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

      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

    2. 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

    3. 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

    4. A No-Free-Lunch theorem for non-uniform distributions of target functions

      Igel, Christian & Toussaint, M., 2004, In: Journal of Mathematical Modelling and Algorithms. 3, 4, p. 313-322 10 p.

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

    5. 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

    6. A computational efficient covariance matrix update and a (1+1)-CMA for evolution strategies

      Igel, Christian, Suttorp, T. & Hansen, N., 2006, Proceedings of the 8th annual Conference on Genetic and Evolutionary Computation: GECCO '06. Association for Computing Machinery, p. 453-460 8 p.

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

    7. A dynamic neural field model of mesoscopic cortical activity captured with voltage-sensitive dye imaging

      Markounikau, V., Igel, Christian, Grinvald, A. & Jancke, D., 2010, In: P L o S Computational Biology. 6, 9, 14 p., e1000919.

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

    8. A mesoscopic model of VSD dynamics observed in visual cortex induced by flashed and moving stimuli

      Markounikau, V., Igel, Christian & Jancke, D., 2009, In: Frontiers in Computational Neuroscience.

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

    9. Published

      A more efficient rank-one covariance matrix update for evolution strategies

      Krause, Oswin & Igel, Christian, 2015, Proceedings of the 2015 ACM Conference on Foundations of Genetic Algorithms XIII. Association for Computing Machinery, p. 129-136 8 p.

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

    10. 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

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