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
AISTATS2023: Connectivity-contrastive learning: Combining causal discovery and representation learning for multimodal data
Professor of Computer Science (Machine Learning)
