Christian Igel

225 papers A* 14A 14B 24C 7Misc 2Journal 118Unranked 38
YearRankTypeTitle / Venue / Authors
2026 J jnl
MMEarth-Bench: Global Model Adaptation via Multimodal Test-Time Training.
CoRR
Lucia Gordon, Serge J. Belongie, Christian Igel, Nico Lang
2025 J jnl
A Text-To-Text Alignment Algorithm for Better Evaluation of Modern Speech Recognition Systems.
CoRR
Lasse Borgholt, Jakob D. Havtorn, Christian Igel, Lars Maaløe, Zheng-Hua Tan
2025 J jnl
Climate And Resource Awareness is Imperative to Achieving Sustainable AI (and Preventing a Global AI Arms Race).
CoRR
Pedram Bakhtiarifard, Pinar Tözün, Christian Igel, Raghavendra Selvan
2025 — conf
Demosaicing and Neural Network Based Image Reconstruction in the Presence of Noise.
SCIA (2)
Gustav Emil Mark-Hansen, Frederik Henriques Altmann, Christian Igel, Ankit Kariryaa
2025 J jnl
Editorial.
Künstliche Intell.
Christian Igel
2025 J jnl
Efficiency Is Not Enough: A Critical Perspective on Environmentally Sustainable AI.
Commun. ACM
Dustin Wright, Christian Igel, Gabrielle Samuel, Raghavendra Selvan
2025 — conf
Familiarity-Based Open-Set Recognition Under Adversarial Attacks.
NLDL
Philip Enevoldsen, Christian Gundersen, Nico Lang, Serge J. Belongie, Christian Igel
2025 J jnl
Multi-modal classification of forest biodiversity potential from 2D orthophotos and 3D airborne laser scanning point clouds.
CoRR
Simon Buus Jensen, Stefan Oehmcke, Andreas Møgelmose, Meysam Madadi, Christian Igel, Sergio Escalera, Thomas B. Moeslund
2025 — conf
NEMt: Fast Targeted Explanations for Medical Image Models via Neural Explanation Masks.
NLDL
Bjørn Leth Møller, Sepideh Amiri, Christian Igel, Kristoffer Knutsen Wickstrøm, Robert Jenssen, Matthias Keicher, Mohammad Farid Azampour, Nassir Navab, Bulat Ibragimov
2025 — conf
PePR: Performance Per Resource Unit as a Metric to Promote Small-scale Deep Learning.
NLDL
Raghavendra Selvan, Bob Pepin, Christian Igel, Gabrielle Samuel, Erik B. Dam
2025 J jnl
SuperF: Neural Implicit Fields for Multi-Image Super-Resolution.
CoRR
Sander Riisøen Jyhne, Christian Igel, Morten Goodwin, Per-Arne Andersen, Serge J. Belongie, Nico Lang
2024 A* conf
BMRS: Bayesian Model Reduction for Structured Pruning.
NeurIPS
Dustin Wright, Christian Igel, Raghavendra Selvan
2024 J jnl
BMRS: Bayesian Model Reduction for Structured Pruning.
CoRR
Dustin Wright, Christian Igel, Raghavendra Selvan
2024 J jnl
Bayesian vs. PAC-Bayesian Deep Neural Network Ensembles.
CoRR
Nick Hauptvogel, Christian Igel
2024 J jnl
Building an AI Support Tool for Real-Time Ulcerative Colitis Diagnosis.
Künstliche Intell.
Bjørn Leth Møller, Bobby Zhao Sheng Lo, Johan Burisch, Flemming Bendtsen, Ida Vind, Bulat Ibragimov, Christian Igel
2024 Misc conf
EC-NAS: Energy Consumption Aware Tabular Benchmarks for Neural Architecture Search.
ICASSP
Pedram Bakhtiarifard, Christian Igel, Raghavendra Selvan
2024 J jnl
Equity through Access: A Case for Small-scale Deep Learning.
CoRR
Raghavendra Selvan, Bob Pepin, Christian Igel, Gabrielle Samuel, Erik B. Dam
2024 A* conf
Finding NEM-U: Explaining unsupervised representation learning through neural network generated explanation masks.
ICML
Bjørn Leth Møller, Christian Igel, Kristoffer Knutsen Wickstrøm, Jon Sporring, Robert Jenssen, Bulat Ibragimov
2024 J jnl
Fooling Contrastive Language-Image Pre-Trained Models with CLIPMasterPrints.
Trans. Mach. Learn. Res.
Matthias Freiberger, Peter Kun, Christian Igel, Anders Sundnes Løvlie, Sebastian Risi
2024 A* conf
From Coarse to Fine-Grained Open-Set Recognition.
CVPR
Nico Lang, Vésteinn Snæbjarnarson, Elijah Cole, Oisin Mac Aodha, Christian Igel, Serge J. Belongie
2024 J jnl
MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning.
CoRR
Vishal Nedungadi, Ankit Kariryaa, Stefan Oehmcke, Serge J. Belongie, Christian Igel, Nico Lang
2024 — conf
MMEarth: Exploring Multi-modal Pretext Tasks for Geospatial Representation Learning.
ECCV (64)
Vishal Nedungadi, Ankit Kariryaa, Stefan Oehmcke, Serge J. Belongie, Christian Igel, Nico Lang
2024 J jnl
Nacala-Roof-Material: Drone Imagery for Roof Detection, Classification, and Segmentation to Support Mosquito-borne Disease Risk Assessment.
