MenuNew: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 |
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