Invariance Learning based on Label Hierarchy

von Toyota, Shoji
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 39 of 50 (2023)

Multilocus phylogenetic analysis with gene tree clustering

von Yoshida, Ruriko
Veröffentlicht in International Conference on Computational Biomedicine (3. : 2016 : Gainesville, Fla.) Computational biomedicine (2019)

Unsupervised Learning of Equivariant Structure from Sequences

von Miyato, Takeru
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 2 of 50 (2023)

Saiseikaku-no-ōyō-ni-tsuite-no-kenkyū : RIMS-kenkyū-shūkai-hōkokushū ; Kyōto, October 9 - 12, 2008 = Applications of reproducing kernels

Veröffentlicht 2009

From Black-Box to White-Box: Interpretable Learning with Kernel Machines

von Zhang, Hao
Veröffentlicht in MLDM (Veranstaltung : 14. : 2018 : New York, NY) Machine learning and data mining in pattern recognition ; Part 1 (2019)

TREE-SLICED VARIANTS OF WASSERSTEIN DISTANCES vote PE VON

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

Exchangeable Deep Neural Networks for Set-to-Set Matching and Learning

von Saito, Yuki
Veröffentlicht in ECCV (16. : 2020 : Online) Computer vision - ECCV 2020 ; Part 17 (2020)

Kernel mean embedding of distributions: a review and beyond

von Muandet, Krikamol
Veröffentlicht 2017

ROBUST PERSISTENCE DIAGRAMS USING REPRODUCING KERNELS

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

SEMI-FLAT MINIMA AND SADDLE POINTS BY EMBEDDING NEURAL NETWORKS TO OVERPARAMETERIZATION

von Fukumizu, Kenji
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 18 of 20 (2020)