Filter
Article in proceedings

Search results

  • 2022

    Evidential Turing Processes

    Kandemir, M., Akgül, A., Haussmann, M. & Unal, G., 2022, The Tenth International Conference on Learning Representations: ICLR 2022.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    File
    22 Downloads (Pure)
  • 2021

    Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes

    Haussmann, M., Gerwinn, S., Look, A., Rakitsch, B. & Kandemir, M., 2021, International Conference on Artificial Intelligence and Statistics: AISTATS. Vol. 130. (Proceedings of Machine Learning Research, Vol. 130).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Open Access
    File
    17 Downloads (Pure)
  • 2020

    Bayesian Evidential Deep Learning with PAC Regularization

    Haussmann, M., Gerwinn, S. & Kandemir, M., 2020, Advances in Approximate Bayesian Inference: AABI.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    File
    12 Downloads (Pure)
  • 2019

    Deep Active Learning with Adaptive Acquisition

    Haussmann, M., Hamprecht, F. A. & Kandemir, M., 27. Jun 2019, International Joint Conference on Artificial Intelligence: IJCAI.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    File
    21 Downloads (Pure)
  • Sampling-Free Variational Inference of Bayesian Neural Networks by Variance Backpropagation

    Haussmann, M., Hamprecht, F. A. & Kandemir, M., 2019, Uncertainty in Artificial Intelligence: UAI.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    File
    10 Downloads (Pure)
  • 2017

    Variational Bayesian Multiple Instance Learning with Gaussian Processes.

    Haußmann, M., Hamprecht, F. A. & Kandemir, M., 2017, Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017: CVPR. p. 810-819

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  • 2016

    Variational Weakly Supervised Gaussian Processes.

    Kandemir, M., Haußmann, M., Diego, F., Rajamani, K. T., Laak, J. V. D. & Hamprecht, F. A., 2016, British Machine Vision Conference: BMVC.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review