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Log-Euclidean Signatures for Intrinsic Distances Between Unaligned
  Datasets

Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets

3 February 2022
Tal Shnitzer
Mikhail Yurochkin
Kristjan Greenewald
Justin Solomon
ArXivPDFHTML

Papers citing "Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets"

4 / 4 papers shown
Title
Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy
Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy
Y. Lin
Ronald R. Coifman
Gal Mishne
Ronen Talmon
40
2
0
28 Oct 2024
Hyperbolic Diffusion Embedding and Distance for Hierarchical
  Representation Learning
Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning
Y. Lin
Ronald R. Coifman
Gal Mishne
Ronen Talmon
26
15
0
30 May 2023
Changes from Classical Statistics to Modern Statistics and Data Science
Changes from Classical Statistics to Modern Statistics and Data Science
Kai Zhang
Shan-Yu Liu
M. Xiong
31
0
0
30 Oct 2022
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
338
11,684
0
09 Mar 2017
1