default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDChristian Igel
Person information
- affiliation: University of Copenhagen, Copenhagen, Denmark
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j66]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)- [c90]Pedram Bakhtiarifard, Christian Igel, Raghavendra Selvan:
EC-NAS: Energy Consumption Aware Tabular Benchmarks for Neural Architecture Search. ICASSP 2024: 5660-5664 - [c89]Christian Igel:
Smooth Min-Max Monotonic Networks. ICML 2024 - [c88]Bjørn Leth Møller, Christian Igel, Kristoffer Knutsen Wickstrøm, Jon Sporring, Robert Jenssen, Bulat Ibragimov:
Finding NEM-U: Explaining unsupervised representation learning through neural network generated explanation masks. ICML 2024 - [i43]Raghavendra Selvan, Bob Pepin, Christian Igel, Gabrielle Samuel, Erik B. Dam:
Equity through Access: A Case for Small-scale Deep Learning. CoRR abs/2403.12562 (2024) - [i42]Vishal Nedungadi, Ankit Kariryaa, Stefan Oehmcke, Serge J. Belongie, Christian Igel, Nico Lang:
MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning. CoRR abs/2405.02771 (2024) - [i41]Dustin Wright, Christian Igel, Raghavendra Selvan:
BMRS: Bayesian Model Reduction for Structured Pruning. CoRR abs/2406.01345 (2024) - [i40]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 abs/2406.04949 (2024) - [i39]Nick Hauptvogel, Christian Igel:
Bayesian vs. PAC-Bayesian Deep Neural Network Ensembles. CoRR abs/2406.05469 (2024) - 2023
- [j65]Christian Igel
, Stefan Oehmcke:
Remember to Correct the Bias When Using Deep Learning for Regression! Künstliche Intell. 37(1): 33-40 (2023) - [j64]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: 102680 (2023) - [c87]Rasmus Kær Jørgensen, Oliver Brandt, Mareike Hartmann, Xiang Dai, Christian Igel, Desmond Elliott:
MultiFin: A Dataset for Multilingual Financial NLP. EACL (Findings) 2023: 864-879 - [c86]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: 52-60 - [i38]Lei Li, Tianfang Zhang, Stefan Oehmcke, Fabian Gieseke, Christian Igel:
BuildSeg: A General Framework for the Segmentation of Buildings. CoRR abs/2301.06190 (2023) - [i37]Christian Igel:
Smooth Monotonic Networks. CoRR abs/2306.01147 (2023) - [i36]Dustin Wright, Christian Igel, Gabrielle Samuel, Raghavendra Selvan:
Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI. CoRR abs/2309.02065 (2023) - [i35]Philip Enevoldsen, Christian Gundersen, Nico Lang, Serge J. Belongie, Christian Igel:
Familiarity-Based Open-Set Recognition Under Adversarial Attacks. CoRR abs/2311.05006 (2023) - [i34]Dimitri Gominski, Ankit Kariryaa, Martin Brandt, Christian Igel, Sizhuo Li, Maurice Mugabowindekwe, Rasmus Fensholt:
Benchmarking Individual Tree Mapping with Sub-meter Imagery. CoRR abs/2311.07981 (2023) - [i33]Hui Zhang, Ankit Kariryaa, Venkanna Babu Guthula, Christian Igel, Stefan Oehmcke:
Predicting urban tree cover from incomplete point labels and limited background information. CoRR abs/2311.11592 (2023) - 2022
- [j63]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): 1179-1210 (2022) - [j62]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): 3912 (2022) - [c85]Rasmus Kær Jørgensen, Fiammetta Caccavale, Christian Igel, Anders Søgaard:
Are Multilingual Sentiment Models Equally Right for the Right Reasons? BlackboxNLP@EMNLP 2022: 131-141 - [c84]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: 38:1-38:4 - [c83]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: 49-64 - [c82]Stephan Sloth Lorenzen, Christian Igel, Mads Nielsen:
Information Bottleneck: Exact Analysis of (Quantized) Neural Networks. ICLR 2022 - [c81]Pengfei Diao, Akshay Pai, Christian Igel, Christian Hedeager Krag:
Histogram-Based Unsupervised Domain Adaptation for Medical Image Classification. MICCAI (8) 2022: 755-764 - [i32]Lasse Borgholt, Jakob Drachmann Havtorn, Joakim Edin, Lars Maaløe, Christian Igel:
