Christian Igel

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 98

Top Venues

Bielefeld University, Germany (PHD)

Education History

Bielefeld University, Germany

PHD

Publications

Vishal Nedungadi, Ankit Kariryaa, Stefan Oehmcke, Serge J. Belongie, Christian Igel, Nico Lang
MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning. CoRR (2024)
Pedram Bakhtiarifard, Christian Igel, Raghavendra Selvan
EC-NAS: Energy Consumption Aware Tabular Benchmarks for Neural Architecture Search. ICASSP (2024)
Venkanna Babu Guthula, Stefan Oehmcke, Remigio Chilaule, Hui Zhang, Nico Lang, Ankit Kariryaa, Johan Mottelson, Christian Igel
Nacala-Roof-Material: Drone Imagery for Roof Detection, Classification, and Segmentation to Support Mosquito-borne Disease Risk Assessment. CoRR (2024)
Dustin Wright, Christian Igel, Raghavendra Selvan
BMRS: Bayesian Model Reduction for Structured Pruning. CoRR (2024)
Matthias Freiberger, Peter Kun, Christian Igel, Anders Sundnes Løvlie, Sebastian Risi
Fooling Contrastive Language-Image Pre-Trained Models with CLIPMasterPrints. Trans. Mach. Learn. Res. 2024 (2024)
Nick Hauptvogel, Christian Igel
Bayesian vs. PAC-Bayesian Deep Neural Network Ensembles. CoRR (2024)
Raghavendra Selvan, Bob Pepin, Christian Igel, Gabrielle Samuel, Erik B. Dam
Equity through Access: A Case for Small-scale Deep Learning. CoRR (2024)
Philip Enevoldsen, Christian Gundersen, Nico Lang, Serge J. Belongie, Christian Igel
Familiarity-Based Open-Set Recognition Under Adversarial Attacks. CoRR (2023)
Lei Li, Tianfang Zhang, Stefan Oehmcke, Fabian Gieseke, Christian Igel
BuildSeg: A General Framework for the Segmentation of Buildings. CoRR (2023)
Christian Igel
Smooth Monotonic Networks. CoRR (2023)
Dustin Wright, Christian Igel, Gabrielle Samuel, Raghavendra Selvan
Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI. CoRR (2023)
Christian Igel, Stefan Oehmcke
Remember to Correct the Bias When Using Deep Learning for Regression! Künstliche Intell. 37 (1) (2023)
Hui Zhang, Ankit Kariryaa, Venkanna Babu Guthula, Christian Igel, Stefan Oehmcke
Predicting urban tree cover from incomplete point labels and limited background information. UrbanAI@SIGSPATIAL (2023)
Dimitri Gominski, Ankit Kariryaa, Martin Brandt, Christian Igel, Sizhuo Li, Maurice Mugabowindekwe, Rasmus Fensholt
Benchmarking Individual Tree Mapping with Sub-meter Imagery. CoRR (2023)
Hui Zhang, Ankit Kariryaa, Venkanna Babu Guthula, Christian Igel, Stefan Oehmcke
Predicting urban tree cover from incomplete point labels and limited background information. CoRR (2023)
Rasmus Kær Jørgensen, Oliver Brandt, Mareike Hartmann, Xiang Dai, Christian Igel, Desmond Elliott
MultiFin: A Dataset for Multilingual Financial NLP. EACL (Findings) (2023)
Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze
The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. 84 (2023)
Stephan Sloth Lorenzen, Christian Igel, Mads Nielsen
Information Bottleneck: Exact Analysis of (Quantized) Neural Networks. ICLR (2022)
Lasse Borgholt, Jakob Drachmann Havtorn, Joakim Edin, Lars Maaløe, Christian Igel
A Brief Overview of Unsupervised Neural Speech Representation Learning. CoRR (2022)
Abdelrahman Mohamed, Hung-yi Lee, Lasse Borgholt, Jakob D. Havtorn, Joakim Edin, Christian Igel, Katrin Kirchhoff, Shang-Wen Li, Karen Livescu, Lars Maaløe, Tara N. Sainath, Shinji Watanabe
