Volker Roth - RankMe

110 papers A* 13A 2B 2C 4Journal 51Unranked 34

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Injective flows for star-like manifolds. ICLR Marcello Massimo Negri, Jonathan Aellen, Volker Roth
2025	J	`jnl`	Marginal Flow: a flexible and efficient framework for density estimation. CoRR Marcello Massimo Negri, Jonathan Aellen, Manuel Jahn, AmirEhsan Khorashadizadeh, Volker Roth
2025	J	`jnl`	NIMO: a Nonlinear Interpretable MOdel. CoRR Shijian Xu, Marcello Massimo Negri, Volker Roth
2024	J	`jnl`	Injective Flows for parametric hypersurfaces. CoRR Marcello Massimo Negri, Jonathan Aellen, Volker Roth
2024	A*	`conf`	Lagrangian Flow Networks for Conservation Laws. ICLR Fabricio Arend Torres, Marcello Massimo Negri, Marco Inversi, Jonathan Aellen, Volker Roth
2024	J	`jnl`	Physics-informed boundary integral networks (PIBI-Nets): A data-driven approach for solving partial differential equations. J. Comput. Sci. Monika Nagy-Huber, Volker Roth
2023	A*	`conf`	Conditional Matrix Flows for Gaussian Graphical Models. NeurIPS Marcello Massimo Negri, Fabricio Arend Torres, Volker Roth
2023	J	`jnl`	Conditional Matrix Flows for Gaussian Graphical Models. CoRR Marcello Massimo Negri, Fabricio Arend Torres, Volker Roth
2023	J	`jnl`	Lagrangian Flow Networks for Conservation Laws. CoRR Fabricio Arend Torres, Marcello Massimo Negri, Marco Inversi, Jonathan Aellen, Volker Roth
2023	J	`jnl`	Physics-Informed Boundary Integral Networks (PIBI-Nets): A Data-Driven Approach for Solving Partial Differential Equations. CoRR Monika Nagy-Huber, Volker Roth
2022	A	`conf`	Feature learning and random features in standard finite-width convolutional neural networks: An empirical study. UAI Maxim Samarin, Volker Roth, David Belius
2022	J	`jnl`	Learning Invariances with Generalised Input-Convex Neural Networks. CoRR Vitali Nesterov, Fabricio Arend Torres, Monika Nagy-Huber, Maxim Samarin, Volker Roth
2022	J	`jnl`	Truly Mesh-free Physics-Informed Neural Networks. CoRR Fabricio Arend Torres, Marcello Massimo Negri, Monika Nagy-Huber, Maxim Samarin, Volker Roth
2021	—	`conf`	Learning Conditional Invariance Through Cycle Consistency. GCPR Maxim Samarin, Vitali Nesterov, Mario Wieser, Aleksander Wieczorek, Sonali Parbhoo, Volker Roth
2021	J	`jnl`	Learning Conditional Invariance through Cycle Consistency. CoRR Maxim Samarin, Vitali Nesterov, Mario Wieser, Aleksander Wieczorek, Sonali Parbhoo, Volker Roth
2021	J	`jnl`	Learning Extremal Representations with Deep Archetypal Analysis. Int. J. Comput. Vis. Sebastian Mathias Keller, Maxim Samarin, Fabricio Arend Torres, Mario Wieser, Volker Roth
2021	J	`jnl`	Optimizing for Interpretability in Deep Neural Networks with Tree Regularization. J. Artif. Intell. Res. Mike Wu, Sonali Parbhoo, Michael C. Hughes, Volker Roth, Finale Doshi-Velez
2020	J	`jnl`	3DMolNet: A Generative Network for Molecular Structures. CoRR Vitali Nesterov, Mario Wieser, Volker Roth
2020	J	`jnl`	Identifying Soil Erosion Processes in Alpine Grasslands on Aerial Imagery with a U-Net Convolutional Neural Network. Remote. Sens. Maxim Samarin, Lauren Zweifel, Volker Roth, Christine Alewell
2020	J	`jnl`	Information Bottleneck for Estimating Treatment Effects with Systematically Missing Covariates. Entropy Sonali Parbhoo, Mario Wieser, Aleksander Wieczorek, Volker Roth
