Neuroinformatics research group / Aapo Hyvärinen

  • PL 68 (Gustaf Hällströmin katu 2b), B326

    HELSINGIN YLIOPISTO

    Finland

International and National Collaboration Publications and projects within past five years.

Projects

Center of Excellence on Inverse Problems

Lassas, M., Siltanen, S. & Hyvärinen, A.

24/11/201431/12/2017

Project: Research project

Publications

Causal Discovery with General Non-Linear Relationships Using Non-Linear ICA

Monti, R. P., Zhang, K. & Hyvärinen, A., 2019, Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, UAI 2019, Tel Aviv, Israel, July 22-25, 2019. AUAI Press / Association for Uncertainty in Artificial Intelligence, 10 p. (Conference on Uncertainty in Artificial Intelligence).

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

Open Access
File

Estimation of Non-Normalized Mixture Models and Clustering Using Deep Representation

Matsuda, T. & Hyvärinen, A., 2019, The 22nd International Conference on Artificial Intelligence and Statistics, 16-18 April 2019. Chaudhuri, K. & Sugiyama, M. (eds.). Cambridge, MA: Journal of Machine Learning Research, p. 2555-2563 9 p. (Proceedings of Machine Learning Research; vol. 89).

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

Open Access
File

Neural Empirical Bayes

Saremi, S. & Hyvärinen, A., 2019, In : Journal of Machine Learning Research. 20, 23 p., 181.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File

Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning

Hyvärinen, A., Sasaki, H. & Turner, R. E., 2019, The 22nd International Conference on Artificial Intelligence and Statistics, 16-18 April 2019. Chaudhuri, K. & Sugiyama, M. (eds.). Cambridge, MA: Journal of Machine Learning Research, p. 859-868 10 p. (Proceedings of Machine Learning Research ; vol. 89).

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

Open Access
File

Self-supervised representation learning from electroencephalography signals

Banville, H., Albuquerque, I., Hyvärinen, A., Moffat, G., Engemann, D-A. & Gramfort, A., 2019, 2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP). IEEE, Vol. 2019. 6 p.

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

Open Access
File

Activities

Area Chair: NIPS 2018 (Event)

Aapo Hyvärinen (Programme Committee Member)

2018

Activity: Publication peer-review and editorial work typesPeer review of manuscripts

Area Chair: ICML 2018 (Event)

Aapo Hyvärinen (Programme Committee Member)

2018

Activity: Publication peer-review and editorial work typesPeer review of manuscripts

Behaviormetrika (Journal)

Aapo Hyvärinen (Member of editorial board)

2017 → …

Activity: Publication peer-review and editorial work typesEditor of series

ICLR2017 Area Chair (Event)

Aapo Hyvärinen (Chair)

2017 → …

Activity: Membership typesMembership or other role in national/international committee, council, board

Invited Talk in Deep Learning Workshop (Berlin)

Aapo Hyvärinen (Speaker)

25 Jun 201729 Jun 2017

Activity: Talk or presentation typesInvited talk

Prizes

Highly Cited researcher

Hyvärinen, Aapo (Recipient), 2010

Prize: Prizes and awards