| 2024 | CVPR | From Coarse to Fine-Grained Open-Set Recognition. | Nico Lang, Vsteinn Snbjarnarson, Elijah Cole, Oisin Mac Aodha, Christian Igel, Serge J. Belongie |
| 2024 | ECCV | MMEarth: Exploring Multi-modal Pretext Tasks for Geospatial Representation Learning. | Vishal Nedungadi, Ankit Kariryaa, Stefan Oehmcke, Serge J. Belongie, Christian Igel, Nico Lang |
| 2024 | ICASSP | EC-NAS: Energy Consumption Aware Tabular Benchmarks for Neural Architecture Search. | Pedram Bakhtiarifard, Christian Igel, Raghavendra Selvan |
| 2024 | ICML | Smooth Min-Max Monotonic Networks. | Christian Igel |
| 2024 | ICML | Finding NEM-U: Explaining unsupervised representation learning through neural network generated explanation masks. | Bjrn Leth Mller, Christian Igel, Kristoffer Knutsen Wickstrm, Jon Sporring, Robert Jenssen, Bulat Ibragimov |
| 2023 | EACL | MultiFin: A Dataset for Multilingual Financial NLP. | Rasmus Kr Jrgensen, Oliver Brandt, Mareike Hartmann, Xiang Dai, Christian Igel, Desmond Elliott |
| 2022 | ICFHR | Date Recognition in Historical Parish Records. | Laura Cabello Piqueras, Constanza Fierro, Jonas F. Lotz, Phillip Rust, Joen Rommedahl, Jeppe Klok Due, Christian Igel, Desmond Elliott, Carsten B. Pedersen, Israfel Salazar, Anders Sgaard |
| 2022 | ICLR | Information Bottleneck: Exact Analysis of (Quantized) Neural Networks. | Stephan Sloth Lorenzen, Christian Igel, Mads Nielsen |
| 2022 | MICCAI | Histogram-Based Unsupervised Domain Adaptation for Medical Image Classification. | Pengfei Diao, Akshay Pai, Christian Igel, Christian Hedeager Krag |
| 2021 | AISTATS | On the convergence of the Metropolis algorithm with fixed-order updates for multivariate binary probability distributions. | Kai Brgge, Asja Fischer, Christian Igel |
| 2021 | ICASSP | On Scaling Contrastive Representations for Low-Resource Speech Recognition. | Lasse Borgholt, Tycho M. S. Tax, Jakob D. Havtorn, Lars Maale, Christian Igel |
| 2020 | ECCV | Label-Similarity Curriculum Learning. | rn Dogan, Aniket Anand Deshmukh, Marcin Machura, Christian Igel |
| 2020 | IJCAI | Algorithms for Estimating the Partition Function of Restricted Boltzmann Machines (Extended Abstract). | Oswin Krause, Asja Fischer, Christian Igel |
| 2020 | Interspeech | Do End-to-End Speech Recognition Models Care About Context? | Lasse Borgholt, Jakob D. Havtorn, Zeljko Agic, Anders Sgaard, Lars Maale, Christian Igel |
| 2019 | MICCAI | Knowledge Distillation for Semi-supervised Domain Adaptation. | Mauricio Orbes-Arteaga, M. Jorge Cardoso, Lauge Srensen, Christian Igel, Sbastien Ourselin, Marc Modat, Mads Nielsen, Akshay Pai |
| 2019 | MICCAI | One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation. | Mathias Perslev, Erik Bjrnager Dam, Akshay Pai, Christian Igel |
| 2018 | AISTATS | Robust Active Label Correction. | Jan Kremer, Fei Sha, Christian Igel |
| 2018 | ICLR | Resilient Backpropagation (Rprop) for Batch-learning in TensorFlow. | Ciprian Florescu, Christian Igel |
| 2018 | KDD | Training Big Random Forests with Little Resources. | Fabian Gieseke, Christian Igel |
| 2018 | PPSN | Sparse Incomplete LU-Decomposition for Wave Farm Designs Under Realistic Conditions. | Ddac Rodrguez Arbons, Nataliia Y. Sergiienko, Boyin Ding, Oswin Krause, Christian Igel, Markus Wagner |
| 2017 | ALT | A Strongly Quasiconvex PAC-Bayesian Bound. | Niklas Thiemann, Christian Igel, Olivier Wintenberger, Yevgeny Seldin |
