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Moments of Clarity: Streamlining Latent Spaces in Machine Learning using
  Moment Pooling

Moments of Clarity: Streamlining Latent Spaces in Machine Learning using Moment Pooling

13 March 2024
Rikab Gambhir
Athis Osathapan
Jesse Thaler
ArXivPDFHTML

Papers citing "Moments of Clarity: Streamlining Latent Spaces in Machine Learning using Moment Pooling"

5 / 5 papers shown
Title
Mapping the Multiverse of Latent Representations
Mapping the Multiverse of Latent Representations
Jeremy Wayland
Corinna Coupette
Bastian Alexander Rieck
50
7
0
02 Feb 2024
Interpretability of Machine Learning: Recent Advances and Future
  Prospects
Interpretability of Machine Learning: Recent Advances and Future Prospects
Lei Gao
L. Guan
AAML
36
31
0
30 Apr 2023
PELICAN: Permutation Equivariant and Lorentz Invariant or Covariant
  Aggregator Network for Particle Physics
PELICAN: Permutation Equivariant and Lorentz Invariant or Covariant Aggregator Network for Particle Physics
A. Bogatskiy
Timothy Hoffman
David W. Miller
Jan T. Offermann
16
30
0
01 Nov 2022
Machine Learning in the Search for New Fundamental Physics
Machine Learning in the Search for New Fundamental Physics
G. Karagiorgi
Gregor Kasieczka
S. Kravitz
Benjamin Nachman
David Shih
AI4CE
33
113
0
07 Dec 2021
A Survey on Neural Network Interpretability
A Survey on Neural Network Interpretability
Yu Zhang
Peter Tiño
A. Leonardis
K. Tang
FaML
XAI
141
660
0
28 Dec 2020
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