Christian Igel

Professor, Dr. habil.

Office address:		Mail address:
Department of Computer Science		Department of Computer Science
University of Copenhagen		University of Copenhagen
Universitetsparken 1, room 1.2.20		Universitetsparken 5
2100 København Ø		2100 København Ø

Email:	igel@diku.dk
Phone:	(+45) 21849673

Short CV

I am professor at DIKU, the Department of Computer Science at the University of Copenhagen. I studied Computer Science at the Technical University of Dortmund, Germany. In 2002, I received my Doctoral degree from the Faculty of Technology, Bielefeld University, Germany, and in 2010 my Habilitation degree from the Department of Electrical Engineering and Information Sciences, Ruhr-University Bochum, Germany. From 2003 to 2010, I was a Juniorprofessor for Optimization of Adaptive Systems at the Institut für Neuroinformatik, Ruhr-University Bochum. In October 2010, I was appointed professor with special duties in machine learning at DIKU. Since December 2014 I am a full professor at DIKU.

I am director of the SCIENCE AI Centre. You can find a short article about the centre here. I am a co-lead of the Pioneer Centre for Artificial Intelligence, Denmark.

I am a Fellow of ELLIS, European Lab for Learning and Intelligent Systems.

Among others, I serve as an Editor of the German Journal on Artificial Intelligence (KI) and an Associate Editor of the Evolutionary Computation Journal (ECJ) and the Artificial Intelligence Journal (AIJ). You can get free access to AIJ here.

Research Interests

My main research area is Machine Learning.

Currently, I am particularly interested in

support vector machines and other kernel-based methods,
evolution strategies for single- and multi-objective optimization and reinforcement learning,
PAC-Bayesian analysis of ensemble methods,
deep neural networks and stochastic neural networks,

and applications of these methods helping to achieve the sustainable development goals.

Selected Recent Publications

Please click here for a full list. I also maintain a Google scholar profile.

Yi-Shan Wu, Andrés R. Masegosa, Stephan S. Lorenzen, Christian Igel, and Yevgeny Seldin. Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote. Advances in Neural Information Processing Systems (NeurIPS), 2021

Martin Brandt, Compton J. Tucker, Ankit Kariryaa, Kjeld Rasmussen, Christin Abel, Jennifer Small, Jerome Chave, Laura Vang Rasmussen, Pierre Hiernaux, Abdoul Aziz Diouf, Laurent Kergoat, Ole Mertz, Christian Igel, Fabian Gieseke, Johannes Schöning, Sizhuo Li, Katherine Melocik, Jesse Meyer, Scott Sinno, Eric Romero, Erin Glennie, Amandine Montagu, Morgane Dendoncker, and Rasmus Fensholt. An unexpectedly large count of trees in the western Sahara and Sahel. Nature, 2020 popular science summary 10 remarkable discoveries from 2020

Mathias Perslev, Sune Darkner, Lykke Kempfner, Miki Nikolic, Poul Jørgen Jennum, and Christian Igel. U-Sleep: Resilient High-Frequency Sleep Staging. npj Digital Medicine 4, 2021

Steffen Czolbe, Oswin Krause, Ingemar Cox, and Christian Igel. A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model. Advances in Neural Information Processing Systems (NeurIPS), 2020 source code video

Andrés R. Masegosa, Stephan S. Lorenzen, Christian Igel, and Yevgeny Seldin. Second Order PAC-Bayesian Bounds for the Weighted Majority Vote. Advances in Neural Information Processing Systems (NeurIPS), 2020

Mathias Perslev, Michael Hejselbak Jensen, Sune Darkner, Poul Jørgen Jennum, and Christian Igel. U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging. Advances in Neural Information Processing Systems (NeurIPS 2019), 2019 source code

Fabian Gieseke and Christian Igel. Training Big Random Forests with Little Resources. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), pp. 1445-1454, ACM Press, 2018 source code

Jan Kremer, Fei Sha, and Christian Igel. Robust Active Label Correction. International Conference on Artificial Intelligence and Statistics (AISTATS), Proceedings of Machine Learning Research 84, 2018

Niklas Thiemann, Christian Igel, Olivier Wintenberger, and Yevgeny Seldin. A Strongly Quasiconvex PAC-Bayesian Bound. In S. Hanneke and L. Reyzin, eds.: Algorithmic Learning Theory (ALT), Proceedings of Machine Learning Research 76, pp. 466-492, 2017

Oswin Krause, Dídac R. Arbonès, and Christian Igel. CMA-ES with Optimal Covariance Update and Storage Complexity. Advances in Neural Information Processing Systems (NIPS), supplement, 2016

Ürün Dogan, Tobias Glasmachers, and Christian Igel. A Unified View on Multi-class Support Vector Classification. Journal of Machine Learning Research 17(45), pp. 1-32, 2016