Christian Igel

Christian Igel

Professor

Member of:

    ORCID: 0000-0003-2868-0856

    Introductory remarks on publicationslist

    This list of pubications is not fully complete.

    For a complete list of older publications as well as papers and software available online please vist my old homepage: https://christian-igel.github.io

    I also maintain a Google Scholar profile: https://scholar.google.dk/citations?user=d-jF4zIAAAAJ


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    1. Published

      Sparse incomplete LU-decomposition for wave farm designs under realistic conditions

      Arbonès, D. R., Sergiienko, N. Y., Ding, B., Krause, Oswin, Igel, Christian & Wagner, M., 1 Jan 2018, Parallel Problem Solving from Nature – PPSN XV: 15th International Conference, 2018, Proceedings. Springer, p. 512-524 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11101 LNCS).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    2. Published

      Energy Consumption-Aware Tabular Benchmarks for Neural Architecture Search

      Bakhtiarifard, Pedram, Igel, Christian & Selvan, Raghav, 12 Oct 2022, arxiv.org, 13 p.

      Research output: Working paper › Preprint

    3. Parameter optimization for visual obstacle detection using a derandomized evolution strategy

      Bergener, T., Bruckhoff, C. & Igel, Christian, 2001, Imaging and vision systems . Blanc-Talon, J. & Popescu, D. C. (eds.). Nova Science Publishers, p. 265-279 15 p.

      Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

    4. Evolutionary parameter optimization for visual obstacle detection

      Bergener, T., Bruckhoff, C. & Igel, Christian, 1999, Advanced Concepts for Intelligent Vision Systems (ACIVS’99). Lasker, G. E., Blanc-Talon, J. & Popescu, D. (eds.). p. 104-109 6 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    5. Published

      The Liver Tumor Segmentation Benchmark (LiTS)

      Bilic, P., Christ, P., Li, H. B., Vorontsov, E., Ben-Cohen, A., Kaissis, G., Szeskin, A., Jacobs, C., Mamani, G. E. H., Chartrand, G., Lohöfer, F., Holch, J. W., Sommer, W., Hofmann, F., Hostettler, A., Lev-Cohain, N., Drozdzal, M., Amitai, M. M., Vivanti, R., Sosna, J. & 89 others, Ezhov, I., Sekuboyina, A., Navarro, F., Kofler, F., Paetzold, J. C., Shit, S., Hu, X., Lipková, J., Rempfler, M., Piraud, M., Kirschke, J., Wiestler, B., Zhang, Z., Hülsemeyer, C., Beetz, M., Ettlinger, F., Antonelli, M., Bae, W., Bellver, M., Bi, L., Chen, H., Chlebus, G., Dam, Erik Bjørnager, Dou, Q., Fu, C., Georgescu, B., Giró-I-Nieto, X., Gruen, F., Han, X., Heng, P., Hesser, J., Moltz, J. H., Igel, Christian, Isensee, F., Jäger, P., Jia, F., Kaluva, K. C., Khened, M., Kim, I., Kim, J., Kim, S., Kohl, S., Konopczynski, T., Kori, A., Krishnamurthi, G., Li, F., Li, H., Li, J., Li, X., Lowengrub, J., Ma, J., Maier-Hein, K., Maninis, K., Meine, H., Merhof, D., Pai, A., Perslev, Mathias, Petersen, J., Pont-Tuset, J., Qi, J., Qi, X., Rippel, O., Roth, K., Sarasua, I., Schenk, A., Shen, Z., Torres, J., Wachinger, C., Wang, C., Weninger, L., Wu, J., Xu, D., Yang, X., Yu, S. C., Yuan, Y., Yue, M., Zhang, L., Cardoso, J., Bakas, S., Braren, R., Heinemann, V., Pal, C., Tang, A., Kadoury, S., Soler, L., van Ginneken, B., Greenspan, H., Joskowicz, L. & Menze, B., 2023, In: Medical Image Analysis. 84, 24 p., 102680.

