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An Operator Theoretic View on Pruning Deep Neural Networks

An Operator Theoretic View on Pruning Deep Neural Networks

28 October 2021
William T. Redman
M. Fonoberova
Ryan Mohr
Y. Kevrekidis
Igor Mezić
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Papers citing "An Operator Theoretic View on Pruning Deep Neural Networks"

3 / 3 papers shown
Title
Multifactor Sequential Disentanglement via Structured Koopman
  Autoencoders
Multifactor Sequential Disentanglement via Structured Koopman Autoencoders
Nimrod Berman
Ilana D Naiman
Omri Azencot
CoGe
27
21
0
30 Mar 2023
Koopman-based generalization bound: New aspect for full-rank weights
Koopman-based generalization bound: New aspect for full-rank weights
Yuka Hashimoto
Sho Sonoda
Isao Ishikawa
Atsushi Nitanda
Taiji Suzuki
11
2
0
12 Feb 2023
What is the State of Neural Network Pruning?
What is the State of Neural Network Pruning?
Davis W. Blalock
Jose Javier Gonzalez Ortiz
Jonathan Frankle
John Guttag
191
1,027
0
06 Mar 2020
1