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03/29/2023
Nonlinear Independent Component Analysis for Principled Disentanglement in Unsupervised Deep Learning
A central problem in unsupervised deep learning is how to find useful re...
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02/06/2023
Identifiability of latent-variable and structural-equation models: from linear to nonlinear
An old problem in multivariate statistics is that linear Gaussian models...
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11/04/2020
Causal Autoregressive Flows
Two apparently unrelated fields – normalizing flows and causality – have...
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07/18/2020
Autoregressive flow-based causal discovery and inference
We posit that autoregressive flow models are well-suited to performing a...
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02/26/2020
ICE-BeeM: Identifiable Conditional Energy-Based Deep Models
Despite the growing popularity of energy-based models, their identifiabi...
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07/10/2019