Self-Supervised Speech Representation Learning: A Review. CoRR (2022)
Pengfei Diao, Akshay Pai, Christian Igel, Christian Hedeager Krag
Histogram-Based Unsupervised Domain Adaptation for Medical Image Classification. MICCAI (8) (2022)
Lei Li, Tianfang Zhang, Stefan Oehmcke, Fabian Gieseke, Christian Igel
Mask-FPAN: Semi-Supervised Face Parsing in the Wild With De-Occlusion and UV GAN. CoRR (2022)
Pedram Bakhtiarifard, Christian Igel, Raghavendra Selvan
Energy Consumption-Aware Tabular Benchmarks for Neural Architecture Search. CoRR (2022)
Tianfang Zhang, Lei Li, Christian Igel, Stefan Oehmcke, Fabian Gieseke, Zhenming Peng
LR-CSNet: Low-Rank Deep Unfolding Network for Image Compressive Sensing. CoRR (2022)
Abdelrahman Mohamed, Hung-yi Lee, Lasse Borgholt, Jakob D. Havtorn, Joakim Edin, Christian Igel, Katrin Kirchhoff, Shang-Wen Li, Karen Livescu, Lars Maaløe, Tara N. Sainath, Shinji Watanabe
Self-Supervised Speech Representation Learning: A Review. IEEE J. Sel. Top. Signal Process. 16 (6) (2022)
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 Søgaard
Date Recognition in Historical Parish Records. ICFHR (2022)
Christian Igel, Stefan Oehmcke
Remember to correct the bias when using deep learning for regression! CoRR (2022)
Rasmus Kær Jørgensen, Fiammetta Caccavale, Christian Igel, Anders Søgaard
Are Multilingual Sentiment Models Equally Right for the Right Reasons? BlackboxNLP@EMNLP (2022)
Stefan Oehmcke, Lei Li, Jaime C. Revenga, Thomas Nord-Larsen, Katerina Trepekli, Fabian Gieseke, Christian Igel
Deep learning based 3D point cloud regression for estimating forest biomass. SIGSPATIAL/GIS (2022)
Jaime C. Revenga, Katerina Trepekli, Stefan Oehmcke, Rasmus Jensen, Lei Li, Christian Igel, Fabian Gieseke, Thomas Friborg
Above-Ground Biomass Prediction for Croplands at a Sub-Meter Resolution Using UAV-LiDAR and Machine Learning Methods. Remote. Sens. 14 (16) (2022)
Lasse Borgholt, Tycho M. S. Tax, Jakob D. Havtorn, Lars Maaløe, Christian Igel
On Scaling Contrastive Representations for Low-Resource Speech Recognition. ICASSP (2021)
Svetlana Kutuzova, Oswin Krause, Douglas McCloskey, Mads Nielsen, Christian Igel
Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts. CoRR (2021)
Yi-Shan Wu, Andrés R. Masegosa, Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin
Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote. CoRR (2021)
Christian Igel
Data, Knowledge, and Computation. Künstliche Intell. 35 (3) (2021)
Mathias Perslev, Sune Darkner, Lykke Kempfner, Miki Nikolic, Poul Jørgen Jennum, Christian Igel
U-Sleep: resilient high-frequency sleep staging. npj Digit. Medicine 4 (2021)
Lasse Borgholt, Jakob Drachmann Havtorn, Zeljko Agic, Anders Søgaard, Lars Maaløe, Christian Igel
Do End-to-End Speech Recognition Models Care About Context? CoRR (2021)
Yi-Shan Wu, Andrés R. Masegosa, Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin
Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote. NeurIPS (2021)
Stephan Sloth Lorenzen, Christian Igel, Mads Nielsen
Information Bottleneck: Exact Analysis of (Quantized) Neural Networks. CoRR (2021)
Lasse Borgholt, Jakob Drachmann Havtorn, Mostafa Abdou, Joakim Edin, Lars Maaløe, Anders Søgaard, Christian Igel
Do We Still Need Automatic Speech Recognition for Spoken Language Understanding? CoRR (2021)
