Aapo Hyvärinen

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Arxiv: ICE-BeeM: Identifiable Conditional Energy-Based Deep Models

Arxiv: Relative gradient optimization of the Jacobian term in unsupervised deep learning

Arxiv: Independent innovation analysis for nonlinear vector autoregressive process

Arxiv: Modeling Shared Responses in Neuroimaging Studies through MultiView ICA

NeuroImage: Nonlinear ICA of fMRI reveals primitive temporal structures linked to rest, task, and behavioral traits

UAI2020: Hidden Markov Nonlinear ICA: Unsupervised Learning from Nonstationary Time Series

UAI2020: Robust contrastive learning and nonlinear ICA in the presence of outliers

AISTATS2020: Variational Autoencoders and Nonlinear ICA: A Unifying Framework

Teaching at University of Helsinki

Future:

- Computational Cognitive Neuroscience, 3rd period in 2020/21.

- Seminar in Neuroinformatics 6 (topic TBD), 3rd and 4th period in 2020/21.

Past:

- Computational Cognitive Neuroscience, 3rd period in 2015/16.

- Unsupervised Machine Learning, 4th period in 2014/15.

- Seminar in Neuroinformatics 5: Emotion in Machines and Humans , 3rd and 4th period in 2014/15.

- Unsupervised Machine Learning, 4th period in 2013/14.

- Unsupervised Machine Learning, 3rd period in 2012/13.

- Seminar on Neuroinformatics 4: Consciousness in brains and machines, 3rd and 4th period in 2011/12.

- Unsupervised Machine Learning, 4th period in 2011/12.

- Seminar on Neuroinformatics 3: Social interaction in agents and humans, 3rd and 4th period in 2010/11.

- Unsupervised Machine Learning, 4th period in 2010/11.

- Seminar on Neuroinformatics 2: Natural Image Statistics, 3rd and 4th period in 2009/10.

- Unsupervised Machine Learning, 4th period in 2009/10.

- Seminar on Neuroinformatics: Advanced data analysis methods in brain imaging, 1st and 2nd period in 2008/9.

- Unsupervised Machine Learning, 4th period in 2008/9.

- Modelling of Vision, given in 2004-2008.