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Aapo Hyvarinen
Full Professor, Department of Computer Science, University of Helsinki
Joined
October 2016
Names
Aapo Hyvarinen
(Preferred)
,
Aapo Hyvärinen
Emails
****@ucl.ac.uk
(Confirmed)
,
****@helsinki.fi
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
ORCID
Wikipedia
Semantic Scholar
Career & Education History
Full Professor
Department of Computer Science,
University of Helsinki
(helsinki.fi)
2008
–
Present
Full Professor
Gatsby Computational Neuroscience Unit,
University College London, University of London
(ucl.ac.uk)
2016
–
2019
Advisors, Relations & Conflicts
Coauthor
Motoaki Kawanabe
Present
Coauthor
Bertrand Thirion
Present
Coauthor
Alex Gramfort
Present
Coauthor
Takeru Matsuda
Present
PhD Advisee
Hermanni Hälvä
2020
–
2024
PhD Advisee
Omar Chehab
2020
–
2023
Coauthor
Masashi Sugiyama
2021
–
2021
Coauthor
Pierre Ablin
2020
–
2021
Coauthor
Kun Zhang
2007
–
2019
Coauthor
Michael Gutmann
2007
–
2015
PhD Advisee
Shohei Shimizu
2003
–
2006
Expertise
unsupervised machine learning
,
independent component analysis
,
natural image statistics
,
energy-based modelling
,
causal discovery
Present
Publications
Multi-View Causal Discovery without Non-Gaussianity: Identifiability and Algorithms
Ambroise Heurtebise
,
Omar Chehab
,
Pierre Ablin
,
Alexandre Gramfort
,
Aapo Hyvarinen
Submitted to ICLR 2026
Readers:
Everyone
A noise-corrected Langevin algorithm and sampling by half-denoising
Aapo Hyvarinen
Accepted by TMLR
Readers:
Everyone
Identifiable Multi-View Causal Discovery Without Non-Gaussianity
Ambroise Heurtebise
,
Omar Chehab
,
Pierre Ablin
,
Alexandre Gramfort
,
Aapo Hyvärinen
CoRR 2025
Readers:
Everyone
Density Ratio Estimation with Conditional Probability Paths
Hanlin Yu
,
Arto Klami
,
Aapo Hyvärinen
,
Anna Korba
,
Omar Chehab
CoRR 2025
Readers:
Everyone
Density Ratio Estimation with Conditional Probability Paths
Hanlin Yu
,
Arto Klami
,
Aapo Hyvarinen
,
Anna Korba
,
Omar Chehab
ICML 2025 poster
Readers:
Everyone
Frontiers in Probabilistic Inference: learning meets Sampling
Tara Akhound-Sadegh
,
Marta Skreta
,
Yuanqi Du
,
Sarthak Mittal
,
Joey Bose
,
Alexander Tong
,
Kirill Neklyudov
,
Max Welling
,
Michael M. Bronstein
,
Arnaud Doucet
,
Aapo Hyvarinen
ICLR 2025 Workshop Proposals
Readers:
Everyone
Causal Representation Learning Made Identifiable by Grouping of Observational Variables
Hiroshi Morioka
,
Aapo Hyvarinen
ICML 2024 Poster
Readers:
Everyone
Causal Representation Learning Made Identifiable by Grouping of Observational Variables
Hiroshi Morioka
,
Aapo Hyvärinen
ICML 2024
Readers:
Everyone
A noise-corrected Langevin algorithm and sampling by half-denoising
Aapo Hyvärinen
CoRR 2024
Readers:
Everyone
Identifiable Feature Learning for Spatial Data with Nonlinear ICA
Hermanni Hälvä
,
Jonathan So
,
Richard E. Turner
,
Aapo Hyvärinen
AISTATS 2024
Readers:
Everyone
View all 225 publications
Co-Authors
Adrián Javaloy
Alexander Tong
Alexander Y. Zhigalov
Alexandre Gramfort
Ambroise Heurtebise
Andrej Risteski
Anna Korba
Antti Hyttinen
Antti J. Kerminen
Arash Mehrjou
Arnaud Doucet
Arthur Gretton
Arto Klami
Bernhard Schölkopf
Bertrand Thirion
Bharath K. Sriperumbudur
Christian F. Beckmann
Denis A. Engemann
Denis-Alexander Engemann
Diederik P Kingma
Diederik P. Kingma
Elia Formisano
Elisabeth Gassiat
Ella Bingham
Emre Kiciman
View all 147 co-authors