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Number of items: 7.
Article
Hosoya, H;
Hyvarinen, AJ;
(2017)
A mixture of sparse coding models explaining properties of face neurons related to holistic and parts-based processing.
PLoS Computational Biology
, 13
(7)
, Article e1005667. 10.1371/journal.pcbi.1005667.
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Sasaki, H;
Gutmann, MU;
Shouno, H;
Hyvarinen, AJ;
(2017)
Simultaneous Estimation of Nongaussian Components and Their Correlation Structure.
Neural Computation
, 29
pp. 2887-2924.
10.1162/neco_a_01006.
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Sriperumbudur, B;
Fukumizu, K;
Gretton, A;
Hyvärinen, A;
Kumar, R;
(2017)
Density Estimation in Infinite Dimensional Exponential Families.
Journal of Machine Learning Research
, 18
, Article 57.
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Proceedings paper
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Celikkanat, H;
Moriya, H;
Ogawa, T;
Kauppi, J-P;
Kawanabe, M;
Hyvarinen, AJ;
(2017)
Decoding Emotional Valence from Electroencephalographic Rhythmic Activity.
In: Park, KS and Kim, Y and Weiland, J, (eds.)
39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) - 2017.
(pp. pp. 4143-4146).
IEEE Press: Jeju Island, Korea.
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Hirayama, J;
Hyvarinen, AJ;
Kawanabe, M;
(2017)
SPLICE: Fully tractable hierarchical extension of ICA with pooling.
In: Precup, D and Teh, YW, (eds.)
Volume 70: International Conference on Machine Learning, 6-11 August 2017, International Convention Centre,.
(pp. pp. 1491-1500).
Machine Learning Research: Sydney, Australia.
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Hyvarinen, AJ;
Morioka, H;
(2017)
Nonlinear ICA of temporally dependent stationary sources.
In:
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics.
Proceedings of Machine Learning Research: Fort Lauderdale, FL, USA.
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Monti, RP;
Hyvärinen, A;
(2018)
A Unified Probabilistic Model for Learning Latent Factors and Their Connectivities from High-Dimensional Data.
In:
Proceedings of Conference on Uncertainty in Artificial Intelligence - UAI 2018.
Uncertainty in Artificial Intelligence (UAI): USA.
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