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When Does Closeness in Distribution Imply Representational Similarity? An Identifiability Perspective
v1v2 (latest)

When Does Closeness in Distribution Imply Representational Similarity? An Identifiability Perspective

4 June 2025
Beatrix M. G. Nielsen
Emanuele Marconato
Andrea Dittadi
Luigi Gresele
ArXiv (abs)PDFHTMLGithub

Papers citing "When Does Closeness in Distribution Imply Representational Similarity? An Identifiability Perspective"

2 / 2 papers shown
Title
Connecting Neural Models Latent Geometries with Relative Geodesic Representations
Connecting Neural Models Latent Geometries with Relative Geodesic Representations
Hanlin Yu
Berfin Inal
Georgios Arvanitidis
Soren Hauberg
Francesco Locatello
Marco Fumero
DRL
348
2
0
02 Jun 2025
Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens
Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens
Samuele Bortolotti
Emanuele Marconato
Paolo Morettin
Baptiste Caramiaux
Stefano Teso
348
8
0
16 Feb 2025
1