter

Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), 2016

Bayesian Markov Blanket Estimation.

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

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Probabilistic clustering of time-evolving distance data.

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

Mach. Learn., 2015

Copula Archetypal Analysis.

Dinu Kaufmann, Sebastian Keller, Volker Roth

Proceedings of the Pattern Recognition - 37th German Conference, 2015

2014

HIV Haplotype Inference Using a Propagating Dirichlet Process Mixture Model.

Sandhya Prabhakaran, Mélanie Rey, Osvaldo Zagordi, Niko Beerenwinkel, Volker Roth

IEEE ACM Trans. Comput. Biol. Bioinform., 2014

Distance-Based Network Recovery under Feature Correlation.

David Adametz, Volker Roth

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Sparse meta-Gaussian information bottleneck.

Mélanie Rey, Volker Roth, Thomas J. Fuchs

Proceedings of the 31th International Conference on Machine Learning, 2014

Information Bottleneck for Pathway-Centric Gene Expression Analysis.

David Adametz, Mélanie Rey, Volker Roth

Proceedings of the Pattern Recognition - 36th German Conference, 2014

2013

Automated Analysis of Tissue Micro-Array Images on the Example of Renal Cell Carcinoma.

Peter J. Schüffler, Thomas J. Fuchs, Cheng Soon Ong, Volker Roth, Joachim M. Buhmann

Proceedings of the Similarity-Based Pattern Analysis and Recognition, 2013

Structure Preserving Embedding of Dissimilarity Data.

Volker Roth, Thomas J. Fuchs, Julia E. Vogt, Sandhya Prabhakaran, Joachim M. Buhmann

Proceedings of the Similarity-Based Pattern Analysis and Recognition, 2013

Recovering networks from distance data.

Sandhya Prabhakaran, David Adametz, Karin J. Metzner, Alexander Böhm, Volker Roth

Mach. Learn., 2013

Probabilistic Inference of Viral Quasispecies Subject to Recombination.

Armin Töpfer, Osvaldo Zagordi, Sandhya Prabhakaran, Volker Roth, Eran Halperin, Niko Beerenwinkel

J. Comput. Biol., 2013

2012

Recovering Networks from Distance Data.

Sandhya Prabhakaran, Karin J. Metzner, Alexander Böhm, Volker Roth

Proceedings of the 4th Asian Conference on Machine Learning, 2012

Meta-Gaussian Information Bottleneck.

Mélanie Rey, Volker Roth

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

A Complete Analysis of the l_1, p Group-Lasso.

Julia E. Vogt, Volker Roth

Proceedings of the 29th International Conference on Machine Learning, 2012

Copula Mixture Model for Dependency-seeking Clustering.

Mélanie Rey, Volker Roth

Proceedings of the 29th International Conference on Machine Learning, 2012

Sparse Point Estimation for Bayesian Regression via Simulated Annealing.

Sudhir Raman, Volker Roth

Proceedings of the Pattern Recognition, 2012

Automatic Model Selection in Archetype Analysis.

Sandhya Prabhakaran, Sudhir Raman, Julia E. Vogt, Volker Roth

Proceedings of the Pattern Recognition, 2012

2011

Bayesian Partitioning of Large-Scale Distance Data.

David Adametz, Volker Roth

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010

Deep Sequencing of a Genetically Heterogeneous Sample: Local Haplotype Reconstruction and Read Error Correction.

Osvaldo Zagordi, Lukas Geyrhofer, Volker Roth, Niko Beerenwinkel

J. Comput. Biol., 2010

Infinite mixture-of-experts model for sparse survival regression with application to breast cancer.

Sudhir Raman, Thomas J. Fuchs, Peter J. Wild, Edgar Dahl, Joachim M. Buhmann, Volker Roth

BMC Bioinform., 2010

The Translation-invariant Wishart-Dirichlet Process for Clustering Distance Data.

Julia E. Vogt, Sandhya Prabhakaran, Thomas J. Fuchs, Volker Roth

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

The Group-Lasso: <i>l</i>_{1, INFINITY} Regularization versus <i>l</i>_{1, 2} Regularization.

Julia E. Vogt, Volker Roth

Proceedings of the Pattern Recognition, 2010

Computational TMA Analysis and Cell Nucleus Classification of Renal Cell Carcinoma.

Peter J. Schüffler, Thomas J. Fuchs, Cheng Soon Ong, Volker Roth, Joachim M. Buhmann

Proceedings of the Pattern Recognition, 2010

2009

Adaptive bandwidth selection for biomarker discovery in mass spectrometry.

Bernd Fischer, Volker Roth, Joachim M. Buhmann

Artif. Intell. Medicine, 2009

The Bayesian group-Lasso for analyzing contingency tables.

Sudhir Raman, Thomas J. Fuchs, Peter J. Wild, Edgar Dahl, Volker Roth

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Sparse Bayesian Regression for Grouped Variables in Generalized Linear Models.

