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Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output
  Distribution of Neural Networks over the Input Space

Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space

19 February 2023
Weitang Liu
Ying-Wai Li
Yi-Zhuang You
Jingbo Shang
ArXivPDFHTML

Papers citing "Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space"

4 / 4 papers shown
Title
MLP-Mixer: An all-MLP Architecture for Vision
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O. Tolstikhin
N. Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
...
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
Mario Lucic
Alexey Dosovitskiy
271
2,603
0
04 May 2021
A Contour Stochastic Gradient Langevin Dynamics Algorithm for
  Simulations of Multi-modal Distributions
A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions
Wei Deng
Guang Lin
F. Liang
BDL
39
27
0
19 Oct 2020
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
255
36,362
0
25 Aug 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
284
5,835
0
08 Jul 2016
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