2020	A*	`conf`	Inverse Learning of Symmetries. NeurIPS Mario Wieser, Sonali Parbhoo, Aleksander Wieczorek, Volker Roth
2020	J	`jnl`	Inverse Learning of Symmetry Transformations. CoRR Mario Wieser, Sonali Parbhoo, Aleksander Wieczorek, Volker Roth
2020	J	`jnl`	Learning Extremal Representations with Deep Archetypal Analysis. CoRR Sebastian Mathias Keller, Maxim Samarin, Fabricio Arend Torres, Mario Wieser, Volker Roth
2020	J	`jnl`	On the Difference between the Information Bottleneck and the Deep Information Bottleneck. Entropy Aleksander Wieczorek, Volker Roth
2020	J	`jnl`	On the Empirical Neural Tangent Kernel of Standard Finite-Width Convolutional Neural Network Architectures. CoRR Maxim Samarin, Volker Roth, David Belius
2020	A*	`conf`	Regional Tree Regularization for Interpretability in Deep Neural Networks. AAAI Mike Wu, Sonali Parbhoo, Michael C. Hughes, Ryan Kindle, Leo A. Celi, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez
2020	—	`conf`	Transfer Learning from Well-Curated to Less-Resourced Populations with HIV. MLHC Sonali Parbhoo, Mario Wieser, Volker Roth, Finale Doshi-Velez
2019	—	`conf`	Deep Archetypal Analysis. GCPR Sebastian Mathias Keller, Maxim Samarin, Mario Wieser, Volker Roth
2019	J	`jnl`	Deep Archetypal Analysis. CoRR Sebastian Mathias Keller, Maxim Samarin, Mario Wieser, Volker Roth
2019	A*	`conf`	Greedy Structure Learning of Hierarchical Compositional Models. CVPR Adam Kortylewski, Aleksander Wieczorek, Mario Wieser, Clemens Blumer, Sonali Parbhoo, Andreas Morel-Forster, Volker Roth, Thomas Vetter
2019	J	`jnl`	Information Theoretic Causal Effect Quantification. Entropy Aleksander Wieczorek, Volker Roth
2019	J	`jnl`	On the Difference Between the Information Bottleneck and the Deep Information Bottleneck. CoRR Aleksander Wieczorek, Volker Roth
2019	J	`jnl`	Optimizing for Interpretability in Deep Neural Networks with Tree Regularization. CoRR Mike Wu, Sonali Parbhoo, Michael C. Hughes, Volker Roth, Finale Doshi-Velez
2019	J	`jnl`	Regional Tree Regularization for Interpretability in Black Box Models. CoRR Mike Wu, Sonali Parbhoo, Michael C. Hughes, Ryan Kindle, Leo A. Celi, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez
2019	J	`jnl`	Tensor B-Spline Numerical Methods for PDEs: a High-Performance Alternative to FEM. CoRR Dmytro Shulga, Oleksii Morozov, Volker Roth, Felix Friedrich, Patrick R. Hunziker
2018	A*	`conf`	Beyond Sparsity: Tree Regularization of Deep Models for Interpretability. AAAI Mike Wu, Michael C. Hughes, Sonali Parbhoo, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez
2018	J	`jnl`	Causal Deep Information Bottleneck. CoRR Sonali Parbhoo, Mario Wieser, Volker Roth
2018	J	`jnl`	Computational EEG in Personalized Medicine: A study in Parkinson's Disease. CoRR Sebastian Mathias Keller, Maxim Samarin, Antonia Meyer, Vitalii Kosak, Ute Gschwandtner, Peter Fuhr, Volker Roth
2018	J	`jnl`	Estimating Causal Effects With Partial Covariates For Clinical Interpretability. CoRR Sonali Parbhoo, Mario Wieser, Volker Roth
2018	J	`jnl`	Informed MCMC with Bayesian Neural Networks for Facial Image Analysis. CoRR Adam Kortylewski, Mario Wieser, Andreas Morel-Forster, Aleksander Wieczorek, Sonali Parbhoo, Volker Roth, Thomas Vetter
2018	—	`conf`	Invexity Preserving Transformations for Projection Free Optimization with Sparsity Inducing Non-convex Constraints. GCPR Sebastian Mathias Keller, Damian Murezzan, Volker Roth
