Aapo Hyvärinen

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Arxiv: A noise-corrected Langevin algorithm and sampling by half-denoising

Front Mol BioSci: Towards Interpretable CryoEM: Disentangling Latent Spaces of Molecular Conformations

ICML2024: Causal Representation Learning Made Identifiable by Grouping of Observational Variables

AISTATS2024: Identifiable Feature Learning for Spatial Data with Nonlinear ICA

NeurIPS2023: Provable benefits of annealing for estimating normalizing constants

NeuroImage: Unsupervised representation learning of spontaneous MEG data with nonlinear ICA

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Professor of Computer Science (Machine Learning)

Books

• NEW: Painful intelligence: What AI can tell us about human suffering
  (Second Edition, 2024)
• Natural Image Statistics (2009)
• Independent Component Analysis (2001)

Recent reviews (2023)

• Nonlinear independent component analysis for principled disentanglement
• Identifiability of latent-variable and structural-equation models

A randomized research manifesto ?