More from the Same Authors

• 2021 : RobustBench: a standardized adversarial robustness benchmark »
  Francesco Croce · Maksym Andriushchenko · Vikash Sehwag · Edoardo Debenedetti · Nicolas Flammarion · Mung Chiang · Prateek Mittal · Matthias Hein
• 2021 Spotlight: An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence »
  Agustinus Kristiadi · Matthias Hein · Philipp Hennig
• 2021 : Being a Bit Frequentist Improves Bayesian Neural Networks »
  Agustinus Kristiadi · Matthias Hein · Philipp Hennig
• 2021 Poster: An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence »
  Agustinus Kristiadi · Matthias Hein · Philipp Hennig
• 2021 Poster: Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks »
  Maksym Yatsura · Jan Metzen · Matthias Hein
• 2017 : Poster Spotlights I »
  Taesik Na · Yang Song · Aman Sinha · Richard Shin · Qiuyuan Huang · Nina Narodytska · Matt Staib · Kexin Pei · Fnu Suya · Amirata Ghorbani · Jacob Buckman · Matthias Hein · Huan Zhang · Yanjun Qi · Yuan Tian · Min Du · Dimitris Tsipras
• 2017 Poster: Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation »
  Matthias Hein · Maksym Andriushchenko
• 2016 Poster: Clustering Signed Networks with the Geometric Mean of Laplacians »
  Pedro Mercado · Francesco Tudisco · Matthias Hein
• 2016 Poster: Globally Optimal Training of Generalized Polynomial Neural Networks with Nonlinear Spectral Methods »
  Antoine Gautier · Quynh Nguyen · Matthias Hein
• 2015 Poster: Efficient Output Kernel Learning for Multiple Tasks »
  Pratik Kumar Jawanpuria · Maksim Lapin · Matthias Hein · Bernt Schiele
• 2015 Poster: Top-k Multiclass SVM »
  Maksim Lapin · Matthias Hein · Bernt Schiele
• 2015 Spotlight: Top-k Multiclass SVM »
  Maksim Lapin · Matthias Hein · Bernt Schiele
• 2015 Poster: Regularization-Free Estimation in Trace Regression with Symmetric Positive Semidefinite Matrices »
  Martin Slawski · Ping Li · Matthias Hein
• 2014 Poster: Tight Continuous Relaxation of the Balanced k-Cut Problem »
  Syama Sundar Rangapuram · Pramod Kaushik Mudrakarta · Matthias Hein
• 2013 Poster: The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited »
  Matthias Hein · Simon Setzer · Leonardo Jost · Syama Sundar Rangapuram
• 2013 Spotlight: The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited »
  Matthias Hein · Simon Setzer · Leonardo Jost · Syama Sundar Rangapuram
• 2013 Poster: Matrix factorization with binary components »
  Martin Slawski · Matthias Hein · Pavlo Lutsik
• 2013 Spotlight: Matrix factorization with binary components »
  Martin Slawski · Matthias Hein · Pavlo Lutsik
• 2011 Poster: Sparse recovery by thresholded non-negative least squares »
  Martin Slawski · Matthias Hein
• 2011 Poster: Beyond Spectral Clustering - Tight Relaxations of Balanced Graph Cuts »
  Matthias Hein · Simon Setzer
• 2010 Poster: An Inverse Power Method for Nonlinear Eigenproblems with Applications in 1-Spectral Clustering and Sparse PCA »
  Matthias Hein · Thomas Bühler
• 2010 Spotlight: Getting lost in space: Large sample analysis of the resistance distance »
  Ulrike von Luxburg · Agnes Radl · Matthias Hein
• 2010 Poster: Getting lost in space: Large sample analysis of the resistance distance »
  Ulrike von Luxburg · Agnes Radl · Matthias Hein
• 2009 Poster: Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction »
  Kwang In Kim · Florian Steinke · Matthias Hein
• 2009 Poster: Robust Nonparametric Regression with Metric-Space Valued Output »
  Matthias Hein
• 2008 Poster: Non-parametric Regression Between Manifolds »
  Florian Steinke · Matthias Hein
• 2008 Poster: Influence of graph construction on graph-based clustering measures »
  Markus M Maier · Ulrike von Luxburg · Matthias Hein
• 2008 Oral: Influence of graph construction on graph-based clustering measures »
  Markus M Maier · Ulrike von Luxburg · Matthias Hein
• 2006 Talk: Manifold Denoising »
  Matthias Hein · Markus M Maier