Sudhir Raman, Volker Roth

Proceedings of the Pattern Recognition, 2009

2008

The Group-Lasso for generalized linear models: uniqueness of solutions and efficient algorithms.

Volker Roth, Bernd Fischer

Proceedings of the Machine Learning, 2008

2007

Improved functional prediction of proteins by learning kernel combinations in multilabel settings.

Volker Roth, Bernd Fischer

BMC Bioinform., 2007

Time-series alignment by non-negative multiple generalized canonical correlation analysis.

Bernd Fischer, Volker Roth, Joachim M. Buhmann

BMC Bioinform., 2007

The <i>kernelHMM</i> : Learning Kernel Combinations in Structured Output Domains.

Volker Roth, Bernd Fischer

Proceedings of the Pattern Recognition, 2007

2006

On the information and representation of non-Euclidean pairwise data.

Julian Laub, Volker Roth, Joachim M. Buhmann, Klaus-Robert Müller

Pattern Recognit., 2006

Kernel Fisher Discriminants for Outlier Detection.

Volker Roth

Neural Comput., 2006

Semi-supervised LC/MS alignment for differential proteomics.

Bernd Fischer, Jonas Grossmann, Volker Roth, Wilhelm Gruissem, Sacha Baginsky, Joachim M. Buhmann

Proceedings of the Proceedings 14th International Conference on Intelligent Systems for Molecular Biology 2006, 2006

Exploiting Low-Level Image Segmentation for Object Recognition.

Volker Roth, Björn Ommer

Proceedings of the Pattern Recognition, 2006

2004

The generalized LASSO.

Volker Roth

IEEE Trans. Neural Networks, 2004

Bayesian class discovery in microarray datasets.

Volker Roth, Tilman Lange

IEEE Trans. Biomed. Eng., 2004

Stability-Based Validation of Clustering Solutions.

Tilman Lange, Volker Roth, Mikio L. Braun, Joachim M. Buhmann

Neural Comput., 2004

Outlier Detection with One-class Kernel Fisher Discriminants.

Volker Roth

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

A Hidden Markov Model for de Novo Peptide Sequencing.

Bernd Fischer, Volker Roth, Joachim M. Buhmann, Jonas Grossmann, Sacha Baginsky, Wilhelm Gruissem, Franz F. Roos, Peter Widmayer

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Adaptive Feature Selection in Image Segmentation.

Volker Roth, Tilman Lange

Proceedings of the Pattern Recognition, 26th DAGM Symposium, August 30, 2004

2003

Optimal Cluster Preserving Embedding of Nonmetric Proximity Data.

Volker Roth, Julian Laub, Motoaki Kawanabe, Joachim M. Buhmann

IEEE Trans. Pattern Anal. Mach. Intell., 2003

Feature Selection in Clustering Problems.

Volker Roth, Tilman Lange

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Clustering with the Connectivity Kernel.

Bernd Fischer, Volker Roth, Joachim M. Buhmann

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2002

Going Metric: Denoising Pairwise Data.

Volker Roth, Julian Laub, Joachim M. Buhmann, Klaus-Robert Müller

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Stability-Based Model Selection.

Tilman Lange, Mikio L. Braun, Volker Roth, Joachim M. Buhmann

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Stability-Based Model Order Selection in Clustering with Applications to Gene Expression Data.

Volker Roth, Mikio L. Braun, Tilman Lange, Joachim M. Buhmann

Proceedings of the Artificial Neural Networks, 2002

A Resampling Approach to Cluster Validation.

Volker Roth, Tilman Lange, Mikio L. Braun, Joachim M. Buhmann

Proceedings of the COMPSTAT 2002, 2002

2001

Kernel methods for regression and classification.

Volker Roth

PhD thesis, 2001

Sparse Kernel Regressors.

Volker Roth

Proceedings of the Artificial Neural Networks, 2001

Probabilistic Discriminative Kernel Classifiers for Multi-class Problems.

Volker Roth

Proceedings of the Pattern Recognition, 2001

Pairwise Coupling for Machine Recognition of Hand-Printed Japanese Characters.

Volker Roth, Koji Tsuda

Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

2000

Automatisierte Artenbestimmung von Insekten durch Bildanalyse.

Volker Roth, Artur Pogoda de la Vega, Volker Steinhage, Stefan Schröder

Künstliche Intell., 2000

1999

Nonlinear Discriminant Analysis Using Kernel Functions.

Volker Roth, Volker Steinhage

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Pattern Recognition Combining Feature- and Pixel-Based Classification Within a Real World Application.

Volker Roth, Artur Pogoda de la Vega, Volker Steinhage, Stefan Schröder

Proceedings of the Mustererkennung 1999, 1999

Pattern Recognition Combining De-noising and Linear Discriminant Analysis within a Real World Application.

Volker Roth, Volker Steinhage, Stefan Schröder, Armin B. Cremers, Dieter Wittmann

Proceedings of the Computer Analysis of Images and Patterns, 8th International Conference, 1999