Aapo Hyvärinen



Arxiv: Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA

AISTATS2021: Causal Autoregressive Flows

AISTATS2021: Independent innovation analysis for nonlinear vector autoregressive process

JNE: Uncovering the Structure of Clinical EEG Signals with Self-supervised Learning

NeurIPS2020: ICE-BeeM: Identifiable Conditional Energy-Based Deep Models

NeurIPS2020: Relative gradient optimization of the Jacobian term in unsupervised deep learning

NeurIPS2020: Modeling Shared Responses in Neuroimaging Studies through MultiView ICA

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Professor of Computer Science (Machine Learning)


A randomized research manifesto ?