CoRR
Venkanna Babu Guthula, Stefan Oehmcke, Remigio Chilaule, Hui Zhang, Nico Lang, Ankit Kariryaa, Johan Mottelson, Christian Igel
2024 A* conf
Smooth Min-Max Monotonic Networks.
ICML
Christian Igel
2024 J jnl
When Can Memorization Improve Fairness?
CoRR
Bob Pepin, Christian Igel, Raghavendra Selvan
2023 J jnl
Benchmarking Individual Tree Mapping with Sub-meter Imagery.
CoRR
Dimitri Gominski, Ankit Kariryaa, Martin Brandt, Christian Igel, Sizhuo Li, Maurice Mugabowindekwe, Rasmus Fensholt
2023 J jnl
BuildSeg: A General Framework for the Segmentation of Buildings.
CoRR
Lei Li, Tianfang Zhang, Stefan Oehmcke, Fabian Gieseke, Christian Igel
2023 J jnl
Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI.
CoRR
Dustin Wright, Christian Igel, Gabrielle Samuel, Raghavendra Selvan
2023 J jnl
Familiarity-Based Open-Set Recognition Under Adversarial Attacks.
CoRR
Philip Enevoldsen, Christian Gundersen, Nico Lang, Serge J. Belongie, Christian Igel
2023 — conf
MultiFin: A Dataset for Multilingual Financial NLP.
EACL (Findings)
Rasmus Kær Jørgensen, Oliver Brandt, Mareike Hartmann, Xiang Dai, Christian Igel, Desmond Elliott
2023 — conf
Predicting urban tree cover from incomplete point labels and limited background information.
UrbanAI@SIGSPATIAL
Hui Zhang, Ankit Kariryaa, Venkanna Babu Guthula, Christian Igel, Stefan Oehmcke
2023 J jnl
Predicting urban tree cover from incomplete point labels and limited background information.
CoRR
Hui Zhang, Ankit Kariryaa, Venkanna Babu Guthula, Christian Igel, Stefan Oehmcke
2023 J jnl
Remember to Correct the Bias When Using Deep Learning for Regression!
Künstliche Intell.
Christian Igel, Stefan Oehmcke
2023 J jnl
Smooth Monotonic Networks.
CoRR
Christian Igel
2023 J jnl
The Liver Tumor Segmentation Benchmark (LiTS).
Medical Image Anal.
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
2022 J jnl
A Brief Overview of Unsupervised Neural Speech Representation Learning.
CoRR
Lasse Borgholt, Jakob Drachmann Havtorn, Joakim Edin, Lars Maaløe, Christian Igel
2022 J jnl
Above-Ground Biomass Prediction for Croplands at a Sub-Meter Resolution Using UAV-LiDAR and Machine Learning Methods.
Remote. Sens.
Jaime C. Revenga, Katerina Trepekli, Stefan Oehmcke, Rasmus Jensen, Lei Li, Christian Igel, Fabian Gieseke, Thomas Friborg
2022 — conf
Are Multilingual Sentiment Models Equally Right for the Right Reasons?
BlackboxNLP@EMNLP
Rasmus Kær Jørgensen, Fiammetta Caccavale, Christian Igel, Anders Søgaard
2022 B conf
Date Recognition in Historical Parish Records.
ICFHR
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
2022 — conf
Deep learning based 3D point cloud regression for estimating forest biomass.
SIGSPATIAL/GIS
Stefan Oehmcke, Lei Li, Jaime C. Revenga, Thomas Nord-Larsen, Katerina Trepekli, Fabian Gieseke, Christian Igel
2022 J jnl
Energy Consumption-Aware Tabular Benchmarks for Neural Architecture Search.
CoRR
Pedram Bakhtiarifard, Christian Igel, Raghavendra Selvan
2022 — conf
Histogram-Based Unsupervised Domain Adaptation for Medical Image Classification.
MICCAI (8)
Pengfei Diao, Akshay Pai, Christian Igel, Christian Hedeager Krag
2022 A* conf
Information Bottleneck: Exact Analysis of (Quantized) Neural Networks.
ICLR
Stephan Sloth Lorenzen, Christian Igel, Mads Nielsen
2022 J jnl
LR-CSNet: Low-Rank Deep Unfolding Network for Image Compressive Sensing.
CoRR
Tianfang Zhang, Lei Li, Christian Igel, Stefan Oehmcke, Fabian Gieseke, Zhenming Peng
2022 J jnl
Remember to correct the bias when using deep learning for regression!
CoRR
Christian Igel, Stefan Oehmcke
2022 J jnl
Self-Supervised Speech Representation Learning: A Review.
CoRR
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
2022 J jnl
Self-Supervised Speech Representation Learning: A Review.
IEEE J. Sel. Top. Signal Process.
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
2021 A* conf
Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote.
NeurIPS
Yi-Shan Wu, Andrés R. Masegosa, Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin
2021 J jnl
Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote.
CoRR
Yi-Shan Wu, Andrés R. Masegosa, Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin
2021 J jnl
Data, Knowledge, and Computation.
Künstliche Intell.
Christian Igel
2021 J jnl
Deep Learning Based 3D Point Cloud Regression for Estimating Forest Biomass.