A Brief Overview of Unsupervised Neural Speech Representation Learning. CoRR abs/2203.01829 (2022) - [i31]Christian Igel, Stefan Oehmcke:
Remember to correct the bias when using deep learning for regression! CoRR abs/2203.16470 (2022) - [i30]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 abs/2205.10643 (2022) - [i29]Pedram Bakhtiarifard, Christian Igel, Raghavendra Selvan:
Energy Consumption-Aware Tabular Benchmarks for Neural Architecture Search. CoRR abs/2210.06015 (2022) - [i28]Tianfang Zhang, Lei Li, Christian Igel, Stefan Oehmcke, Fabian Gieseke, Zhenming Peng:
LR-CSNet: Low-Rank Deep Unfolding Network for Image Compressive Sensing. CoRR abs/2212.09088 (2022) - 2021
- [j61]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): 159-172 (2021) - [j60]Christian Igel:
Data, Knowledge, and Computation. Künstliche Intell. 35(3): 247-249 (2021) - [j59]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) - [c80]Kai Brügge, Asja Fischer, Christian Igel:
On the convergence of the Metropolis algorithm with fixed-order updates for multivariate binary probability distributions. AISTATS 2021: 469-477 - [c79]Lasse Borgholt, Tycho M. S. Tax, Jakob D. Havtorn, Lars Maaløe, Christian Igel:
On Scaling Contrastive Representations for Low-Resource Speech Recognition. ICASSP 2021: 3885-3889 - [c78]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: 12625-12636 - [i27]Svetlana Kutuzova, Oswin Krause, Douglas McCloskey, Mads Nielsen, Christian Igel:
Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts. CoRR abs/2101.07240 (2021) - [i26]Lasse Borgholt, Tycho Max Sylvester Tax, Jakob Drachmann Havtorn, Lars Maaløe, Christian Igel:
On Scaling Contrastive Representations for Low-Resource Speech Recognition. CoRR abs/2102.00850 (2021) - [i25]Lasse Borgholt, Jakob Drachmann Havtorn, Zeljko Agic, Anders Søgaard, Lars Maaløe, Christian Igel:
Do End-to-End Speech Recognition Models Care About Context? CoRR abs/2102.09928 (2021) - [i24]Stephan Sloth Lorenzen, Christian Igel, Mads Nielsen:
Information Bottleneck: Exact Analysis of (Quantized) Neural Networks. CoRR abs/2106.12912 (2021) - [i23]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 abs/2106.13624 (2021) - [i22]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 abs/2111.14842 (2021) - [i21]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. CoRR abs/2112.11335 (2021) - 2020
- [j58]Oswin Krause, Asja Fischer, Christian Igel:
Algorithms for estimating the partition function of restricted Boltzmann machines. Artif. Intell. 278 (2020) - [c77]Ürün Dogan, Aniket Anand Deshmukh, Marcin Machura, Christian Igel:
Label-Similarity Curriculum Learning. ECCV (29) 2020: 174-190 - [c76]Oswin Krause, Asja Fischer, Christian Igel:
Algorithms for Estimating the Partition Function of Restricted Boltzmann Machines (Extended Abstract). IJCAI 2020: 5045-5049 - [c75]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: 4352-4356 - [c74]Steffen Czolbe, Oswin Krause, Ingemar J. Cox, Christian Igel:
A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model. NeurIPS 2020 - [c73]Andrés R. Masegosa, Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin:
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote. NeurIPS 2020 - [i20]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 abs/2004.14003 (2020) - [i19]Kai Brügge, Asja Fischer, Christian Igel:
On the convergence of the Metropolis algorithm with fixed-order updates for multivariate binary probability distributions. CoRR abs/2006.14999 (2020) - [i18]Steffen Czolbe, Oswin Krause, Ingemar J. Cox, Christian Igel:
A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model. CoRR abs/2006.15057 (2020) - [i17]Andrés R. Masegosa, Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin:
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote. CoRR abs/2007.13532 (2020)
2010 – 2019
- 2019
- [j57]Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin:
