Christian Igel

Christian Igel

Professor

Kommentarer til publikationsliste

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: http://image.diku.dk/igel

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


  1. Challenges in training restricted Boltzmann machines. / Fischer, Asja; Igel, Christian.

    Workshop New Challenges in Neural Computation 2010. red. / B. Hammer; T. Villmann. 2010. s. 11-24 (Machine Learning Reports; Nr. 04/2010).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  2. Udgivet

    Training restricted Boltzmann machines : an introduction. / Fischer, Asja; Igel, Christian.

    I: Pattern Recognition, Bind 47, Nr. 1, 2014, s. 25-39.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  3. Empirical analysis of the divergence of Gibbs sampling based learning algorithms for restricted Boltzmann machines. / Fischer, Asja; Igel, Christian.

    Artificial Neural Networks – ICANN 201: 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part III. red. / K. Diamantaras; W. Duch; L. S. Iliadis. Springer, 2010. s. 208-217 (Lecture notes in computer science, Bind 6354).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  4. Udgivet

    Training RBMs based on the signs of the CD approximation of the log-likelihood derivatives. / Fischer, Asja; Igel, Christian.

    19th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2011). red. / M. Verleysen. ESANN , 2011. s. 495-500.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  5. Contrastive divergence learning may diverge when training restricted Boltzmann machines. / Fischer, Asja; Igel, Christian.

    I: Frontiers in Computational Neuroscience, 2009.

    Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftForskningfagfællebedømt

  6. Udgivet

    An introduction to restricted Boltzmann machines. / Fischer, Asja; Igel, Christian.

    Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 17th Iberoamerican Congress, CIARP 2012, Buenos Aires, Argentina, September 3-6, 2012. Proceedings. red. / Luis Alvarez; Marta Mejail ; Luis Gomez; Julio Jacobo . Springer, 2012. s. 14-36 (Lecture notes in computer science, Bind 7441).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  7. Udgivet

    A bound for the convergence rate of parallel tempering for sampling restricted Boltzmann machines. / Fischer, Asja; Igel, Christian.

    I: Theoretical Computer Science, Bind 598, 2015, s. 102-117.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  8. Udgivet

    Resilient Backpropagation (Rprop) for Batch-learning in TensorFlow. / Florescu, Ciprian; Igel, Christian.

    2018. Paper præsenteret ved International Conference on Learning Representations, Vancouver, Canada.

    Publikation: KonferencebidragPaperForskningfagfællebedømt

  9. Udgivet

    The logarithmic hypervolume indicator. / Friedrich, Tobias; Bringmann, Karl; Voß, Thomas; Igel, Christian.

    Proceedings of the 11th Workshop on Foundations of genetic algorithms : FOGA '11. red. / Hans-Georg Beyer; W. B. Langdon. Association for Computing Machinery, 2011. s. 81-91.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  10. Evolutionary tuning of multiple SVM parameters. / Friedrichs, F.; Igel, Christian.

    I: Neurocomputing, Bind 64, 2005, s. 107-117.

    Publikation: Bidrag til tidsskriftKonferenceartikelForskningfagfællebedømt

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