2018	—	`conf`	Learning Sparse Latent Representations with the Deep Copula Information Bottleneck. ICLR (Poster) Aleksander Wieczorek, Mario Wieser, Damian Murezzan, Volker Roth
2018	J	`jnl`	Learning Sparse Latent Representations with the Deep Copula Information Bottleneck. CoRR Aleksander Wieczorek, Mario Wieser, Damian Murezzan, Volker Roth
2017	J	`jnl`	Beyond Sparsity: Tree Regularization of Deep Models for Interpretability. CoRR Mike Wu, Michael C. Hughes, Sonali Parbhoo, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez
2017	—	`conf`	Combining Kernel and Model Based Learning for HIV Therapy Selection. CRI Sonali Parbhoo, Jasmina Bogojeska, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez
2017	—	`ed.`	Pattern Recognition - 39th German Conference, GCPR 2017, Basel, Switzerland, September 12-15, 2017, Proceedings GCPR Volker Roth, Thomas Vetter
2016	A	`conf`	Bayesian Markov Blanket Estimation. AISTATS Dinu Kaufmann, Sonali Parbhoo, Aleksander Wieczorek, Sebastian Keller, David Adametz, Volker Roth
2016	—	`conf`	Copula Eigenfaces - Semiparametric Principal Component Analysis for Facial Appearance Modeling. VISIGRAPP (1: GRAPP) Bernhard Egger, Dinu Kaufmann, Sandro Schönborn, Volker Roth, Thomas Vetter
2016	—	`conf`	Copula Eigenfaces with Attributes: Semiparametric Principal Component Analysis for a Combined Color, Shape and Attribute Model. VISIGRAPP (Revised Selected Papers) Bernhard Egger, Dinu Kaufmann, Sandro Schönborn, Volker Roth, Thomas Vetter
2015	J	`jnl`	Bayesian Markov Blanket Estimation. CoRR Dinu Kaufmann, Sonali Parbhoo, Aleksander Wieczorek, Sebastian Keller, David Adametz, Volker Roth
2015	—	`conf`	Copula Archetypal Analysis. GCPR Dinu Kaufmann, Sebastian Keller, Volker Roth
2015	J	`jnl`	Probabilistic Clustering of Time-Evolving Distance Data. CoRR Julia E. Vogt, Marius Kloft, Stefan Stark, Sudhir Raman, Sandhya Prabhakaran, Volker Roth, Gunnar Rätsch
2015	J	`jnl`	Probabilistic clustering of time-evolving distance data. Mach. Learn. Julia E. Vogt, Marius Kloft, Stefan Stark, Sudhir Raman, Sandhya Prabhakaran, Volker Roth, Gunnar Rätsch
2014	—	`conf`	Distance-Based Network Recovery under Feature Correlation. NIPS David Adametz, Volker Roth
2014	J	`jnl`	HIV Haplotype Inference Using a Propagating Dirichlet Process Mixture Model. IEEE ACM Trans. Comput. Biol. Bioinform. Sandhya Prabhakaran, Mélanie Rey, Osvaldo Zagordi, Niko Beerenwinkel, Volker Roth
2014	—	`conf`	Information Bottleneck for Pathway-Centric Gene Expression Analysis. GCPR David Adametz, Mélanie Rey, Volker Roth
2014	A*	`conf`	Sparse meta-Gaussian information bottleneck. ICML Mélanie Rey, Volker Roth, Thomas J. Fuchs
2013	—	`ch.`	Automated Analysis of Tissue Micro-Array Images on the Example of Renal Cell Carcinoma. Similarity-Based Pattern Analysis and Recognition Peter J. Schüffler, Thomas J. Fuchs, Cheng Soon Ong, Volker Roth, Joachim M. Buhmann
2013	J	`jnl`	Probabilistic Inference of Viral Quasispecies Subject to Recombination. J. Comput. Biol. Armin Töpfer, Osvaldo Zagordi, Sandhya Prabhakaran, Volker Roth, Eran Halperin, Niko Beerenwinkel
2013	J	`jnl`	Recovering networks from distance data. Mach. Learn. Sandhya Prabhakaran, David Adametz, Karin J. Metzner, Alexander Böhm, Volker Roth
2013	—	`ch.`	Structure Preserving Embedding of Dissimilarity Data. Similarity-Based Pattern Analysis and Recognition Volker Roth, Thomas J. Fuchs, Julia E. Vogt, Sandhya Prabhakaran, Joachim M. Buhmann
