| Variational Autoencoders and Nonlinear ICA: A Unifying Framework I Khemakhem, DP Kingma, RP Monti, A Hyvärinen The 23rd International Conference on Artificial Intelligence and Statistics …, 2020 | 597 | 2020 |
| Causal autoregressive flows I Khemakhem, R Monti, R Leech, A Hyvarinen International conference on artificial intelligence and statistics, 3520-3528, 2021 | 103 | 2021 |
| ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA I Khemakhem, RP Monti, DP Kingma, A Hyvärinen 34th Conference on Neural Information Processing Systems, 2020 | 102 | 2020 |
| Nonlinear independent component analysis for principled disentanglement in unsupervised deep learning A Hyvärinen, I Khemakhem, H Morioka Patterns 4 (10), 2023 | 30 | 2023 |
| ICE-BeeM: Identifiable conditional energy-based deep models I Khemakhem, DP Kingma, RP Monti, A Hyvärinen Conference on Neural Information Processing Systems (NeurIPS 2020), 2020 | 26 | 2020 |
| Identifiability of latent-variable and structural-equation models: from linear to nonlinear A Hyvärinen, I Khemakhem, R Monti Annals of the Institute of Statistical Mathematics 76 (1), 1-33, 2024 | 20 | 2024 |
| Autoregressive flow-based causal discovery and inference RP Monti, I Khemakhem, A Hyvarinen arXiv preprint arXiv:2007.09390, 2020 | 5 | 2020 |
| Advances in identifiability of nonlinear probabilistic models I Khemakhem UCL (University College London), 2022 | 1 | 2022 |
Aapo HyvarinenUniversity of HelsinkiVerified email at helsinki.fi
