Aapo Hyvärinen



AISTATS2021: Causal Autoregressive Flows

AISTATS2021: Independent innovation analysis for nonlinear vector autoregressive process

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

NeuroImage: Nonlinear ICA of fMRI reveals primitive temporal structures linked to rest, task, and behavioral traits

UAI2020: Hidden Markov Nonlinear ICA: Unsupervised Learning from Nonstationary Time Series

UAI2020: Robust contrastive learning and nonlinear ICA in the presence of outliers

AISTATS2020: Variational Autoencoders and Nonlinear ICA: A Unifying Framework

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Professor of Computer Science (Machine Learning)


A randomized research manifesto ?