CoRR
Stefan Oehmcke, Lei Li, Jaime C. Revenga, Thomas Nord-Larsen, Katerina Trepekli, Fabian Gieseke, Christian Igel
2021 J jnl
Do End-to-End Speech Recognition Models Care About Context?
CoRR
Lasse Borgholt, Jakob Drachmann Havtorn, Zeljko Agic, Anders Søgaard, Lars Maaløe, Christian Igel
2021 J jnl
Do We Still Need Automatic Speech Recognition for Spoken Language Understanding?
CoRR
Lasse Borgholt, Jakob Drachmann Havtorn, Mostafa Abdou, Joakim Edin, Lars Maaløe, Anders Søgaard, Christian Igel
2021 J jnl
Information Bottleneck: Exact Analysis of (Quantized) Neural Networks.
CoRR
Stephan Sloth Lorenzen, Christian Igel, Mads Nielsen
2021 J jnl
Machine learning for financial transaction classification across companies using character-level word embeddings of text fields.
Intell. Syst. Account. Finance Manag.
Rasmus Kær Jørgensen, Christian Igel
2021 J jnl
Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts.
CoRR
Svetlana Kutuzova, Oswin Krause, Douglas McCloskey, Mads Nielsen, Christian Igel
2021 Misc conf
On Scaling Contrastive Representations for Low-Resource Speech Recognition.
ICASSP
Lasse Borgholt, Tycho M. S. Tax, Jakob D. Havtorn, Lars Maaløe, Christian Igel
2021 J jnl
On Scaling Contrastive Representations for Low-Resource Speech Recognition.
CoRR
Lasse Borgholt, Tycho Max Sylvester Tax, Jakob Drachmann Havtorn, Lars Maaløe, Christian Igel
2021 A conf
On the convergence of the Metropolis algorithm with fixed-order updates for multivariate binary probability distributions.
AISTATS
Kai Brügge, Asja Fischer, Christian Igel
2021 J jnl
U-Sleep: resilient high-frequency sleep staging.
npj Digit. Medicine
Mathias Perslev, Sune Darkner, Lykke Kempfner, Miki Nikolic, Poul Jørgen Jennum, Christian Igel
2020 A* conf
A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model.
NeurIPS
Steffen Czolbe, Oswin Krause, Ingemar J. Cox, Christian Igel
2020 J jnl
A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model.
CoRR
Steffen Czolbe, Oswin Krause, Ingemar J. Cox, Christian Igel
2020 A* conf
Algorithms for Estimating the Partition Function of Restricted Boltzmann Machines (Extended Abstract).
IJCAI
Oswin Krause, Asja Fischer, Christian Igel
2020 J jnl
Algorithms for estimating the partition function of restricted Boltzmann machines.
Artif. Intell.
Oswin Krause, Asja Fischer, Christian Igel
2020 A conf
Do End-to-End Speech Recognition Models Care About Context?
INTERSPEECH
Lasse Borgholt, Jakob D. Havtorn, Zeljko Agic, Anders Søgaard, Lars Maaløe, Christian Igel
2020 — conf
Label-Similarity Curriculum Learning.
ECCV (29)
Ürün Dogan, Aniket Anand Deshmukh, Marcin Machura, Christian Igel
2020 J jnl
On the convergence of the Metropolis algorithm with fixed-order updates for multivariate binary probability distributions.
CoRR
Kai Brügge, Asja Fischer, Christian Igel
2020 A* conf
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote.
NeurIPS
Andrés R. Masegosa, Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin
2020 J jnl
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote.
CoRR
Andrés R. Masegosa, Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin
2020 J jnl
The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset.
CoRR
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
2019 — conf
Accurate Segmentation of Dental Panoramic Radiographs with U-NETS.
ISBI
Thorbjørn Louring Koch, Mathias Perslev, Christian Igel, Sami Sebastian Brandt
2019 — conf
Knowledge Distillation for Semi-supervised Domain Adaptation.
OR/MLCN@MICCAI
Mauricio Orbes-Arteaga, M. Jorge Cardoso, Lauge Sørensen, Christian Igel, Sébastien Ourselin, Marc Modat, Mads Nielsen, Akshay Pai
2019 J jnl
Knowledge distillation for semi-supervised domain adaptation.
CoRR
Mauricio Orbes-Arteaga, M. Jorge Cardoso, Lauge Sørensen, Christian Igel, Sébastien Ourselin, Marc Modat, Mads Nielsen, Akshay Pai
2019 J jnl
Label-similarity Curriculum Learning.
CoRR
Ürün Dogan, Aniket Anand Deshmukh, Marcin Machura, Christian Igel
2019 J jnl
On PAC-Bayesian bounds for random forests.
Mach. Learn.
Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin
2019 — conf
One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation.
MICCAI (2)
Mathias Perslev, Erik Bjørnager Dam, Akshay Pai, Christian Igel
2019 J jnl
One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation.
CoRR
Mathias Perslev, Erik Bjørnager Dam, Akshay Pai, Christian Igel
2019 B conf
PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation.
Image Processing
Mauricio Orbes-Arteaga, Lauge Sørensen, Manuel Jorge Cardoso, Marc Modat, Sébastien Ourselin, Stefan Sommer, Mads Nielsen, Christian Igel, Akshay Pai
2019 A* conf
U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging.
NeurIPS
Mathias Perslev, Michael Hejselbak Jensen, Sune Darkner, Poul Jørgen Jennum, Christian Igel
2019 J jnl
U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging.