| 2017 | FOGA | Qualitative and Quantitative Assessment of Step Size Adaptation Rules. | Oswin Krause, Tobias Glasmachers, Christian Igel |
| 2016 | ESANN | Parallelized rotation and flipping INvariant Kohonen maps (PINK) on GPUs. | Kai Lars Polsterer, Fabian Gieseke, Christian Igel, Bernd Doser, Nikolaos Gianniotis |
| 2016 | GECCO | Unbounded Population MO-CMA-ES for the Bi-Objective BBOB Test Suite. | Oswin Krause, Tobias Glasmachers, Nikolaus Hansen, Christian Igel |
| 2015 | AISTATS | Computational Complexity of Linear Large Margin Classification With Ramp Loss. | Sren Frejstrup Maibing, Christian Igel |
| 2015 | ESANN | High-School Dropout Prediction Using Machine Learning: A Danish Large-scale Study. | Nicolae-Bogdan Sara, Rasmus Halland, Christian Igel, Stephen Alstrup |
| 2015 | FOGA | A More Efficient Rank-one Covariance Matrix Update for Evolution Strategies. | Oswin Krause, Christian Igel |
| 2014 | ESANN | Speedy greedy feature selection: Better redshift estimation via massive parallelism. | Fabian Gieseke, Kai Lars Polsterer, Cosmin Eugen Oancea, Christian Igel |
| 2014 | ICML | Buffer k-d Trees: Processing Massive Nearest Neighbor Queries on GPUs. | Fabian Gieseke, Justin Heinermann, Cosmin E. Oancea, Christian Igel |
| 2013 | ACML | Polynomial Runtime Bounds for Fixed-Rank Unsupervised Least-Squares Classification. | Fabian Gieseke, Tapio Pahikkala, Christian Igel |
| 2013 | ICCV | Shape Index Descriptors Applied to Texture-Based Galaxy Analysis. | Kim Steenstrup Pedersen, Kristoffer Stensbo-Smidt, Andrew Zirm, Christian Igel |
| 2013 | ICML | Approximation properties of DBNs with binary hidden units and real-valued visible units. | Oswin Krause, Asja Fischer, Tobias Glasmachers, Christian Igel |
| 2013 | IJCNN | Detection of traffic signs in real-world images: The German traffic sign detection benchmark. | Sebastian Houben, Johannes Stallkamp, Jan Salmen, Marc Schlipsing, Christian Igel |
| 2013 | MICCAI | Deep Feature Learning for Knee Cartilage Segmentation Using a Triplanar Convolutional Neural Network. | Adhish Prasoon, Kersten Petersen, Christian Igel, Franois Lauze, Erik Dam, Mads Nielsen |
| 2012 | CIARP | An Introduction to Restricted Boltzmann Machines. | Asja Fischer, Christian Igel |
| 2011 | CAIP | Improved Working Set Selection for LaRank. | Matthias Tuma, Christian Igel |
| 2011 | EMO | Real-Time Estimation of Optical Flow Based on Optimized Haar Wavelet Features. | Jan Salmen, Lukas Caup, Christian Igel |
| 2011 | ESANN | Training RBMs based on the signs of the CD approximation of the log-likelihood derivatives. | Asja Fischer, Christian Igel |
| 2011 | ESANN | Non-linearly increasing resampling in racing algorithms. | Verena Heidrich-Meisner, Christian Igel |
| 2011 | FOGA | The logarithmic hypervolume indicator. | Tobias Friedrich, Karl Bringmann, Thomas Vo, Christian Igel |
| 2011 | IJCNN | The German Traffic Sign Recognition Benchmark: A multi-class classification competition. | Johannes Stallkamp, Marc Schlipsing, Jan Salmen, Christian Igel |
| 2010 | GECCO | Scaling up indicator-based MOEAs by approximating the least hypervolume contributor: a preliminary study. | Thomas Vo, Tobias Friedrich, Karl Bringmann, Christian Igel |
| 2010 | GECCO | Improved step size adaptation for the MO-CMA-ES. | Thomas Vo, Nikolaus Hansen, Christian Igel |
