Variational Autoencoders and Nonlinear ICA: A Unifying Framework. - Ilyes Khemakhem; Diederik P. Kingma; Aapo Hyvärinen (CoRR, 2019)

Variational Autoencoders and Nonlinear ICA: A Unifying Framework. - Ilyes Khemakhem; Diederik P. Kingma; Ricardo Pio Monti; Aapo Hyvärinen (AISTATS, 2020)

ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA. - Ilyes Khemakhem; Ricardo Pio Monti; Diederik P. Kingma; Aapo Hyvärinen (NeurIPS, 2020)

ICE-BeeM: Identifiable Conditional Energy-Based Deep Models. - Ilyes Khemakhem; Ricardo Pio Monti; Diederik P. Kingma; Aapo Hyvärinen (CoRR, 2020)

Autoregressive flow-based causal discovery and inference. - Ricardo Pio Monti; Ilyes Khemakhem; Aapo Hyvärinen (CoRR, 2020)

Causal Autoregressive Flows. - Ilyes Khemakhem; Ricardo Pio Monti; Robert Leech; Aapo Hyvärinen (AISTATS, 2021)

Identifiability of latent-variable and structural-equation models: from linear to nonlinear. - Aapo Hyvärinen; Ilyes Khemakhem; Ricardo Pio Monti (CoRR, 2023)

Nonlinear independent component analysis for principled disentanglement in unsupervised deep learning. - Aapo Hyvärinen; Ilyes Khemakhem; Hiroshi Morioka (Patterns, 2023)