Object DGCNN: 3D Object Detection using Dynamic Graphs

von Wang, Yue
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 25 of 36 (2022)

CONTINUOUS REGULARIZED WASSERSTEIN BARYCENTERS

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

Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets

von Shnitzer, Tal
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 24 of 33 (2023)

HIERARCHICAL OPTIMAL TRANSPORT FOR DOCUMENT REPRESENTATION

von Yurochkin, Mikhail
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 3 of 20 (2020)

MarioNette: Self-Supervised Sprite Learning

von Smirnov, Dmitriy
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 7 of 36 (2022)

ALLEVIATING LABEL SWITCHING WITH OPTIMAL TRANSPORT

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

Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark

von Korotin, Alexander
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 18 of 36 (2022)

Large-Scale Wasserstein Gradient Flows

von Mokrov, Petr
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 19 of 36 (2022)