DIFFGCN: GRAPH CONVOLUTIONAL NETWORKS VIA DIFFERENTIAL OPERATORS AND ALGEBRAIC MULTIGRID POOLING

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

PathGCN: Learning General Graph Spatial Operators from Paths

von Eliasof, Moshe
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 8 of 33 (2023)

PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations

von Eliasof, Moshe
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 5 of 36 (2022)

Wavelet Feature Maps Compression for Image-to-Image CNNs

von Finder, Shahaf E.
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 27 of 50 (2023)

Searching for N:M Fine-grained Sparsity of Weights and Activations in Neural Networks

von Akiva-Hochman, Ruth
Veröffentlicht in ECCV (17. : 2022 : Tel Aviv; Online) Computer vision - ECCV 2022 Workshops ; Part 7 (2023)