On PAC-Bayesian bounds for random forests. Mach. Learn. 108(8-9): 1503-1522 (2019) - [c72]Thorbjørn Louring Koch, Mathias Perslev, Christian Igel, Sami Sebastian Brandt:
Accurate Segmentation of Dental Panoramic Radiographs with U-NETS. ISBI 2019: 15-19 - [c71]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: 30-38 - [c70]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: 68-76 - [c69]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: 109490S - [c68]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: 4417-4428 - [i16]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 abs/1908.07355 (2019) - [i15]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 abs/1910.11162 (2019) - [i14]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 abs/1911.01764 (2019) - [i13]Ürün Dogan, Aniket Anand Deshmukh, Marcin Machura, Christian Igel:
Label-similarity Curriculum Learning. CoRR abs/1911.06902 (2019) - 2018
- [j56]Oswin Krause, Asja Fischer, Christian Igel:
Population-Contrastive-Divergence: Does consistency help with RBM training? Pattern Recognit. Lett. 102: 1-7 (2018) - [c67]Jan Kremer, Fei Sha, Christian Igel:
Robust Active Label Correction. AISTATS 2018: 308-316 - [c66]Ciprian Florescu, Christian Igel:
Resilient Backpropagation (Rprop) for Batch-learning in TensorFlow. ICLR (Workshop) 2018 - [c65]Fabian Gieseke, Christian Igel:
Training Big Random Forests with Little Resources. KDD 2018: 1445-1454 - [c64]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: 512-524 - [c63]Fabian Gieseke, Cosmin Eugen Oancea, Ashish Mahabal, Christian Igel, Tom Heskes:
Bigger Buffer k-d Trees on Multi-Many-Core Systems. VECPAR 2018: 202-214 - [i12]Fabian Gieseke, Christian Igel:
Training Big Random Forests with Little Resources. CoRR abs/1802.06394 (2018) - [i11]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 abs/1810.01928 (2018) - [i10]Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin:
On PAC-Bayesian Bounds for Random Forests. CoRR abs/1810.09746 (2018) - 2017
- [j55]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): 16-22 (2017) - [j54]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): 345-361 (2017) - [j53]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: 1-3 (2017) - [j52]Christian Igel:
Editorial - Project Reports. Künstliche Intell. 31(1): 1-4 (2017) - [c62]Niklas Thiemann, Christian Igel, Olivier Wintenberger, Yevgeny Seldin:
A Strongly Quasiconvex PAC-Bayesian Bound. ALT 2017: 466-492 - [c61]Oswin Krause, Tobias Glasmachers, Christian Igel:
Qualitative and Quantitative Assessment of Step Size Adaptation Rules. FOGA 2017: 139-148 - [c60]Fabian Gieseke, Kai Lars Polsterer, Ashish Mahabal, Christian Igel, Tom Heskes:
Massively-parallel best subset selection for ordinary least-squares regression. SSCI 2017: 1-8 - [p5]Akshay Pai, Yuan-Ching Teng, Joseph Blair, Michiel Kallenberg, Erik B. Dam, Stefan Sommer, Christian Igel, Mads Nielsen:
Characterization of Errors in Deep Learning-Based Brain MRI Segmentation. Deep Learning for Medical Image Analysis 2017: 223-242 - [e1]Christian Igel, Dirk Sudholt, Carsten Witt:
Proceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, FOGA 2017, Copenhagen, Denmark, January 12-15, 2017. ACM 2017, ISBN 978-1-4503-4651-1 [contents] - [r2]Christian Igel:
Evolutionary Kernel Learning. Encyclopedia of Machine Learning and Data Mining 2017: 465-469 - [i9]Jan Kremer, Kristoffer Stensbo-Smidt, Fabian Gieseke, Kim Steenstrup Pedersen, Christian Igel:
Big Universe, Big Data: Machine Learning and Image Analysis for Astronomy. CoRR abs/1704.04650 (2017) - [i8]Carola Doerr, Christian Igel, Lothar Thiele, Xin Yao:
Theory of Randomized Optimization Heuristics (Dagstuhl Seminar 17191). Dagstuhl Reports 7(5): 22-55 (2017) - 2016
- [j51]Ürün Dogan, Tobias Glasmachers, Christian Igel:
A Unified View on Multi-class Support Vector Classification. J. Mach. Learn. Res. 17: 45:1-45:32 (2016) - [j50]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) - [j49]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): 3649-3659 (2016) - [j48]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): 1322-1331 (2016) - [c59]Kai Lars Polsterer, Fabian Gieseke, Christian Igel, Bernd Doser, Nikolaos Gianniotis:
Parallelized rotation and flipping INvariant Kohonen maps (PINK) on GPUs. ESANN 2016 - [c58]Oswin Krause, Tobias Glasmachers, Nikolaus Hansen, Christian Igel:
Unbounded Population MO-CMA-ES for the Bi-Objective BBOB Test Suite. GECCO (Companion) 2016: 1177-1184 - [c57]Michiel Kallenberg, Mads Nielsen, Katharina Holland, Nico Karssemeijer, Christian Igel, Martin Lillholm:
Learning Density Independent Texture Features. Digital Mammography / IWDM 2016: 299-306 - [c56]Oswin Krause, Dídac Rodríguez Arbonès, Christian Igel:
CMA-ES with Optimal Covariance Update and Storage Complexity. NIPS 2016: 370-378 - [i7]Niklas Thiemann, Christian Igel, Yevgeny Seldin:
PAC-Bayesian Aggregation without Cross-Validation. CoRR abs/1608.05610 (2016) - 2015
- [j47]Jan Kremer, Fabian Gieseke, Kim Steenstrup Pedersen, Christian Igel:
Nearest neighbor density ratio estimation for large-scale applications in astronomy. Astron. Comput. 12: 67-72 (2015) - [j46]Asja Fischer, Christian Igel:
A bound for the convergence rate of parallel tempering for sampling restricted Boltzmann machines. Theor. Comput. Sci. 598: 102-117 (2015) - [c55]Søren Frejstrup Maibing, Christian Igel:
Computational Complexity of Linear Large Margin Classification With Ramp Loss. AISTATS 2015 - [c54]Nicolae-Bogdan Sara, Rasmus Halland, Christian Igel, Stephen Alstrup:
High-School Dropout Prediction Using Machine Learning: A Danish Large-scale Study. ESANN 2015 - [c53]Oswin Krause, Christian Igel:
A More Efficient Rank-one Covariance Matrix Update for Evolution Strategies. FOGA 2015: 129-136 - [i6]Oswin Krause, Asja Fischer, Christian Igel:
Population-Contrastive-Divergence: Does Consistency help with RBM training? CoRR abs/1510.01624 (2015) - [i5]Fabian Gieseke, Cosmin Eugen Oancea, Ashish Mahabal, Christian Igel, Tom Heskes:
Bigger Buffer k-d Trees on Multi-Many-Core Systems. CoRR abs/1512.02831 (2015) - [i4]Benjamin Doerr, Nikolaus Hansen, Christian Igel, Lothar Thiele:
Theory of Evolutionary Algorithms (Dagstuhl Seminar 15211). Dagstuhl Reports 5(5): 57-91 (2015) - 2014
- [j45]Asja Fischer, Christian Igel:
Training restricted Boltzmann machines: An introduction. Pattern Recognit. 47(1): 25-39 (2014) - [j44]Jan Kremer, Kim Steenstrup Pedersen, Christian Igel:
Active learning with support vector machines. WIREs Data Mining Knowl. Discov. 4(4): 313-326 (2014) - [c52]Fabian Gieseke, Kai Lars Polsterer, Cosmin Eugen Oancea, Christian Igel:
Speedy greedy feature selection: Better redshift estimation via massive parallelism. ESANN 2014 - [c51]Fabian Gieseke, Justin Heinermann, Cosmin E. Oancea, Christian Igel:
Buffer k-d Trees: Processing Massive Nearest Neighbor Queries on GPUs. ICML 2014: 172-180 - [c50]Dídac R. Arbonès, Henrik G. Jensen, Annika Loft, Per Munck af Rosenschöld, Anders E. Hansen, Christian Igel, Sune Darkner:
Automatic FDG-PET-based tumor and metastatic lymph node segmentation in cervical cancer. Medical Imaging: Image Processing 2014: 903441 - [p4]Christian Igel:
No Free Lunch Theorems: Limitations and Perspectives of Metaheuristics. Theory and Principled Methods for the Design of Metaheuristics 2014: 1-23 - 2013
- [j43]Karl Bringmann, Tobias Friedrich, Christian Igel, Thomas Voß:
Speeding up many-objective optimization by Monte Carlo approximations. Artif. Intell. 204: 22-29 (2013) - [j42]Marc Schlipsing, Jan Salmen, Christian Igel:
Echtzeit-Videoanalyse im Fußball - Ein Live-System zum Spieler-Tracking. Künstliche Intell. 27(3): 235-240 (2013) - [j41]Kai Brügge, Asja Fischer, Christian Igel:
The flip-the-state transition operator for restricted Boltzmann machines. Mach. Learn. 93(1): 53-69 (2013) - [j40]