| 2010 | ICANN | Empirical Analysis of the Divergence of Gibbs Sampling Based Learning Algorithms for Restricted Boltzmann Machines. | Asja Fischer, Christian Igel |
| 2010 | ICPR | Hydroacoustic Signal Classification Using Kernel Functions for Variable Feature Sets. | Matthias Tuma, Christian Igel, Mark Prior |
| 2010 | PPSN | New Uncertainty Handling Strategies in Multi-objective Evolutionary Optimization. | Thomas Vo, Heike Trautmann, Christian Igel |
| 2009 | EMO | Recombination for Learning Strategy Parameters in the MO-CMA-ES. | Thomas Vo, Nikolaus Hansen, Christian Igel |
| 2009 | GECCO | Uncertainty handling CMA-ES for reinforcement learning. | Verena Heidrich-Meisner, Christian Igel |
| 2009 | ICML | Hoeffding and Bernstein races for selecting policies in evolutionary direct policy search. | Verena Heidrich-Meisner, Christian Igel |
| 2008 | CEC | Scalarization versus indicator-based selection in multi-objective CMA evolution strategies. | Thomas Vo, Nicola Beume, Gnter Rudolph, Christian Igel |
| 2008 | ESANN | Similarities and differences between policy gradient methods and evolution strategies. | Verena Heidrich-Meisner, Christian Igel |
| 2008 | ESANN | Approximation of Gaussian process regression models after training. | Thorsten Suttorp, Christian Igel |
| 2008 | PPSN | Uncertainty Handling in Model Selection for Support Vector Machines. | Tobias Glasmachers, Christian Igel |
| 2008 | PPSN | Evolution Strategies for Direct Policy Search. | Verena Heidrich-Meisner, Christian Igel |
| 2007 | EMO | Steady-State Selection and Efficient Covariance Matrix Update in the Multi-objective CMA-ES. | Christian Igel, Thorsten Suttorp, Nikolaus Hansen |
| 2007 | ESANN | Reinforcement learning in a nutshell. | Verena Heidrich-Meisner, Martin Lauer, Christian Igel, Martin A. Riedmiller |
| 2007 | HIS | Evolutionary Optimization ofWavelet Feature Sets for Real-Time Pedestrian Classification. | Jan Salmen, Thorsten Suttorp, Johann Edelbrunner, Christian Igel |
| 2007 | ICANN | Resilient Approximation of Kernel Classifiers. | Thorsten Suttorp, Christian Igel |
| 2006 | GECCO | A computational efficient covariance matrix update and a (1+1)-CMA for evolution strategies. | Christian Igel, Thorsten Suttorp, Nikolaus Hansen |
| 2006 | ICANN | Evolutionary Optimization of Sequence Kernels for Detection of Bacterial Gene Starts. | Britta Mersch, Tobias Glasmachers, Peter Meinicke, Christian Igel |
| 2005 | EMO | Multi-objective Model Selection for Support Vector Machines. | Christian Igel |
| 2005 | ESANN | Synergies between Evolutionary and Neural Computation. | Christian Igel, Bernhard Sendhoff |
| 2004 | ESANN | Evolutionary tuning of multiple SVM parameters. | Frauke Friedrichs, Christian Igel |
| 2004 | ESANN | Evolutionary Optimization of Neural Networks for Face Detection. | Stefan Wiegand, Christian Igel, Uwe Handmann |
| 2004 | IJCNN | Protein fold class prediction using neural networks with tailored early-stopping. | Christian Igel, Jutta Gebert, Thomas Wiebringhaus |
| 2003 | CEC | Neuroevolution for reinforcement learning using evolution strategies. | Christian Igel |
| 2002 | CEC | Neutrality: a necessity for self-adaptation. | Marc Toussaint, Christian Igel |
| 2002 | GECCO | Balancing Learning And Evolution. | Michael Hsken, Christian Igel |
| 1999 | CEC | Using fitness distributions to improve the evolution of learning structures. | Christian Igel, Martin Kreutz |