MenuNew:BiorXiv: Towards Interpretable CryoEM: Disentangling Latent Spaces of Molecular Conformations AISTATS2024: Identifiable Feature Learning for Spatial Data with Nonlinear ICA NeurIPS2023: Provable benefits of annealing for estimating normalizing constants Arxiv: Causal Representation Learning Made Identifiable by Grouping of Observational Variables 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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Professor of Computer Science (Machine Learning) Books
Recent reviews (2023)
A randomized research manifesto ? |