CoRR
Mathias Perslev, Michael Hejselbak Jensen, Sune Darkner, Poul Jørgen Jennum, Christian Igel
2018 — conf
Bigger Buffer k-d Trees on Multi-Many-Core Systems.
VECPAR
Fabian Gieseke, Cosmin Eugen Oancea, Ashish Mahabal, Christian Igel, Tom Heskes
2018 J jnl
On PAC-Bayesian Bounds for Random Forests.
CoRR
Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin
2018 J jnl
PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation.
CoRR
Mauricio Orbes-Arteaga, Lauge Sørensen, Manuel Jorge Cardoso, Marc Modat, Sébastien Ourselin, Stefan Sommer, Mads Nielsen, Christian Igel, Akshay Pai
2018 J jnl
Population-Contrastive-Divergence: Does consistency help with RBM training?
Pattern Recognit. Lett.
Oswin Krause, Asja Fischer, Christian Igel
2018 — conf
Resilient Backpropagation (Rprop) for Batch-learning in TensorFlow.
ICLR (Workshop)
Ciprian Florescu, Christian Igel
2018 A conf
Robust Active Label Correction.
AISTATS
Jan Kremer, Fei Sha, Christian Igel
2018 — conf
Sparse Incomplete LU-Decomposition for Wave Farm Designs Under Realistic Conditions.
PPSN (1)
Dídac Rodríguez Arbonès, Nataliia Y. Sergiienko, Boyin Ding, Oswin Krause, Christian Igel, Markus Wagner
2018 A* conf
Training Big Random Forests with Little Resources.
KDD
Fabian Gieseke, Christian Igel
2018 J jnl
Training Big Random Forests with Little Resources.
CoRR
Fabian Gieseke, Christian Igel
2017 B conf
A Strongly Quasiconvex PAC-Bayesian Bound.
ALT
Niklas Thiemann, Christian Igel, Olivier Wintenberger, Yevgeny Seldin
2017 J jnl
Adaptive pattern recognition in real-time video-based soccer analysis.
J. Real Time Image Process.
Marc Schlipsing, Jan Salmen, Marc Tschentscher, Christian Igel
2017 J jnl
Big Universe, Big Data: Machine Learning and Image Analysis for Astronomy.
CoRR
Jan Kremer, Kristoffer Stensbo-Smidt, Fabian Gieseke, Kim Steenstrup Pedersen, Christian Igel
2017 J jnl
Big Universe, Big Data: Machine Learning and Image Analysis for Astronomy.
IEEE Intell. Syst.
Jan Kremer, Kristoffer Stensbo-Smidt, Fabian Gieseke, Kim Steenstrup Pedersen, Christian Igel
2017 — ch.
Characterization of Errors in Deep Learning-Based Brain MRI Segmentation.
Deep Learning for Medical Image Analysis
Akshay Pai, Yuan-Ching Teng, Joseph Blair, Michiel Kallenberg, Erik B. Dam, Stefan Sommer, Christian Igel, Mads Nielsen
2017 J jnl
Editorial - Project Reports.
Künstliche Intell.
Christian Igel
2017 — ch.
Evolutionary Kernel Learning.
Encyclopedia of Machine Learning and Data Mining
Christian Igel
2017 — conf
Massively-parallel best subset selection for ordinary least-squares regression.
SSCI
Fabian Gieseke, Kai Lars Polsterer, Ashish Mahabal, Christian Igel, Tom Heskes
2017 A ed.
Proceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, FOGA 2017, Copenhagen, Denmark, January 12-15, 2017
FOGA
Christian Igel, Dirk Sudholt, Carsten Witt
2017 A conf
Qualitative and Quantitative Assessment of Step Size Adaptation Rules.
FOGA
Oswin Krause, Tobias Glasmachers, Christian Igel
2017 J jnl
Theory of Randomized Optimization Heuristics (Dagstuhl Seminar 17191).
Dagstuhl Reports
Carola Doerr, Christian Igel, Lothar Thiele, Xin Yao
2017 J jnl
bufferkdtree: A Python library for massive nearest neighbor queries on multi-many-core devices.
Knowl. Based Syst.
Fabian Gieseke, Cosmin E. Oancea, Christian Igel
2016 J jnl
A Unified View on Multi-class Support Vector Classification.
J. Mach. Learn. Res.
Ürün Dogan, Tobias Glasmachers, Christian Igel
2016 — conf
CMA-ES with Optimal Covariance Update and Storage Complexity.
NIPS
Oswin Krause, Dídac Rodríguez Arbonès, Christian Igel
2016 J jnl
Integrated Optimization of Long-Range Underwater Signal Detection, Feature Extraction, and Classification for Nuclear Treaty Monitoring.
IEEE Trans. Geosci. Remote. Sens.
Matthias Tuma, Valdemar Rorbech, Mark Prior, Christian Igel
2016 — conf
Learning Density Independent Texture Features.
Digital Mammography / IWDM
Michiel Kallenberg, Mads Nielsen, Katharina Holland, Nico Karssemeijer, Christian Igel, Martin Lillholm
2016 J jnl
PAC-Bayesian Aggregation without Cross-Validation.
CoRR
Niklas Thiemann, Christian Igel, Yevgeny Seldin
2016 B conf
Parallelized rotation and flipping INvariant Kohonen maps (PINK) on GPUs.
