Aapo Hyvärinen

University of Helsinki — Finland

Computer Science · Physical Sciences

60h-index42.6kcitations406works1.52yr avg
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Research Topics

Blind Source Separation Techniques(210), Neural Networks and Applications(131), Neural dynamics and brain function(97), Spectroscopy and Chemometric Analyses(81), Visual perception and processing mechanisms(50)

Publications406 total

Multi-View Causal Discovery without Non-Gaussianity: Identifiability and Algorithms
ArXiv.org·2025Open Access
Density Ratio Estimation with Conditional Probability Paths
arXiv (Cornell University)·2025Open Access
Second-order instantaneous causal analysis of spontaneous MEG
Imaging Neuroscience·2025Open Access
A noise-corrected Langevin algorithm and sampling by half-denoising
arXiv (Cornell University)·2024Open Access
Towards interpretable Cryo-EM: disentangling latent spaces of molecular conformations
Frontiers in Molecular Biosciences·2024· 5 citedOpen Access
Towards Interpretable Cryo-EM: Disentangling Latent Spaces of Molecular Conformations
2024· 2 citedOpen Access
Penalized canonical correlation analysis reveals a relationship between temperament traits and brain oscillations during mind wandering
Brain and Behavior·2024· 4 citedOpen Access
Improving source estimation of retinotopic MEG responses by combining data from multiple subjects
Imaging Neuroscience·2024· 1 citedOpen Access
Author response for "Penalized canonical correlation analysis reveals a relationship between temperament traits and brain oscillations during mind wandering"
2023
Identifiable Feature Learning for Spatial Data with Nonlinear ICA
arXiv (Cornell University)·2023· 2 citedOpen Access
Identifiability of latent-variable and structural-equation models: from linear to nonlinear
Annals of the Institute of Statistical Mathematics·2023· 18 cited
Rejoinder of “Identifiability of latent-variable and structural-equation models: from linear to nonlinear"
Annals of the Institute of Statistical Mathematics·2023
Causal Representation Learning Made Identifiable by Grouping of Observational Variables
arXiv (Cornell University)·2023Open Access
Provable benefits of annealing for estimating normalizing constants: Importance Sampling, Noise-Contrastive Estimation, and beyond
arXiv (Cornell University)·2023Open Access
Nonlinear independent component analysis for principled disentanglement in unsupervised deep learning
Patterns·2023· 25 citedOpen Access
Author response for "Penalized canonical correlation analysis reveals a relationship between temperament traits and brain oscillations during mind wandering"
2023
Author response for "Penalized canonical correlation analysis reveals a relationship between temperament traits and brain oscillations during mind wandering"
2023
Unsupervised representation learning of spontaneous MEG data with nonlinear ICA
NeuroImage·2023· 16 citedOpen Access
Nonlinear Independent Component Analysis for Principled Disentanglement in Unsupervised Deep Learning
arXiv (Cornell University)·2023· 3 citedOpen Access
Identifiability of latent-variable and structural-equation models: from linear to nonlinear
arXiv (Cornell University)·2023· 3 citedOpen Access
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Frequent Co-authors

Patrik O. Hoyer(10), Erkki Oja(4), Michael U. Gutmann(4), Johan Himberg(3), Jarmo Hurri(3), Juha Karhunen(2), Fabrizio Esposito(2), P. Pajunen(2), Stephen M. Smith(2), Ella Bingham(1), Mika Inki(1), Vesa Kiviniemi(1), Juha-Heikki Kantola(1), Jukka Jauhiainen(1), Osmo Tervonen(1), Tommaso Scarabino(1), Elia Formisano(1), Silvia Comani(1), Gioacchino Tedeschi(1), Rainer Goebel(1)