2012	A*	`conf`	A Complete Analysis of the l_1, p Group-Lasso. ICML Julia E. Vogt, Volker Roth
2012	J	`jnl`	A Complete Analysis of the l_1,p Group-Lasso CoRR Julia E. Vogt, Volker Roth
2012	—	`conf`	Automatic Model Selection in Archetype Analysis. DAGM/OAGM Symposium Sandhya Prabhakaran, Sudhir Raman, Julia E. Vogt, Volker Roth
2012	A*	`conf`	Copula Mixture Model for Dependency-seeking Clustering. ICML Mélanie Rey, Volker Roth
2012	J	`jnl`	Copula Mixture Model for Dependency-seeking Clustering. CoRR Mélanie Rey, Volker Roth
2012	—	`conf`	Meta-Gaussian Information Bottleneck. NIPS Mélanie Rey, Volker Roth
2012	B	`conf`	Probabilistic Inference of Viral Quasispecies Subject to Recombination. RECOMB Osvaldo Zagordi, Armin Töpfer, Sandhya Prabhakaran, Volker Roth, Eran Halperin, Niko Beerenwinkel
2012	C	`conf`	Recovering Networks from Distance Data. ACML Sandhya Prabhakaran, Karin J. Metzner, Alexander Böhm, Volker Roth
2012	—	`conf`	Sparse Point Estimation for Bayesian Regression via Simulated Annealing. DAGM/OAGM Symposium Sudhir Raman, Volker Roth
2011	—	`conf`	Bayesian Partitioning of Large-Scale Distance Data. NIPS David Adametz, Volker Roth
2010	—	`conf`	Computational TMA Analysis and Cell Nucleus Classification of Renal Cell Carcinoma. DAGM-Symposium Peter J. Schüffler, Thomas J. Fuchs, Cheng Soon Ong, Volker Roth, Joachim M. Buhmann
2010	J	`jnl`	Deep Sequencing of a Genetically Heterogeneous Sample: Local Haplotype Reconstruction and Read Error Correction. J. Comput. Biol. Osvaldo Zagordi, Lukas Geyrhofer, Volker Roth, Niko Beerenwinkel
2010	J	`jnl`	Infinite mixture-of-experts model for sparse survival regression with application to breast cancer. BMC Bioinform. Sudhir Raman, Thomas J. Fuchs, Peter J. Wild, Edgar Dahl, Joachim M. Buhmann, Volker Roth
2010	—	`conf`	The Group-Lasso: DAGM-Symposium Julia E. Vogt, Volker Roth
2010	A*	`conf`	The Translation-invariant Wishart-Dirichlet Process for Clustering Distance Data. ICML Julia E. Vogt, Sandhya Prabhakaran, Thomas J. Fuchs, Volker Roth
2009	J	`jnl`	Adaptive bandwidth selection for biomarker discovery in mass spectrometry. Artif. Intell. Medicine Bernd Fischer, Volker Roth, Joachim M. Buhmann
2009	B	`conf`	Deep Sequencing of a Genetically Heterogeneous Sample: Local Haplotype Reconstruction and Read Error Correction. RECOMB Osvaldo Zagordi, Lukas Geyrhofer, Volker Roth, Niko Beerenwinkel
2009	—	`conf`	Sparse Bayesian Regression for Grouped Variables in Generalized Linear Models. DAGM-Symposium Sudhir Raman, Volker Roth
2009	A*	`conf`	The Bayesian group-Lasso for analyzing contingency tables. ICML Sudhir Raman, Thomas J. Fuchs, Peter J. Wild, Edgar Dahl, Volker Roth
2008	A*	`conf`	The Group-Lasso for generalized linear models: uniqueness of solutions and efficient algorithms. ICML Volker Roth, Bernd Fischer
2007	J	`jnl`	Improved functional prediction of proteins by learning kernel combinations in multilabel settings. BMC Bioinform. Volker Roth, Bernd Fischer
2007	—	`conf`	The DAGM-Symposium Volker Roth, Bernd Fischer
2007	—	`conf`	Time-Series Alignment by Non-negative Multiple Generalized Canonical Correlation Analysis. WILF Bernd Fischer, Volker Roth, Joachim M. Buhmann
2007	J	`jnl`	Time-series alignment by non-negative multiple generalized canonical correlation analysis. BMC Bioinform. Bernd Fischer, Volker Roth, Joachim M. Buhmann