ESANN
Kai Lars Polsterer, Fabian Gieseke, Christian Igel, Bernd Doser, Nikolaos Gianniotis
2016 J jnl
Separating Timing, Movement Conditions and Individual Differences in the Analysis of Human Movement.
PLoS Comput. Biol.
Lars Lau Rakêt, Britta Grimme, Gregor Schöner, Christian Igel, Bo Markussen
2016 — conf
Unbounded Population MO-CMA-ES for the Bi-Objective BBOB Test Suite.
GECCO (Companion)
Oswin Krause, Tobias Glasmachers, Nikolaus Hansen, Christian Igel
2016 J jnl
Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring.
IEEE Trans. Medical Imaging
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
2015 A conf
A More Efficient Rank-one Covariance Matrix Update for Evolution Strategies.
FOGA
Oswin Krause, Christian Igel
2015 J jnl
A bound for the convergence rate of parallel tempering for sampling restricted Boltzmann machines.
Theor. Comput. Sci.
Asja Fischer, Christian Igel
2015 J jnl
Bigger Buffer k-d Trees on Multi-Many-Core Systems.
CoRR
Fabian Gieseke, Cosmin Eugen Oancea, Ashish Mahabal, Christian Igel, Tom Heskes
2015 A conf
Computational Complexity of Linear Large Margin Classification With Ramp Loss.
AISTATS
Søren Frejstrup Maibing, Christian Igel
2015 B conf
High-School Dropout Prediction Using Machine Learning: A Danish Large-scale Study.
ESANN
Nicolae-Bogdan Sara, Rasmus Halland, Christian Igel, Stephen Alstrup
2015 J jnl
Nearest neighbor density ratio estimation for large-scale applications in astronomy.
Astron. Comput.
Jan Kremer, Fabian Gieseke, Kim Steenstrup Pedersen, Christian Igel
2015 J jnl
Population-Contrastive-Divergence: Does Consistency help with RBM training?
CoRR
Oswin Krause, Asja Fischer, Christian Igel
2015 J jnl
Theory of Evolutionary Algorithms (Dagstuhl Seminar 15211).
Dagstuhl Reports
Benjamin Doerr, Nikolaus Hansen, Christian Igel, Lothar Thiele
2014 J jnl
Active learning with support vector machines.
WIREs Data Mining Knowl. Discov.
Jan Kremer, Kim Steenstrup Pedersen, Christian Igel
2014 B conf
Automatic FDG-PET-based tumor and metastatic lymph node segmentation in cervical cancer.
Image Processing
Dídac R. Arbonès, Henrik G. Jensen, Annika Loft, Per Munck af Rosenschöld, Anders E. Hansen, Christian Igel, Sune Darkner
2014 A* conf
Buffer k-d Trees: Processing Massive Nearest Neighbor Queries on GPUs.
ICML
Fabian Gieseke, Justin Heinermann, Cosmin E. Oancea, Christian Igel
2014 — ch.
No Free Lunch Theorems: Limitations and Perspectives of Metaheuristics.
Theory and Principled Methods for the Design of Metaheuristics
Christian Igel
2014 B conf
Speedy greedy feature selection: Better redshift estimation via massive parallelism.
ESANN
Fabian Gieseke, Kai Lars Polsterer, Cosmin Eugen Oancea, Christian Igel
2014 J jnl
Training restricted Boltzmann machines: An introduction.
Pattern Recognit.
Asja Fischer, Christian Igel
2013 J jnl
A Note on Generalization Loss When Evolving Adaptive Pattern Recognition Systems.
IEEE Trans. Evol. Comput.
Christian Igel
2013 — conf
Approximation properties of DBNs with binary hidden units and real-valued visible units.
ICML (1)
Oswin Krause, Asja Fischer, Tobias Glasmachers, Christian Igel
2013 — conf
Deep Feature Learning for Knee Cartilage Segmentation Using a Triplanar Convolutional Neural Network.
MICCAI (2)
Adhish Prasoon, Kersten Petersen, Christian Igel, François Lauze, Erik Dam, Mads Nielsen
2013 B conf
Detection of traffic signs in real-world images: The German traffic sign detection benchmark.
IJCNN
Sebastian Houben, Johannes Stallkamp, Jan Salmen, Marc Schlipsing, Christian Igel
2013 J jnl
Echtzeit-Videoanalyse im Fußball - Ein Live-System zum Spieler-Tracking.
Künstliche Intell.
Marc Schlipsing, Jan Salmen, Christian Igel
2013 — conf
Femoral cartilage segmentation in Knee MRI scans using two stage voxel classification.
EMBC
Adhish Prasoon, Christian Igel, Marco Loog, François Lauze, Erik B. Dam, Mads Nielsen
2013 J jnl
Linear feature selection in texture analysis - A PLS based method.
Mach. Vis. Appl.
Joselene Marques, Christian Igel, Martin Lillholm, Erik B. Dam
2013 — conf
Nearest neighbor classification using bottom-k sketches.
IEEE BigData
Søren Dahlgaard, Christian Igel, Mikkel Thorup
2013 — conf
Nearest neighbour regression outperforms model-based prediction of specific star formation rate.
IEEE BigData
Kristoffer Stensbo-Smidt, Christian Igel, Andrew Zirm, Kim Steenstrup Pedersen
2013 C conf
Polynomial Runtime Bounds for Fixed-Rank Unsupervised Least-Squares Classification.
