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Representational dissimilarity metric spaces for stochastic neural
  networks

Representational dissimilarity metric spaces for stochastic neural networks

21 November 2022
Lyndon Duong
Jingyang Zhou
Josue Nassar
Jules Berman
Jeroen Olieslagers
Alex H. Williams
ArXivPDFHTML

Papers citing "Representational dissimilarity metric spaces for stochastic neural networks"

10 / 10 papers shown
Title
Layer Pruning with Consensus: A Triple-Win Solution
Layer Pruning with Consensus: A Triple-Win Solution
Leandro Giusti Mugnaini
Carolina Tavares Duarte
Anna H. Reali Costa
Artur Jordao
71
0
0
21 Nov 2024
Discriminating image representations with principal distortions
Discriminating image representations with principal distortions
Jenelle Feather
David Lipshutz
Sarah E. Harvey
Alex H. Williams
Eero P. Simoncelli
31
1
0
20 Oct 2024
Effective Layer Pruning Through Similarity Metric Perspective
Effective Layer Pruning Through Similarity Metric Perspective
Ian Pons
Bruno Yamamoto
Anna H. Reali Costa
Artur Jordao
46
2
0
27 May 2024
Universal Neurons in GPT2 Language Models
Universal Neurons in GPT2 Language Models
Wes Gurnee
Theo Horsley
Zifan Carl Guo
Tara Rezaei Kheirkhah
Qinyi Sun
Will Hathaway
Neel Nanda
Dimitris Bertsimas
MILM
96
37
0
22 Jan 2024
Probing Biological and Artificial Neural Networks with Task-dependent
  Neural Manifolds
Probing Biological and Artificial Neural Networks with Task-dependent Neural Manifolds
Michael Kuoch
Chi-Ning Chou
Nikhil Parthasarathy
Joel Dapello
J. DiCarlo
H. Sompolinsky
SueYeon Chung
19
1
0
21 Dec 2023
Duality of Bures and Shape Distances with Implications for Comparing
  Neural Representations
Duality of Bures and Shape Distances with Implications for Comparing Neural Representations
Sarah E. Harvey
Brett W. Larsen
Alex H. Williams
90
11
0
19 Nov 2023
Getting aligned on representational alignment
Getting aligned on representational alignment
Ilia Sucholutsky
Lukas Muttenthaler
Adrian Weller
Andi Peng
Andreea Bobu
...
Thomas Unterthiner
Andrew Kyle Lampinen
Klaus-Robert Muller
M. Toneva
Thomas L. Griffiths
58
74
0
18 Oct 2023
Estimating Shape Distances on Neural Representations with Limited
  Samples
Estimating Shape Distances on Neural Representations with Limited Samples
Dean A. Pospisil
Brett W. Larsen
Sarah E. Harvey
Alex H. Williams
28
2
0
09 Oct 2023
Beyond Geometry: Comparing the Temporal Structure of Computation in
  Neural Circuits with Dynamical Similarity Analysis
Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis
Mitchell Ostrow
Adam J. Eisen
L. Kozachkov
Ila Fiete
38
24
0
16 Jun 2023
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
52
64
0
10 May 2023
1