      Research output: Contribution to journal › Journal article › Research › peer-review

    6. Published

      GECCO '13: Proceedings of the 2013 Genetic and Evolutionary Computation Conference

      Blum, C. (ed.), Alba, E. (ed.), Auger, A. (ed.), Bacardit, J. (ed.), Bongard, J. (ed.), Branke, J. (ed.), Bredeche, N. (ed.), Brockhoff, D. (ed.), Chicano, F. (ed.), Dorin, A. (ed.), Doursat, R. (ed.), Ekart, A. (ed.), Friedrich, T. (ed.), Giacobini, M. (ed.), Harman, M. (ed.), Iba, H. (ed.), Igel, C. (ed.), Jansen, T. (ed.), Kovacs, T. (ed.), Kowaliw, T. (ed.) & 20 others, Lopez-Ibanez, M. (ed.), Lozano, J. A. (ed.), Luque, G. (ed.), McCall, J. (ed.), Moraglio, A. (ed.), Motsinger-Reif, A. (ed.), Neumann, F. (ed.), Ochoa, G. (ed.), Olague, G. (ed.), Ong, Y. (ed.), Palmer, M. E. (ed.), Pappa, G. L. (ed.), Parsopoulos, K. E. (ed.), Schmickl, T. (ed.), Smith, S. L. (ed.), Solnon, C. (ed.), Stuetzle, T. (ed.), Talbi, E. (ed.), Tauritz, D. (ed.) & Vanneschi, L. (ed.), 2013, Association for Computing Machinery.

      Research output: Book/Report › Book › Research › peer-review

    7. Published

      Proceedings of the Fifteenth International Conference on Genetic and Evolutionary Computation (GECCO 2013)

      Blum, C. (ed.) & Igel, Christian (ed.), 2013, Association for Computing Machinery. 1766 p.

      Research output: Book/Report › Book › Research › peer-review

    8. Published

      Huge music archives on mobile devices: toward an automated dynamic organization

      Blume, H., Bischl, B., Botteck, M., Igel, Christian, Martin, R., Rötter, G., Rudolph, G., Theimer, W., Vatolkin, I. & Weihs, C., 2011, In: IEEE Signal Processing Magazine. 28, 4, p. 24-39 16 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    9. Published

      Do end-to-end speech recognition models care about context?

      Borgholt, L., Havtorn, J. D., Agic, Ž., Søgaard, Anders, Maaløe, L. & Igel, Christian, 2020, Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. International Speech Communication Association (ISCA), Vol. 2020-October. p. 4352-4356

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    10. Published

      On scaling contrastive representations for low-resource speech recognition

      Borgholt, L., Tax, T. M. S., Havtorn, J. D., Maaløe, L. & Igel, Christian, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, Vol. 2021-June. p. 3885-3889

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    11. Published

      A Brief Overview of Unsupervised Neural Speech Representation Learning

      Borgholt, L., Havtorn, J. D., Edin, J., Maaløe, L. & Igel, Christian, 2022, Proceedings of 2nd Workshop on Self-supervised Learning for Audio and Speech Processing. Association for the Advancement of Artificial Intelligence, 13 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    12. Published

      An unexpectedly large count of trees in the West African Sahara and Sahel

      Brandt, M., Tucker, C. J., Kariryaa, A., Rasmussen, K., Abel, C., Small, J., Chave, J., Rasmussen, L. V., Hiernaux, P., Diouf, A. A., Kergoat, L., Mertz, O., Igel, C., Gieseke, F., Schöning, J., Li, S., Melocik, K., Meyer, J., Sinno, S., Romero, E. & 4 others, Glennie, E., Montagu, A., Dendoncker, M. & Fensholt, Rasmus, 2020, In: Nature. 587, p. 78–82

      Research output: Contribution to journal › Journal article › Research › peer-review

    13. Published

      Speeding up many-objective optimization by Monte Carlo approximations

      Bringmann, K., Friedrich, T., Igel, Christian & Voß., T., 2013, In: Artificial Intelligence. 204, p. 22-29 8 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    14. Published

      On the convergence of the Metropolis algorithm with fixed-order updates for multivariate binary probability distributions.