ACML
Fabian Gieseke, Tapio Pahikkala, Christian Igel
2013 A* conf
Shape Index Descriptors Applied to Texture-Based Galaxy Analysis.
ICCV
Kim Steenstrup Pedersen, Kristoffer Stensbo-Smidt, Andrew Zirm, Christian Igel
2013 J jnl
Speeding up many-objective optimization by Monte Carlo approximations.
Artif. Intell.
Karl Bringmann, Tobias Friedrich, Christian Igel, Thomas Voß
2013 J jnl
The flip-the-state transition operator for restricted Boltzmann machines.
Mach. Learn.
Kai Brügge, Asja Fischer, Christian Igel
2012 — conf
A Note on Extending Generalization Bounds for Binary Large-Margin Classifiers to Multiple Classes.
ECML/PKDD (1)
Ürün Dogan, Tobias Glasmachers, Christian Igel
2012 C conf
An Introduction to Restricted Boltzmann Machines.
CIARP
Asja Fischer, Christian Igel
2012 B conf
Cascaded classifier for large-scale data applied to automatic segmentation of articular cartilage.
Image Processing
Adhish Prasoon, Christian Igel, Marco Loog, François Lauze, Erik Dam, Mads Nielsen
2012 J jnl
Evolutionary kernel machines.
Evol. Intell.
Oliver Kramer, Christian Igel, Günter Rudolph
2012 J jnl
Introduction to the Special Issue on Machine Learning for Traffic Sign Recognition.
IEEE Trans. Intell. Transp. Syst.
Johannes Stallkamp, Marc Schlipsing, Jan Salmen, Christian Igel
2012 J jnl
Learning ∈ Artificial Intelligence ∩ Cognitive Technologies ∩ Neural Computation ∩ ...
Künstliche Intell.
Christian Igel
2012 J jnl
Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition.
Neural Networks
Johannes Stallkamp, Marc Schlipsing, Jan Salmen, Christian Igel
2012 — conf
Towards exaggerated emphysema stereotypes.
Computer-Aided Diagnosis
C. Chen, Lauge Sørensen, François Lauze, Christian Igel, Marco Loog, Aasa Feragen, Marleen de Bruijne, Mads Nielsen
2011 J jnl
Bounding the Bias of Contrastive Divergence Learning.
Neural Comput.
Asja Fischer, Christian Igel
2011 J jnl
Huge Music Archives on Mobile Devices.
IEEE Signal Process. Mag.
Holger Blume, Bernd Bischl, Martin Botteck, Christian Igel, Rainer Martin, Günther Rötter, Günter Rudolph, Wolfgang M. Theimer, Igor Vatolkin, Claus Weihs
2011 — conf
Improved Working Set Selection for LaRank.
CAIP (1)
Matthias Tuma, Christian Igel
2011 B conf
Non-linearly increasing resampling in racing algorithms.
ESANN
Verena Heidrich-Meisner, Christian Igel
2011 C conf
Real-Time Estimation of Optical Flow Based on Optimized Haar Wavelet Features.
EMO
Jan Salmen, Lukas Caup, Christian Igel
2011 B conf
The German Traffic Sign Recognition Benchmark: A multi-class classification competition.
IJCNN
Johannes Stallkamp, Marc Schlipsing, Jan Salmen, Christian Igel
2011 A conf
The logarithmic hypervolume indicator.
FOGA
Tobias Friedrich, Karl Bringmann, Thomas Voß, Christian Igel
2011 — conf
Towards exaggerated image stereotypes.
ACPR
Chen Chen, François Lauze, Christian Igel, Aasa Feragen, Marco Loog, Mads Nielsen
2011 B conf
Training RBMs based on the signs of the CD approximation of the log-likelihood derivatives.
ESANN
Asja Fischer, Christian Igel
2010 J jnl
A Dynamic Neural Field Model of Mesoscopic Cortical Activity Captured with Voltage-Sensitive Dye Imaging.
PLoS Comput. Biol.
Valentin Markounikau, Christian Igel, Amiram Grinvald, Dirk Jancke
2010 J jnl
Editorial: Special issue on organic computing.
ACM Trans. Auton. Adapt. Syst.
Rolf P. Würtz, Kirstie L. Bellman, Hartmut Schmeck, Christian Igel
2010 J jnl
Efficient update of the covariance matrix inverse in iterated linear discriminant analysis.
Pattern Recognit. Lett.
Jan Salmen, Marc Schlipsing, Christian Igel
2010 — conf
Empirical Analysis of the Divergence of Gibbs Sampling Based Learning Algorithms for Restricted Boltzmann Machines.
ICANN (3)
Asja Fischer, Christian Igel
2010 — ch.
Evolutionary Kernel Learning.
Encyclopedia of Machine Learning
Christian Igel
2010 B conf
Hydroacoustic Signal Classification Using Kernel Functions for Variable Feature Sets.
ICPR
Matthias Tuma, Christian Igel, Mark Prior
2010 A conf
Improved step size adaptation for the MO-CMA-ES.
GECCO
Thomas Voß, Nikolaus Hansen, Christian Igel
2010 J jnl
Maximum Likelihood Model Selection for 1-Norm Soft Margin SVMs with Multiple Parameters.
IEEE Trans. Pattern Anal. Mach. Intell.
