ML Anthology

Roth, Volker

32 publications

ICLR 2025 Injective Flows for Star-like Manifolds Marcello Massimo Negri, Jonathan Aellen, Volker Roth
ICLR 2024 Lagrangian Flow Networks for Conservation Laws Fabricio Arend Torres, Marcello Massimo Negri, Marco Inversi, Jonathan Aellen, Volker Roth
NeurIPS 2023 Conditional Matrix Flows for Gaussian Graphical Models Marcello Massimo Negri, Fabricio Arend Torres, Volker Roth
UAI 2022 Feature Learning and Random Features in Standard Finite-Width Convolutional Neural Networks: An Empirical Study Maxim Samarin, Volker Roth, David Belius
JAIR 2021 Optimizing for Interpretability in Deep Neural Networks with Tree Regularization Mike Wu, Sonali Parbhoo, Michael C. Hughes, Volker Roth, Finale Doshi-Velez
NeurIPS 2020 Inverse Learning of Symmetries Mario Wieser, Sonali Parbhoo, Aleksander Wieczorek, Volker Roth
AAAI 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
MLHC 2020 Transfer Learning from Well-Curated to Less-Resourced Populations with HIV Sonali Parbhoo, Mario Wieser, Volker Roth, Finale Doshi-Velez
AAAI 2018 Beyond Sparsity: Tree Regularization of Deep Models for Interpretability Mike Wu, Michael C. Hughes, Sonali Parbhoo, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez
ICLR 2018 Learning Sparse Latent Representations with the Deep Copula Information Bottleneck Aleksander Wieczorek, Mario Wieser, Damian Murezzan, Volker Roth
AISTATS 2016 Bayesian Markov Blanket Estimation Dinu Kaufmann, Sonali Parbhoo, Aleksander Wieczorek, Sebastian Keller, David Adametz, Volker Roth
MLJ 2015 Probabilistic Clustering of Time-Evolving Distance Data Julia E. Vogt, Marius Kloft, Stefan Stark, Sudhir Raman, Sandhya Prabhakaran, Volker Roth, Gunnar Rätsch
NeurIPS 2014 Distance-Based Network Recovery Under Feature Correlation David Adametz, Volker Roth
ICML 2014 Sparse Meta-Gaussian Information Bottleneck Melani Rey, Volker Roth, Thomas Fuchs
MLJ 2013 Recovering Networks from Distance Data Sandhya Prabhakaran, David Adametz, Karin J. Metzner, Alexander Böhm, Volker Roth
ICML 2012 A Complete Analysis of the L_1, P Group-Lasso Julia E. Vogt, Volker Roth
ICML 2012 Copula Mixture Model for Dependency-Seeking Clustering Mélanie Rey, Volker Roth
NeurIPS 2012 Meta-Gaussian Information Bottleneck Melanie Rey, Volker Roth
ACML 2012 Recovering Networks from Distance Data Sandhya Prabhakaran, Karin J. Metzner, Alexander Böhm, Volker Roth
NeurIPS 2011 Bayesian Partitioning of Large-Scale Distance Data David Adametz, Volker Roth
ICML 2010 The Translation-Invariant Wishart-Dirichlet Process for Clustering Distance Data Julia E. Vogt, Sandhya Prabhakaran, Thomas J. Fuchs, Volker Roth
ICML 2009 The Bayesian Group-Lasso for Analyzing Contingency Tables Sudhir Raman, Thomas J. Fuchs, Peter J. Wild, Edgar Dahl, Volker Roth
ICML 2008 The Group-Lasso for Generalized Linear Models: Uniqueness of Solutions and Efficient Algorithms Volker Roth, Bernd Fischer
NeurIPS 2004 A Hidden Markov Model for De Novo Peptide Sequencing Bernd Fischer, Volker Roth, Jonas Grossmann, Sacha Baginsky, Wilhelm Gruissem, Franz Roos, Peter Widmayer, Joachim M. Buhmann
NeurIPS 2004 Outlier Detection with One-Class Kernel Fisher Discriminants Volker Roth
NeCo 2004 Stability-Based Validation of Clustering Solutions Tilman Lange, Volker Roth, Mikio L. Braun, Joachim M. Buhmann
NeurIPS 2003 Clustering with the Connectivity Kernel Bernd Fischer, Volker Roth, Joachim M. Buhmann
NeurIPS 2003 Feature Selection in Clustering Problems Volker Roth, Tilman Lange
NeurIPS 2002 Going Metric: Denoising Pairwise Data Volker Roth, Julian Laub, Klaus-Robert Müller, Joachim M. Buhmann
NeurIPS 2002 Stability-Based Model Selection Tilman Lange, Mikio L. Braun, Volker Roth, Joachim M. Buhmann
CVPR 2001 Pairwise Coupling for Machine Recognition of Hand-Printed Japanese Characters Volker Roth, Koji Tsuda
NeurIPS 1999 Nonlinear Discriminant Analysis Using Kernel Functions Volker Roth, Volker Steinhage