Stefan Oehmcke, Lei Li, Jaime Revenga, Thomas Nord-Larsen, Katerina Trepekli, Fabian Gieseke, Christian Igel
Deep Learning Based 3D Point Cloud Regression for Estimating Forest Biomass. CoRR (2021)
Lasse Borgholt, Tycho Max Sylvester Tax, Jakob Drachmann Havtorn, Lars Maaløe, Christian Igel
On Scaling Contrastive Representations for Low-Resource Speech Recognition. CoRR (2021)
Kai Brügge, Asja Fischer, Christian Igel
On the convergence of the Metropolis algorithm with fixed-order updates for multivariate binary probability distributions. AISTATS (2021)
Rasmus Kær Jørgensen, Christian Igel
Machine learning for financial transaction classification across companies using character-level word embeddings of text fields. Intell. Syst. Account. Finance Manag. 28 (3) (2021)
Andrés R. Masegosa, Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote. CoRR (2020)
Steffen Czolbe, Oswin Krause, Ingemar J. Cox, Christian Igel
A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model. CoRR (2020)
Andrés R. Masegosa, Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote. NeurIPS (2020)
Oswin Krause, Asja Fischer, Christian Igel
Algorithms for estimating the partition function of restricted Boltzmann machines. Artif. Intell. 278 (2020)
Ürün Dogan, Aniket Anand Deshmukh, Marcin Machura, Christian Igel
Label-Similarity Curriculum Learning. ECCV (29) (2020)
Kai Brügge, Asja Fischer, Christian Igel
On the convergence of the Metropolis algorithm with fixed-order updates for multivariate binary probability distributions. CoRR (2020)
Oswin Krause, Asja Fischer, Christian Igel
Algorithms for Estimating the Partition Function of Restricted Boltzmann Machines (Extended Abstract). IJCAI (2020)
Arjun D. Desai, Francesco Calivá, Claudia Iriondo, Naji Khosravan, Aliasghar Mortazi, Sachin Jambawalikar, Drew A. Torigian, Jutta Ellermann, Mehmet Akçakaya, Ulas Bagci, Radhika Tibrewala, Io Flament, Matthew O'Brien, Sharmila Majumdar, Mathias Perslev, Akshay Pai, Christian Igel, Erik B. Dam, Sibaji Gaj, Mingrui Yang, Kunio Nakamura, Xiaojuan Li, Cem M. Deniz, Vladimir Juras, Ravinder Regatte, Garry Gold, Brian A. Hargreaves, Valentina Pedoia, Akshay S. Chaudhari
The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset. CoRR (2020)
Lasse Borgholt, Jakob D. Havtorn, Zeljko Agic, Anders Søgaard, Lars Maaløe, Christian Igel
Do End-to-End Speech Recognition Models Care About Context? INTERSPEECH (2020)
Steffen Czolbe, Oswin Krause, Ingemar J. Cox, Christian Igel
A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model. NeurIPS (2020)
Mauricio Orbes-Arteaga, M. Jorge Cardoso, Lauge Sørensen, Christian Igel, Sébastien Ourselin, Marc Modat, Mads Nielsen, Akshay Pai
Knowledge Distillation for Semi-supervised Domain Adaptation. OR/MLCN@MICCAI (2019)
Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin
On PAC-Bayesian bounds for random forests. Mach. Learn. 108 (8-9) (2019)
Mauricio Orbes-Arteaga, M. Jorge Cardoso, Lauge Sørensen, Christian Igel, Sébastien Ourselin, Marc Modat, Mads Nielsen, Akshay Pai
Knowledge distillation for semi-supervised domain adaptation. CoRR (2019)
Thorbjørn Louring Koch, Mathias Perslev, Christian Igel, Sami Sebastian Brandt
Accurate Segmentation of Dental Panoramic Radiographs with U-NETS. ISBI (2019)
Mauricio Orbes-Arteaga, Lauge Sørensen, Manuel Jorge Cardoso, Marc Modat, Sébastien Ourselin, Stefan Sommer, Mads Nielsen, Christian Igel, Akshay Pai
PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation. Medical Imaging: Image Processing (2019)
Mathias Perslev, Michael Hejselbak Jensen, Sune Darkner, Poul Jørgen Jennum, Christian Igel
U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging. CoRR (2019)
Mathias Perslev, Michael Hejselbak Jensen, Sune Darkner, Poul Jørgen Jennum, Christian Igel
U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging. NeurIPS (2019)
Mathias Perslev, Erik Bjørnager Dam, Akshay Pai, Christian Igel
One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation. MICCAI (2) (2019)
Ürün Dogan, Aniket Anand Deshmukh, Marcin Machura, Christian Igel
Label-similarity Curriculum Learning. CoRR (2019)
Mathias Perslev, Erik Bjørnager Dam, Akshay Pai, Christian Igel
One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation. CoRR (2019)
Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin
On PAC-Bayesian Bounds for Random Forests. CoRR (2018)
Jan Kremer, Fei Sha, Christian Igel
Robust Active Label Correction. AISTATS (2018)
Dídac Rodríguez Arbonès, Nataliia Y. Sergiienko, Boyin Ding, Oswin Krause, Christian Igel, Markus Wagner
Sparse Incomplete LU-Decomposition for Wave Farm Designs Under Realistic Conditions. PPSN (1) (2018)
Mauricio Orbes-Arteaga, Lauge Sørensen, Manuel Jorge Cardoso, Marc Modat, Sébastien Ourselin, Stefan Sommer, Mads Nielsen, Christian Igel, Akshay Pai
PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation. CoRR (2018)
Fabian Gieseke, Cosmin Eugen Oancea, Ashish Mahabal, Christian Igel, Tom Heskes
Bigger Buffer k-d Trees on Multi-Many-Core Systems. VECPAR (2018)
Fabian Gieseke, Christian Igel
Training Big Random Forests with Little Resources. CoRR (2018)
Ciprian Florescu, Christian Igel
Resilient Backpropagation (Rprop) for Batch-learning in TensorFlow. ICLR (Workshop) (2018)
Fabian Gieseke, Christian Igel
Training Big Random Forests with Little Resources. KDD (2018)
Oswin Krause, Asja Fischer, Christian Igel
Population-Contrastive-Divergence: Does consistency help with RBM training? Pattern Recognit. Lett. 102 (2018)
Fabian Gieseke, Kai Lars Polsterer, Ashish Mahabal, Christian Igel, Tom Heskes
Massively-parallel best subset selection for ordinary least-squares regression. SSCI (2017)
Carola Doerr, Christian Igel, Lothar Thiele, Xin Yao
Theory of Randomized Optimization Heuristics (Dagstuhl Seminar 17191). Dagstuhl Reports 7 (5) (2017)
Marc Schlipsing, Jan Salmen, Marc Tschentscher, Christian Igel
Adaptive pattern recognition in real-time video-based soccer analysis. J. Real Time Image Process. 13 (2) (2017)
Jan Kremer, Kristoffer Stensbo-Smidt, Fabian Gieseke, Kim Steenstrup Pedersen, Christian Igel
Big Universe, Big Data: Machine Learning and Image Analysis for Astronomy. IEEE Intell. Syst. 32 (2) (2017)
Jan Kremer, Kristoffer Stensbo-Smidt, Fabian Gieseke, Kim Steenstrup Pedersen, Christian Igel
Big Universe, Big Data: Machine Learning and Image Analysis for Astronomy. CoRR (2017)
Christian Igel
Editorial - Project Reports. Künstliche Intell. 31 (1) (2017)
Niklas Thiemann, Christian Igel, Olivier Wintenberger, Yevgeny Seldin
A Strongly Quasiconvex PAC-Bayesian Bound. ALT (2017)
Fabian Gieseke, Cosmin E. Oancea, Christian Igel
bufferkdtree: A Python library for massive nearest neighbor queries on multi-many-core devices. Knowl. Based Syst. 120 (2017)
