PREDICTIVE SAMPLING WITH FORECASTING AUTOREGRESSIVE MODELS

von Wiggers, Auke
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 14 of 15 (2021)

E(N) EQUIVARIANT GRAPH NEURAL NETWORKS

von SATORRAS, VICTOR GARCIA
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 12 of 16 (2022)

SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows

von Nielsen, Didrik
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 16 of 27 (2021)

INTEGER DISCRETE FLOWS AND LOSSLESS COMPRESSION

von Hoogeboom, Emiel
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 16 of 20 (2020)

E(n) Equivariant Normalizing Flows

von Garcia Satorras, Victor
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 6 of 36 (2022)

THE CONVOLUTION EXPONENTIAL AND GENERALIZED SYLVESTER FLOWS

von Hoogeboom, Emiel
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 22 of 27 (2021)

Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions

von Hoogeboom, Emiel
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 15 of 36 (2022)

SELF NORMALIZING FLOWS

von KELLER, THOMAS A.
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 7 of 16 (2022)