      Brügge, K., Fischer, A. & Igel, Christian, 2021, Proceedings of The 24th International Conference on Artificial Intelligence and Statistic. PMLR, p. 469-477 (Proceedings of Machine Learning Research, Vol. 130).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    15. Published

      The flip-the-state transition operator for restricted Boltzmann machines

      Brügge, K., Fischer, A. & Igel, Christian, 2013, In: Machine Learning. 93, 1, p. 53-69 17 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    16. Image processing and behaviour planning for intelligent vehicles

      Bücher, T., Curio, C., Edelbrunner, J., Igel, Christian, Kastrup, D., Leefken, I., Lorenz, G., Steinhage, A. & Seelen, W. V., 2003, In: IEEE Transactions on Industrial Electronics. 50, 1, p. 62-75 14 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    17. Published

      Towards exaggerated emphysema stereotypes

      Chen, C., Sørensen, L., Lauze, Francois Bernard, Igel, Christian, Loog, M., Feragen, A., de Bruijne, Marleen & Nielsen, Mads, 2012, Medical Imaging 2012: Computer-Aided Diagnosis. van Ginneken, B. & Novak, C. L. (eds.). SPIE - International Society for Optical Engineering, 13 p. 83150Q. (Proceedings of S P I E - International Society for Optical Engineering, Vol. 7964). (Progress in Biomedical Optics and Imaging; No. 31, Vol. 13).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    18. Published

      Towards exaggerated image stereotypes

      Chen, C., Lauze, Francois Bernard, Igel, Christian, Feragen, A., Loog, M. & Nielsen, Mads, 2011, Proceedings of The First Asian Conference on Pattern Recognition 2011, . p. 422-426 5 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    19. Published

      A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model

      Czolbe, Steffen, Krause, Oswin, Cox, Ingemar Johansson & Igel, Christian, 2020, Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtua. NeurIPS Proceedings, (Advances in Neural Information Processing Systems, Vol. 33).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    20. Published

      Nearest neighbor classification using bottom-k sketches

      Dahlgaard, S., Igel, Christian & Thorup, Mikkel, 2013, 2013 IEEE International Conference on Big Data: proceedings. IEEE, p. 28-34 7 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    21. Published

      Towards Automatic Cartilage Quantification in Clinical Trials – Continuing from the 2019 IWOAI Knee Segmentation Challenge

      Dam, E. B., Desai, A. D., Deniz, C. M., Rajamohan, H. R., Regatte, R., Iriondo, C., Pedoia, V., Majumdar, S., Perslev, M., Igel, C., Pai, A., Gaj, S., Yang, M., Nakamura, K., Li, X., Maqbool, H., Irmakci, I., Song, S-E., Bagci, U., Hargreaves, B. & 2 others, Gold, G. & Chaudhari, A., 2023, In: Osteoarthritis Imaging. 3, 1, 9 p., 100087.

      Research output: Contribution to journal › Journal article › Research › peer-review

    22. Published

      The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset

      IWOAI Segmentation Challenge Writing Group, I. S. C. W. G., 2021, In: Radiology. Artificial intelligence. 3, 3, 13 p., e200078.

      Research output: Contribution to journal › Journal article › Research › peer-review

    23. Published

      A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset: Findings From The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge

      Desai, A. D., Caliva, F., Iriondo, C., Khosravan, N., Mortazi, A., Jambawalikar, S., Torigian, D., Ellerman, J., Akcakaya, M., Bagci, U., Tibrewala, R., Flament, I., O`Brien, M., Majumdar, S., Perslev, M., Pai, A., Igel, C., Dam, E. B., Gaj, S., Yang, M. & 9 others, Nakamura, K., Li, X., Deniz, C. M., Juras, V., Regatte, R., Gold, G. E., Hargreaves, B. A., Pedoia, V. & Chaudhari, A. S., 2020, In: Osteoarthritis and Cartilage Open. 28, Suppl. 1, p. 5304-5305

      Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

    24. Published

      Histogram-Based Unsupervised Domain Adaptation for Medical Image Classification

      Diao, P., Pai, A., Igel, Christian & Krag, C. H., 2022, Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 - 25th International Conference, Proceedings. Wang, L., Dou, Q., Fletcher, P. T., Speidel, S. & Li, S. (eds.). Springer, p. 755-764 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13437 LNCS).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    25. Derandomized evolution strategies in computational neuroscience

      Dinse, H. R., Hüsken, M., Igel, Christian, Klaes, C., Nunkesser, M., Schneider, S. & Wiemer, J., 2002, Genetic and Evolutionary Computation Conference Workshop Program (GECCO 2002): Biological Applications of Genetic and Evolutionary Computation (BioGEC 2002). p. 35-37 3 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    26. Published

      Fast training of multi-class support vector machines

      Dogan, Ü., Glasmachers, T. & Igel, Christian, 2011, University of Copenhagen. 19 p. (Koebenhavns Universitet. Datalogisk Institut. Rapport; No. 03, Vol. 2011).

      Research output: Book/Report › Report › Research

    27. Published

      Turning binary large-margin bounds into multi-class bounds

      Dogan, Ü., Glasmachers, T. & Igel, Christian, 2012. 2 p.

      Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

    28. Published

      Label-Similarity Curriculum Learning

      Dogan, Ü., Deshmukh, A. A., Machura, M. B. & Igel, Christian, 2020, Computer Vision – ECCV 2020 - 16th European Conference, Proceedings. Vedaldi, A., Bischof, H., Brox, T. & Frahm, J-M. (eds.). Springer VS, p. 174-190 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12374 LNCS).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    29. Published

      A note on extending generalization bounds for binary large-margin classifiers to multiple classes

      Dogan, Ü., Glasmachers, T. & Igel, Christian, 2012, Machine learning and knowledge discovery in databases: European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part I. Flach, P. A., Bie, T. D. & Cristianini, N. (eds.). Springer, p. 122-129 8 p. (Lecture notes in computer science, Vol. 7523).

      Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

    30. Published

      A unified view on multi-class support vector classification

      Doğan, Ü., Glasmachers, T. & Igel, Christian, 2016, In: Journal of Machine Learning Research. 17, 32 p., 45.

      Research output: Contribution to journal › Journal article › Research › peer-review

    31. E-pub ahead of print

      Towards more comprehensive nationwide familial aggregation studies in Denmark: The Danish Civil Registration System versus the lite Danish Multi-Generation Register

      Due, J. K., Pedersen, M. G., Antonsen, S., Rommedahl, J., Agerbo, E., Mortensen, P. B., Sørensen, H. T., Lotz, Jonas Færch, Cabello Piqueras, Laura, Fierro Mella, Constanza Catalina, Karamolegkou, Antonia, Igel, Christian, Rust, Phillip, Søgaard, Anders & Pedersen, C. B., 2024, (E-pub ahead of print) In: Scandinavian Journal of Public Health. p. 1-11

      Research output: Contribution to journal › Journal article › Research › peer-review

    32. Application and optimization of neural field dynamics for driver assistance

      Edelbrunner, H., Handmann, U., Igel, Christian, Leefken, I. & von Seelen, W., 2001, Proceedings of the 2001 IEEE Intelligent Transportation Systems. IEEE, p. 309-314 6 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    33. Published

      Familiarity-Based Open-Set Recognition Under Adversarial Attacks

      Enevoldsen∗, P., Gundersen, C., Lang, Nico, Belongie, Serge & Igel, Christian, 2023, arXiv.org, 5 p.

      Research output: Working paper › Preprint

    34. Bounding the bias of contrastive divergence used for maximum likelihood learning in restricted Boltzmann machines

      Fischer, A. & Igel, Christian, 2010. 1 p.

      Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

    35. Published

      Bounding the bias of contrastive divergence learning

      Fischer, A. & Igel, Christian, 2011, In: Neural Computation. 23, 3, p. 664-673 10 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    36. Challenges in training restricted Boltzmann machines

      Fischer, A. & Igel, Christian, 2010, Workshop New Challenges in Neural Computation 2010. Hammer, B. & Villmann, T. (eds.). p. 11-24 14 p. (Machine Learning Reports; No. 04/2010).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    37. Published

      Training restricted Boltzmann machines: an introduction

      Fischer, A. & Igel, Christian, 2014, In: Pattern Recognition. 47, 1, p. 25-39 15 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    38. Empirical analysis of the divergence of Gibbs sampling based learning algorithms for restricted Boltzmann machines

      Fischer, A. & Igel, Christian, 2010, Artificial Neural Networks – ICANN 201: 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part III. Diamantaras, K., Duch, W. & Iliadis, L. S. (eds.). Springer, p. 208-217 10 p. (Lecture notes in computer science, Vol. 6354).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    39. Published

      Training RBMs based on the signs of the CD approximation of the log-likelihood derivatives

      Fischer, A. & Igel, Christian, 2011, 19th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2011). Verleysen, M. (ed.). ESANN , p. 495-500 6 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    40. Contrastive divergence learning may diverge when training restricted Boltzmann machines

      Fischer, A. & Igel, Christian, 2009, In: Frontiers in Computational Neuroscience.

      Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

    41. Published

      An introduction to restricted Boltzmann machines

      Fischer, A. & Igel, Christian, 2012, Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 17th Iberoamerican Congress, CIARP 2012, Buenos Aires, Argentina, September 3-6, 2012. Proceedings. Alvarez, L., Mejail, M., Gomez, L. & Jacobo, J. (eds.). Springer, p. 14-36 23 p. (Lecture notes in computer science, Vol. 7441).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    42. Published

      A bound for the convergence rate of parallel tempering for sampling restricted Boltzmann machines

      Fischer, A. & Igel, Christian, 2015, In: Theoretical Computer Science. 598, p. 102-117 16 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    43. Published

      Resilient Backpropagation (Rprop) for Batch-learning in TensorFlow

      Florescu, C. & Igel, Christian, 2018. 5 p.

      Research output: Contribution to conference › Paper › Research › peer-review

    44. Published

      The logarithmic hypervolume indicator

      Friedrich, T., Bringmann, K., Voß, T. & Igel, Christian, 2011, Proceedings of the 11th Workshop on Foundations of genetic algorithms : FOGA '11. Beyer, H-G. & Langdon, W. B. (eds.). Association for Computing Machinery, p. 81-91 11 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    45. Evolutionary tuning of multiple SVM parameters

      Friedrichs, F. & Igel, Christian, 2005, In: Neurocomputing. 64, p. 107-117 11 p.

      Research output: Contribution to journal › Conference article › Research › peer-review

    46. Evolutionary tuning of multiple SVM parameters

      Friedrichs, F. & Igel, Christian, 2004, ESANN 2004: 12th European Symposium on Artificial Neural Networks. D-side Publications, p. 519-524 6 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    47. Published

      Training big random forests with little resources

      Gieseke, Fabian Cristian & Igel, Christian, 2018, KDD 2018 - Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM Association for Computing Machinery, p. 1445-1454

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    48. Published

      Massively-parallel best subset selection for ordinary least-squares regression

      Gieseke, F., Polsterer, K. L., Mahabal, A., Igel, Christian & Heskes, T., 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI) Proceedings. IEEE, p. 1-8 8 p.

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    49. Published

      Polynomial runtime bounds for fixed-rank unsupervised least-squares classification

      Gieseke, Fabian Cristian, Pahikkala, T. & Igel, Christian, 2013, Asian Conference on Machine Learning. Ong, C. S. & Ho, T. B. (eds.). Vol. 29. p. 62-71 10 p. (JMLR: Workshop and Conference Proceedings, Vol. 29).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    50. Published

      Bigger buffer k-d trees on multi-many-core systems

      Gieseke, Fabian Cristian, Oancea, Cosmin Eugen, Mahabal, A., Igel, Christian & Heskes, T., 2019, High Performance Computing for Computational Science – VECPAR 2018: 13th International Conference, São Pedro, Brazil, September 17–19, 2018, Revised Selected Papers. Springer, p. 202-214 (Lecture Notes in Computer Science, Vol. 11333).

      Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

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