Ilyes Khemakhem

According to our database, Ilyes Khemakhem authored at least 8 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Nonlinear independent component analysis for principled disentanglement in unsupervised deep learning.

Aapo Hyvärinen, Ilyes Khemakhem, Hiroshi Morioka

Patterns, October, 2023

Identifiability of latent-variable and structural-equation models: from linear to nonlinear.

Aapo Hyvärinen, Ilyes Khemakhem, Ricardo Pio Monti

CoRR, 2023

2021

Causal Autoregressive Flows.

Ilyes Khemakhem, Ricardo Pio Monti, Robert Leech, Aapo Hyvärinen

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Autoregressive flow-based causal discovery and inference.

Ricardo Pio Monti, Ilyes Khemakhem, Aapo Hyvärinen

CoRR, 2020

ICE-BeeM: Identifiable Conditional Energy-Based Deep Models.

Ilyes Khemakhem, Ricardo Pio Monti, Diederik P. Kingma, Aapo Hyvärinen

CoRR, 2020

ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA.

Ilyes Khemakhem, Ricardo Pio Monti, Diederik P. Kingma, Aapo Hyvärinen

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Variational Autoencoders and Nonlinear ICA: A Unifying Framework.

Ilyes Khemakhem, Diederik P. Kingma, Ricardo Pio Monti, Aapo Hyvärinen

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Variational Autoencoders and Nonlinear ICA: A Unifying Framework.

Ilyes Khemakhem, Diederik P. Kingma, Aapo Hyvärinen

CoRR, 2019