Tobias Glasmachers, Christian Igel
2010 — conf
New Uncertainty Handling Strategies in Multi-objective Evolutionary Optimization.
PPSN (2)
Thomas Voß, Heike Trautmann, Christian Igel
2010 — conf
Scaling up indicator-based MOEAs by approximating the least hypervolume contributor: a preliminary study.
GECCO (Companion)
Thomas Voß, Tobias Friedrich, Karl Bringmann, Christian Igel
2010 J jnl
Structure optimization of reservoir networks.
Log. J. IGPL
Benjamin Roeschies, Christian Igel
2009 J jnl
Efficient covariance matrix update for variable metric evolution strategies.
Mach. Learn.
Thorsten Suttorp, Nikolaus Hansen, Christian Igel
2009 J jnl
Gasteditorial Reinforcement Learning.
Künstliche Intell.
Christian Igel
2009 A* conf
Hoeffding and Bernstein races for selecting policies in evolutionary direct policy search.
ICML
Verena Heidrich-Meisner, Christian Igel
2009 J jnl
Neuroevolution strategies for episodic reinforcement learning.
J. Algorithms
Verena Heidrich-Meisner, Christian Igel
2009 J jnl
Ontogenetic and Phylogenetic Reinforcement Learning.
Künstliche Intell.
Tom Schaul, Daan Wierstra, Faustino J. Gomez, Jürgen Schmidhuber, Christian Igel, Julian Togelius
2009 C conf
Recombination for Learning Strategy Parameters in the MO-CMA-ES.
EMO
Thomas Voß, Nikolaus Hansen, Christian Igel
2009 A conf
Uncertainty handling CMA-ES for reinforcement learning.
GECCO
Verena Heidrich-Meisner, Christian Igel
2008 B conf
Approximation of Gaussian process regression models after training.
ESANN
Thorsten Suttorp, Christian Igel
2008 A conf
Evolution Strategies for Direct Policy Search.
PPSN
Verena Heidrich-Meisner, Christian Igel
2008 — ch.
Genesis of Organic Computing Systems: Coupling Evolution and Learning.
Organic Computing
Christian Igel, Bernhard Sendhoff
2008 J jnl
Registration of CT and Intraoperative 3-D Ultrasound Images of the Spine Using Evolutionary and Gradient-Based Methods.
IEEE Trans. Evol. Comput.
Susanne Winter, Bernhard Brendel, Ioannis Pechlivanis, Kirsten Schmieder, Christian Igel
2008 B conf
Scalarization versus indicator-based selection in multi-objective CMA evolution strategies.
IEEE Congress on Evolutionary Computation
Thomas Voß, Nicola Beume, Günter Rudolph, Christian Igel
2008 J jnl
Second-Order SMO Improves SVM Online and Active Learning.
Neural Comput.
Tobias Glasmachers, Christian Igel
2008 J jnl
Shark.
J. Mach. Learn. Res.
Christian Igel, Verena Heidrich-Meisner, Tobias Glasmachers
2008 B conf
Similarities and differences between policy gradient methods and evolution strategies.
ESANN
Verena Heidrich-Meisner, Christian Igel
2008 A conf
Uncertainty Handling in Model Selection for Support Vector Machines.
PPSN
Tobias Glasmachers, Christian Igel
2008 — conf
Variable Metric Reinforcement Learning Methods Applied to the Noisy Mountain Car Problem.
EWRL
Verena Heidrich-Meisner, Christian Igel
2007 J jnl
Covariance Matrix Adaptation for Multi-objective Optimization.
Evol. Comput.
Christian Igel, Nikolaus Hansen, Stefan Roth
2007 J jnl
Evolutionary Optimization of Sequence Kernels for Detection of bacterial gene Starts.
Int. J. Neural Syst.
Britta Mersch, Tobias Glasmachers, Peter Meinicke, Christian Igel
2007 C conf
Evolutionary Optimization ofWavelet Feature Sets for Real-Time Pedestrian Classification.
HIS
Jan Salmen, Thorsten Suttorp, Johann Edelbrunner, Christian Igel
2007 J jnl
Gradient-Based Optimization of Kernel-Target Alignment for Sequence Kernels Applied to Bacterial Gene Start Detection.
IEEE ACM Trans. Comput. Biol. Bioinform.
Christian Igel, Tobias Glasmachers, Britta Mersch, Nico Pfeifer, Peter Meinicke
2007 J jnl
Reducing the Number of Fitness Evaluations in Graph Genetic Programming Using a Canonical Graph Indexed Database.
Evol. Comput.
Jens Niehaus, Christian Igel, Wolfgang Banzhaf
2007 B conf
Reinforcement learning in a nutshell.
ESANN
Verena Heidrich-Meisner, Martin Lauer, Christian Igel, Martin A. Riedmiller
2007 — conf
Resilient Approximation of Kernel Classifiers.
ICANN (1)
Thorsten Suttorp, Christian Igel
2007 C conf
Steady-State Selection and Efficient Covariance Matrix Update in the Multi-objective CMA-ES.
EMO
Christian Igel, Thorsten Suttorp, Nikolaus Hansen
2006 A conf
A computational efficient covariance matrix update and a (1+1)-CMA for evolution strategies.
GECCO
Christian Igel, Thorsten Suttorp, Nikolaus Hansen
2006 — conf
Evolutionary Optimization of Sequence Kernels for Detection of Bacterial Gene Starts.
