Aapo Hyvarinen
Helsingin yliopisto
H-index: 71
Europe-Finland
Top articles of Aapo Hyvarinen
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Penalized canonical correlation analysis reveals a relationship between temperament traits and brain oscillations during mind wandering | Brain and Behavior | Erkka Heinilä Aapo Hyvärinen Lauri Parkkonen Tiina Parviainen | 2024/2 |
Rejoinder of “Identifiability of latent-variable and structural-equation models: from linear to nonlinear | Annals of the Institute of Statistical Mathematics | Aapo Hyvärinen | 2024/2 |
Identifiability of latent-variable and structural-equation models: from linear to nonlinear | Aapo Hyvärinen Ilyes Khemakhem Ricardo Monti | 2024/2 | |
Towards Interpretable Cryo-EM: Disentangling Latent Spaces of Molecular Conformations | bioRxiv | David Alexander Klindt Aapo Hyvarinen Axel Levy Nina Miolane Frederic Poitevin | 2024 |
Identifiable Feature Learning for Spatial Data with Nonlinear ICA | Hermanni Hälvä Jonathan So Richard E Turner Aapo Hyvärinen | 2024/4/18 | |
Provable benefits of annealing for estimating normalizing constants: Importance Sampling, Noise-Contrastive Estimation, and beyond | Advances in Neural Information Processing Systems | Omar Chehab Aapo Hyvarinen Andrej Risteski | 2024/2/13 |
Unsupervised representation learning of spontaneous MEG data with nonlinear ICA | NeuroImage | Yongjie Zhu Tiina Parviainen Erkka Heinilä Lauri Parkkonen Aapo Hyvärinen | 2023/7/1 |
Connectivity-contrastive learning: Combining causal discovery and representation learning for multimodal data | Hiroshi Morioka Aapo Hyvarinen | 2023/4/11 | |
Optimizing the Noise in Self-Supervised Learning: from Importance Sampling to Noise-Contrastive Estimation | arXiv preprint arXiv:2301.09696 | Omar Chehab Alexandre Gramfort Aapo Hyvarinen | 2023/1/23 |
Causal Representation Learning Made Identifiable by Grouping of Observational Variables | arXiv preprint arXiv:2310.15709 | Hiroshi Morioka Aapo Hyvärinen | 2023/10/24 |
Nonlinear independent component analysis for principled disentanglement in unsupervised deep learning | Aapo Hyvärinen Ilyes Khemakhem Hiroshi Morioka | 2023/10/13 | |
Binary independent component analysis: a non-stationarity-based approach | Antti Hyttinen Vitória Barin Pacela Aapo Hyvärinen | 2022/8/17 | |
Painful intelligence: What AI can tell us about human suffering | arXiv preprint arXiv:2205.15409 | Aapo Hyvärinen | 2022/5/27 |
Dynamics of retinotopic spatial attention revealed by multifocal MEG | NeuroImage | Ilmari Kurki Aapo Hyvärinen Linda Henriksson | 2022/11/1 |
The optimal noise in noise-contrastive learning is not what you think | Omar Chehab Alexandre Gramfort Aapo Hyvärinen | 2022/8/17 | |
Information criteria for non-normalized models | Journal of Machine Learning Research | Takeru Matsuda Masatoshi Uehara Aapo Hyvarinen | 2021 |
Uncovering the structure of clinical EEG signals with self-supervised learning | Journal of Neural Engineering | Hubert Banville Omar Chehab Aapo Hyvärinen Denis-Alexander Engemann Alexandre Gramfort | 2021/3/31 |
Causal autoregressive flows | Ilyes Khemakhem Ricardo Monti Robert Leech Aapo Hyvarinen | 2021/3/18 | |
Shared independent component analysis for multi-subject neuroimaging | Advances in neural information processing systems | Hugo Richard Pierre Ablin Bertrand Thirion Alexandre Gramfort Aapo Hyvarinen | 2021/12/6 |
Independent innovation analysis for nonlinear vector autoregressive process | Hiroshi Morioka Hermanni Hälvä Aapo Hyvarinen | 2021/3/18 |
Co-Authors
