Igel, Christian

30 publications

NeurIPS 2024 BMRS: Bayesian Model Reduction for Structured Pruning Dustin Wright, Christian Igel, Raghavendra Selvan
ICML 2024 Finding NEM-U: Explaining Unsupervised Representation Learning Through Neural Network Generated Explanation Masks Bjørn Leth Møller, Christian Igel, Kristoffer Knutsen Wickstrøm, Jon Sporring, Robert Jenssen, Bulat Ibragimov
TMLR 2024 Fooling Contrastive Language-Image Pre-Trained Models with CLIPMasterPrints Matthias Freiberger, Peter Kun, Christian Igel, Anders Sundnes Løvlie, Sebastian Risi
CVPR 2024 From Coarse to Fine-Grained Open-Set Recognition Nico Lang, Vésteinn Snæbjarnarson, Elijah Cole, Oisin Mac Aodha, Christian Igel, Serge Belongie
ECCV 2024 MMEarth: Exploring Multi-Modal Pretext Tasks for Geospatial Representation Learning Vishal Nedungadi, Ankit Kariryaa, Stefan Oehmcke, Serge Belongie, Christian Igel, Nico Lang
ICML 2024 Smooth Min-Max Monotonic Networks Christian Igel
ICLR 2022 Information Bottleneck: Exact Analysis of (Quantized) Neural Networks Stephan Sloth Lorenzen, Christian Igel, Mads Nielsen
AISTATS 2021 On the Convergence of the Metropolis Algorithm with Fixed-Order Updates for Multivariate Binary Probability Distributions Kai Brügge, Asja Fischer, Christian Igel
NeurIPS 2021 Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote Yi-Shan Wu, Andres Masegosa, Stephan Lorenzen, Christian Igel, Yevgeny Seldin
NeurIPS 2020 A Loss Function for Generative Neural Networks Based on Watson’s Perceptual Model Steffen Czolbe, Oswin Krause, Ingemar Cox, Christian Igel
IJCAI 2020 Algorithms for Estimating the Partition Function of Restricted Boltzmann Machines (Extended Abstract) Oswin Krause, Asja Fischer, Christian Igel
ECCV 2020 Label-Similarity Curriculum Learning Ürün Dogan, Aniket Anand Deshmukh, Marcin Bronislaw Machura, Christian Igel
NeurIPS 2020 Second Order PAC-Bayesian Bounds for the Weighted Majority Vote Andres Masegosa, Stephan Lorenzen, Christian Igel, Yevgeny Seldin
MLJ 2019 On PAC-Bayesian Bounds for Random Forests Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin
NeurIPS 2019 U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging Mathias Perslev, Michael Jensen, Sune Darkner, Poul Jørgen Jennum, Christian Igel
AISTATS 2018 Robust Active Label Correction Jan Kremer, Fei Sha, Christian Igel
ALT 2017 A Strongly Quasiconvex PAC-Bayesian Bound Niklas Thiemann, Christian Igel, Olivier Wintenberger, Yevgeny Seldin
JMLR 2016 A Unified View on Multi-Class Support Vector Classification Ürün Doğan, Tobias Glasmachers, Christian Igel
NeurIPS 2016 CMA-ES with Optimal Covariance Update and Storage Complexity Oswin Krause, Dídac Rodríguez Arbonès, Christian Igel
AISTATS 2015 Computational Complexity of Linear Large Margin Classification with Ramp Loss Søren Frejstrup Maibing, Christian Igel
ICML 2014 Buffer K-D Trees: Processing Massive Nearest Neighbor Queries on GPUs Fabian Gieseke, Justin Heinermann, Cosmin Oancea, Christian Igel
ICML 2013 Approximation Properties of DBNs with Binary Hidden Units and Real-Valued Visible Units Oswin Krause, Asja Fischer, Tobias Glasmachers, Christian Igel
ACML 2013 Polynomial Runtime Bounds for Fixed-Rank Unsupervised Least-Squares Classification Fabian Gieseke, Tapio Pahikkala, Christian Igel
ICCV 2013 Shape Index Descriptors Applied to Texture-Based Galaxy Analysis Kim Steenstrup Pedersen, Kristoffer Stensbo-Smidt, Andrew Zirm, Christian Igel
MLJ 2013 The Flip-the-State Transition Operator for Restricted Boltzmann Machines Kai Brügge, Asja Fischer, Christian Igel
ECML-PKDD 2012 A Note on Extending Generalization Bounds for Binary Large-Margin Classifiers to Multiple Classes Ürün Dogan, Tobias Glasmachers, Christian Igel
MLJ 2009 Efficient Covariance Matrix Update for Variable Metric Evolution Strategies Thorsten Suttorp, Nikolaus Hansen, Christian Igel
ICML 2009 Hoeffding and Bernstein Races for Selecting Policies in Evolutionary Direct Policy Search Verena Heidrich-Meisner, Christian Igel
MLOSS 2008 Shark Christian Igel, Verena Heidrich-Meisner, Tobias Glasmachers
JMLR 2006 Maximum-Gain Working Set Selection for SVMs Tobias Glasmachers, Christian Igel