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The Shape of Data: Intrinsic Distance for Data Distributions

The Shape of Data: Intrinsic Distance for Data Distributions

27 May 2019
Anton Tsitsulin
Marina Munkhoeva
Davide Mottin
Panagiotis Karras
A. Bronstein
Ivan Oseledets
Emmanuel Müller
ArXivPDFHTML

Papers citing "The Shape of Data: Intrinsic Distance for Data Distributions"

7 / 7 papers shown
Title
ReSi: A Comprehensive Benchmark for Representational Similarity Measures
ReSi: A Comprehensive Benchmark for Representational Similarity Measures
Max Klabunde
Tassilo Wald
Tobias Schumacher
Klaus H. Maier-Hein
Markus Strohmaier
Adriana Iamnitchi
AI4TS
VLM
85
5
0
13 Mar 2025
Identifying Sub-networks in Neural Networks via Functionally Similar Representations
Identifying Sub-networks in Neural Networks via Functionally Similar Representations
Tian Gao
Amit Dhurandhar
Karthikeyan N. Ramamurthy
Dennis L. Wei
58
0
0
21 Oct 2024
Similarity of Neural Network Models: A Survey of Functional and Representational Measures
Similarity of Neural Network Models: A Survey of Functional and Representational Measures
Max Klabunde
Tobias Schumacher
M. Strohmaier
Florian Lemmerich
74
67
0
10 May 2023
On the Dimensionality of Word Embedding
On the Dimensionality of Word Embedding
Zi Yin
Yuanyuan Shen
32
189
0
11 Dec 2018
Improved Training of Wasserstein GANs
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
25
9,509
0
31 Mar 2017
Revisiting Classifier Two-Sample Tests
Revisiting Classifier Two-Sample Tests
David Lopez-Paz
Maxime Oquab
93
397
0
20 Oct 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
247
8,999
0
10 Jun 2016
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