Aapo Hyvärinen

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New:

Arxiv: Identifiable Feature Learning for Spatial Data with Nonlinear ICA

NeurIPS2023: Provable benefits of annealing for estimating normalizing constants

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

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

AISTATS2023: Connectivity-contrastive learning: Combining causal discovery and representation learning for multimodal data

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Professor of Computer Science (Machine Learning)

Books

• NEW: Painful intelligence: What AI can tell us about human suffering (2022)
• Natural Image Statistics (2009), with free preprint
• 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 ?