2006	—	`conf`	Exploiting Low-Level Image Segmentation for Object Recognition. DAGM-Symposium Volker Roth, Björn Ommer
2006	J	`jnl`	Kernel Fisher Discriminants for Outlier Detection. Neural Comput. Volker Roth
2006	J	`jnl`	On the information and representation of non-Euclidean pairwise data. Pattern Recognit. Julian Laub, Volker Roth, Joachim M. Buhmann, Klaus-Robert Müller
2006	—	`conf`	Semi-supervised LC/MS alignment for differential proteomics. ISMB (Supplement of Bioinformatics) Bernd Fischer, Jonas Grossmann, Volker Roth, Wilhelm Gruissem, Sacha Baginsky, Joachim M. Buhmann
2004	—	`conf`	A Hidden Markov Model for de Novo Peptide Sequencing. NIPS Bernd Fischer, Volker Roth, Joachim M. Buhmann, Jonas Grossmann, Sacha Baginsky, Wilhelm Gruissem, Franz F. Roos, Peter Widmayer
2004	—	`conf`	Adaptive Feature Selection in Image Segmentation. DAGM-Symposium Volker Roth, Tilman Lange
2004	J	`jnl`	Bayesian class discovery in microarray datasets. IEEE Trans. Biomed. Eng. Volker Roth, Tilman Lange
2004	—	`conf`	Outlier Detection with One-class Kernel Fisher Discriminants. NIPS Volker Roth
2004	J	`jnl`	Stability-Based Validation of Clustering Solutions. Neural Comput. Tilman Lange, Volker Roth, Mikio L. Braun, Joachim M. Buhmann
2004	J	`jnl`	The generalized LASSO. IEEE Trans. Neural Networks Volker Roth
2003	—	`conf`	Clustering with the Connectivity Kernel. NIPS Bernd Fischer, Volker Roth, Joachim M. Buhmann
2003	—	`conf`	Feature Selection in Clustering Problems. NIPS Volker Roth, Tilman Lange
2003	J	`jnl`	Optimal Cluster Preserving Embedding of Nonmetric Proximity Data. IEEE Trans. Pattern Anal. Mach. Intell. Volker Roth, Julian Laub, Motoaki Kawanabe, Joachim M. Buhmann
2002	—	`conf`	A Resampling Approach to Cluster Validation. COMPSTAT Volker Roth, Tilman Lange, Mikio L. Braun, Joachim M. Buhmann
2002	—	`conf`	Going Metric: Denoising Pairwise Data. NIPS Volker Roth, Julian Laub, Joachim M. Buhmann, Klaus-Robert Müller
2002	C	`conf`	Stability-Based Model Order Selection in Clustering with Applications to Gene Expression Data. ICANN Volker Roth, Mikio L. Braun, Tilman Lange, Joachim M. Buhmann
2002	—	`conf`	Stability-Based Model Selection. NIPS Tilman Lange, Mikio L. Braun, Volker Roth, Joachim M. Buhmann
2001	—	`—`	Kernel methods for regression and classification. Volker Roth
2001	—	`conf`	Pairwise Coupling for Machine Recognition of Hand-Printed Japanese Characters. CVPR (1) Volker Roth, Koji Tsuda
2001	—	`conf`	Probabilistic Discriminative Kernel Classifiers for Multi-class Problems. DAGM-Symposium Volker Roth
2001	C	`conf`	Sparse Kernel Regressors. ICANN Volker Roth
2000	J	`jnl`	Automatisierte Artenbestimmung von Insekten durch Bildanalyse. Künstliche Intell. Volker Roth, Artur Pogoda de la Vega, Volker Steinhage, Stefan Schröder
1999	—	`conf`	Nonlinear Discriminant Analysis Using Kernel Functions. NIPS Volker Roth, Volker Steinhage
1999	C	`conf`	Pattern Recognition Combining De-noising and Linear Discriminant Analysis within a Real World Application. CAIP Volker Roth, Volker Steinhage, Stefan Schröder, Armin B. Cremers, Dieter Wittmann
1999	—	`conf`	Pattern Recognition Combining Feature- and Pixel-Based Classification Within a Real World Application. DAGM-Symposium Volker Roth, Artur Pogoda de la Vega, Volker Steinhage, Stefan Schröder