Oswin Krause, Tobias Glasmachers, Christian Igel
Qualitative and Quantitative Assessment of Step Size Adaptation Rules. FOGA (2017)
Oswin Krause, Dídac Rodríguez Arbonès, Christian Igel
CMA-ES with Optimal Covariance Update and Storage Complexity. NIPS (2016)
Kai Lars Polsterer, Fabian Gieseke, Christian Igel, Bernd Doser, Nikolaos Gianniotis
Parallelized rotation and flipping INvariant Kohonen maps (PINK) on GPUs. ESANN (2016)
Niklas Thiemann, Christian Igel, Yevgeny Seldin
PAC-Bayesian Aggregation without Cross-Validation. CoRR (2016)
Ürün Dogan, Tobias Glasmachers, Christian Igel
A Unified View on Multi-class Support Vector Classification. J. Mach. Learn. Res. 17 (2016)
Michiel Kallenberg, Mads Nielsen, Katharina Holland, Nico Karssemeijer, Christian Igel, Martin Lillholm
Learning Density Independent Texture Features. Digital Mammography / IWDM (2016)
Michiel Kallenberg, Kersten Petersen, Mads Nielsen, Andrew Y. Ng, Pengfei Diao, Christian Igel, Celine M. Vachon, Katharina Holland, Rikke Rass Winkel, Nico Karssemeijer, Martin Lillholm
Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring. IEEE Trans. Medical Imaging 35 (5) (2016)
Matthias Tuma, Valdemar Rorbech, Mark Prior, Christian Igel
Integrated Optimization of Long-Range Underwater Signal Detection, Feature Extraction, and Classification for Nuclear Treaty Monitoring. IEEE Trans. Geosci. Remote. Sens. 54 (6) (2016)
Lars Lau Rakêt, Britta Grimme, Gregor Schöner, Christian Igel, Bo Markussen
Separating Timing, Movement Conditions and Individual Differences in the Analysis of Human Movement. PLoS Comput. Biol. 12 (9) (2016)
Oswin Krause, Tobias Glasmachers, Nikolaus Hansen, Christian Igel
Unbounded Population MO-CMA-ES for the Bi-Objective BBOB Test Suite. GECCO (Companion) (2016)
Oswin Krause, Asja Fischer, Christian Igel
Population-Contrastive-Divergence: Does Consistency help with RBM training? CoRR (2015)
Fabian Gieseke, Cosmin Eugen Oancea, Ashish Mahabal, Christian Igel, Tom Heskes
Bigger Buffer k-d Trees on Multi-Many-Core Systems. CoRR (2015)
Benjamin Doerr, Nikolaus Hansen, Christian Igel, Lothar Thiele
Theory of Evolutionary Algorithms (Dagstuhl Seminar 15211). Dagstuhl Reports 5 (5) (2015)
Nicolae-Bogdan Sara, Rasmus Halland, Christian Igel, Stephen Alstrup
High-School Dropout Prediction Using Machine Learning: A Danish Large-scale Study. ESANN (2015)
Oswin Krause, Christian Igel
A More Efficient Rank-one Covariance Matrix Update for Evolution Strategies. FOGA (2015)
Søren Frejstrup Maibing, Christian Igel
Computational Complexity of Linear Large Margin Classification With Ramp Loss. AISTATS (2015)
Jan Kremer, Fabian Gieseke, Kim Steenstrup Pedersen, Christian Igel
Nearest neighbor density ratio estimation for large-scale applications in astronomy. Astron. Comput. 12 (2015)
Asja Fischer, Christian Igel
A bound for the convergence rate of parallel tempering for sampling restricted Boltzmann machines. Theor. Comput. Sci. 598 (2015)
Jan Kremer, Kim Steenstrup Pedersen, Christian Igel
Active learning with support vector machines. WIREs Data Mining Knowl. Discov. 4 (4) (2014)
Asja Fischer, Christian Igel
Training restricted Boltzmann machines: An introduction. Pattern Recognit. 47 (1) (2014)

Christian Igel.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Christian Igel