Imag Neurosci: Second-order instantaneous causal analysis of spontaneous MEG
Arxiv: Identifiable Multi-View Causal Discovery Without Non-Gaussianity
Arxiv: Density Ratio Estimation with Conditional Probability Paths
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
Professor of Computer Science (Machine Learning)
Helsinki Probabilistic Machine Learning Lab
