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Faster Optimization on Sparse Graphs via Neural Reparametrization

Faster Optimization on Sparse Graphs via Neural Reparametrization

Nima Dehmamy
C. Both
J. Long
Rose Yu
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Papers citing "Faster Optimization on Sparse Graphs via Neural Reparametrization"

6 / 6 papers shown
Title
Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks
Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks
Tolga Birdal
Aaron Lou
Leonidas Guibas
Umut cSimcsekli
37
61
0
25 Nov 2021
Neural reparameterization improves structural optimization
Neural reparameterization improves structural optimization
Stephan Hoyer
Jascha Narain Sohl-Dickstein
S. Greydanus
AI4CE
44
67
0
10 Sep 2019
Connectivity-Optimized Representation Learning via Persistent Homology
Connectivity-Optimized Representation Learning via Persistent Homology
Christoph Hofer
Roland Kwitt
Mandar Dixit
Marc Niethammer
20
77
0
21 Jun 2019
A Topology Layer for Machine Learning
A Topology Layer for Machine Learning
Rickard Brüel-Gabrielsson
Bradley J. Nelson
Anjan Dwaraknath
Primoz Skraba
Leonidas Guibas
Gunnar Carlsson
AI4CE
43
132
0
29 May 2019
Shampoo: Preconditioned Stochastic Tensor Optimization
Shampoo: Preconditioned Stochastic Tensor Optimization
Vineet Gupta
Tomer Koren
Y. Singer
ODL
43
214
0
26 Feb 2018
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
447
3,264
0
24 Nov 2016

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