ICANN (2)
Britta Mersch, Tobias Glasmachers, Peter Meinicke, Christian Igel
2006 J jnl
Maximum-Gain Working Set Selection for SVMs.
J. Mach. Learn. Res.
Tobias Glasmachers, Christian Igel
2006 — ch.
Multi-Objective Neural Network Optimization for Visual Object Detection.
Multi-Objective Machine Learning
Stefan Roth, Alexander Rainer Tassilo Gepperth, Christian Igel
2006 — ch.
Multi-Objective Optimization of Support Vector Machines.
Multi-Objective Machine Learning
Thorsten Suttorp, Christian Igel
2005 J jnl
Evolutionary tuning of multiple SVM parameters.
Neurocomputing
Frauke Friedrichs, Christian Igel
2005 J jnl
Gradient-Based Adaptation of General Gaussian Kernels.
Neural Comput.
Tobias Glasmachers, Christian Igel
2005 J jnl
Making Driver Modeling Attractive.
IEEE Intell. Syst.
Antonio Pellecchia, Christian Igel, Johann Edelbrunner, Gregor Schöner
2005 C conf
Multi-objective Model Selection for Support Vector Machines.
EMO
Christian Igel
2005 — conf
Registrierung von Knochen in 3D-Ultraschall- und CT-Daten: Vergleich verschiedener Optimierungsverfahren.
Bildverarbeitung für die Medizin
Susanne Winter, Bernhard Brendel, Christian Igel
2005 B conf
Synergies between Evolutionary and Neural Computation.
ESANN
Christian Igel, Bernhard Sendhoff
2004 J jnl
A No-Free-Lunch theorem for non-uniform distributions of target functions.
J. Math. Model. Algorithms
Christian Igel, Marc Toussaint
2004 J jnl
Evolutionary Adaptation of Nonlinear Dynamical Systems in Computational Neuroscience.
Genet. Program. Evolvable Mach.
Stefan Schneider, Christian Igel, Christian Klaes, Hubert R. Dinse, Jan C. Wiemer
2004 J jnl
Evolutionary Multi-Objective Optimisation Of Neural Networks For Face Detection.
Int. J. Comput. Intell. Appl.
Stefan Wiegand, Christian Igel, Uwe Handmann
2004 B conf
Evolutionary Optimization of Neural Networks for Face Detection.
ESANN
Stefan Wiegand, Christian Igel, Uwe Handmann
2004 B conf
Evolutionary tuning of multiple SVM parameters.
ESANN
Frauke Friedrichs, Christian Igel
2004 B conf
Protein fold class prediction using neural networks with tailored early-stopping.
IJCNN
Christian Igel, Jutta Gebert, Thomas Wiebringhaus
2004 J jnl
The chaining syllogism in fuzzy logic.
IEEE Trans. Fuzzy Syst.
Christian Igel, Karl-Heinz Temme
2003 — —
Beiträge zum Entwurf neuronaler Systeme.
Christian Igel
2003 J jnl
Empirical evaluation of the improved Rprop learning algorithms.
Neurocomputing
Christian Igel, Michael Hüsken
2003 J jnl
Image processing and behavior planning for intelligent vehicles.
IEEE Trans. Ind. Electron.
Thomas Bücher, Cristóbal Curio, Johann Edelbrunner, Christian Igel, David Kastrup, Iris Leefken, Gesa Lorenz, Axel Steinhage, Werner von Seelen
2003 B conf
Neuroevolution for reinforcement learning using evolution strategies.
IEEE Congress on Evolutionary Computation
Christian Igel
2003 J jnl
Neutrality and self-adaptation.
Nat. Comput.
Christian Igel, Marc Toussaint
2003 J jnl
On classes of functions for which No Free Lunch results hold.
Inf. Process. Lett.
Christian Igel, Marc Toussaint
2003 J jnl
Operator adaptation in evolutionary computation and its application to structure optimization of neural networks.
Neurocomputing
Christian Igel, Martin Kreutz
2003 J jnl
Recent Results on No-Free-Lunch Theorems for Optimization
CoRR
Christian Igel, Marc Toussaint
2002 A conf
Balancing Learning And Evolution.
GECCO
Michael Hüsken, Christian Igel
2002 J jnl
Effects of phenotypic redundancy in structure optimization.
IEEE Trans. Evol. Comput.
Christian Igel, Peter Stagge
2002 J jnl
Evolving field models for inhibition effects in early vision.
Neurocomputing
Christian Igel, Werner von Seelen, Wolfram Erlhagen, Dirk Jancke
2002 J jnl
Neutrality: A Necessity for Self-Adaptation
CoRR
Marc Toussaint, Christian Igel
2002 B conf
Neutrality: a necessity for self-adaptation.
IEEE Congress on Evolutionary Computation
Marc Toussaint, Christian Igel
2001 J jnl
On Classes of Functions for which No Free Lunch Results Hold
CoRR
Christian Igel, Marc Toussaint
2001 J jnl
Optimization of dynamic neural fields.
Neurocomputing
Christian Igel, Wolfram Erlhagen, Dirk Jancke
1999 B conf
Using fitness distributions to improve the evolution of learning structures.
CEC
Christian Igel, Martin Kreutz
1997 — conf
Chaining Syllogism Applied to Fuzzy IF-THEN Rules and Rule Bases.
Fuzzy Days
Christian Igel, Karl-Heinz Temme