• PL 68 (Pietari Kalmin katu 5)

    00014

    Finland

  • Finland

20102019
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Publications 2010 2019

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Conference contribution
2017

Differentially private Bayesian learning on distributed data

Heikkila, M., Lagerspetz, E., Kaski, S., Shimizu, K., Tarkoma, S. & Honkela, A., 2017, Advances in Neural Information Processing Systems 30 (NIPS 2017). Guyon, I., Luxburg, U. V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S. & Garnett, R. (eds.). NEURAL INFORMATION PROCESSING SYSTEMS (NIPS), Vol. 30. 10 p. (Advances in Neural Information Processing Systems; vol. 30).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Open Access
File

Differentially Private Variational Inference for Non-conjugate Models

Jälkö, J., Dikmen, O. & Honkela, A., 2017, Uncertainty in Artificial Intelligence 2017: Proceedings of the 33rd Conference, UAI 2017 . Elidan, G. & Kersting, K. (eds.). The Association for Uncertainty in Artificial Intelligence, 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Open Access
File
2015

Gaussian process modelling of multiple short time series

Topa, H. & Honkela, A. J. H., 2015, ESANN 2015: Proceedings of the 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. ESANN, p. 83-88 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

2011

A Generative Approach for Image-Based Modeling of Tumor Growth

Menze, B. H., Van Leemput, K., Honkela, A., Konukoglu, E., Weber, M-A., Ayache, N. & Golland, P., 2011, Information Processing in Medical Imaging: 22nd International Conference, IPMI 2011, Kloster Irsee, Germany, July 3-8, 2011. Proceedings. Székely, G. & Hahn, H. K. (eds.). Springer-Verlag, p. 735-747 13 p. (Lecture Notes in Computer Science; vol. 6801).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review