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Lipschitz Bounded Equilibrium Networks

Lipschitz Bounded Equilibrium Networks

5 October 2020
Max Revay
Ruigang Wang
I. Manchester
ArXivPDFHTML

Papers citing "Lipschitz Bounded Equilibrium Networks"

15 / 15 papers shown
Title
Improved Scalable Lipschitz Bounds for Deep Neural Networks
Improved Scalable Lipschitz Bounds for Deep Neural Networks
U. Syed
Bin Hu
BDL
56
0
0
18 Mar 2025
On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks
On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks
Nicholas H. Barbara
Ruigang Wang
I. Manchester
45
4
0
19 May 2024
Monotone, Bi-Lipschitz, and Polyak-Lojasiewicz Networks
Monotone, Bi-Lipschitz, and Polyak-Lojasiewicz Networks
Ruigang Wang
Krishnamurthy Dvijotham
I. Manchester
41
5
0
02 Feb 2024
TorchDEQ: A Library for Deep Equilibrium Models
TorchDEQ: A Library for Deep Equilibrium Models
Zhengyang Geng
J. Zico Kolter
VLM
64
12
0
28 Oct 2023
Monotone deep Boltzmann machines
Monotone deep Boltzmann machines
Zhili Feng
Ezra Winston
J. Zico Kolter
35
1
0
11 Jul 2023
Lipschitz-bounded 1D convolutional neural networks using the Cayley
  transform and the controllability Gramian
Lipschitz-bounded 1D convolutional neural networks using the Cayley transform and the controllability Gramian
Patricia Pauli
Ruigang Wang
I. Manchester
Frank Allgöwer
37
8
0
20 Mar 2023
A Unified Algebraic Perspective on Lipschitz Neural Networks
A Unified Algebraic Perspective on Lipschitz Neural Networks
Alexandre Araujo
Aaron J. Havens
Blaise Delattre
A. Allauzen
Bin Hu
AAML
41
53
0
06 Mar 2023
Convolutional Neural Networks as 2-D systems
Convolutional Neural Networks as 2-D systems
Dennis Gramlich
Patricia Pauli
C. Scherer
Frank Allgöwer
C. Ebenbauer
3DV
36
8
0
06 Mar 2023
Deep equilibrium models as estimators for continuous latent variables
Deep equilibrium models as estimators for continuous latent variables
Russell Tsuchida
Cheng Soon Ong
35
8
0
11 Nov 2022
Robust Training and Verification of Implicit Neural Networks: A
  Non-Euclidean Contractive Approach
Robust Training and Verification of Implicit Neural Networks: A Non-Euclidean Contractive Approach
Saber Jafarpour
A. Davydov
Matthew Abate
Francesco Bullo
Samuel Coogan
13
1
0
08 Aug 2022
Global Convergence of Over-parameterized Deep Equilibrium Models
Global Convergence of Over-parameterized Deep Equilibrium Models
Zenan Ling
Xingyu Xie
Qiuhao Wang
Zongpeng Zhang
Zhouchen Lin
37
12
0
27 May 2022
Joint inference and input optimization in equilibrium networks
Joint inference and input optimization in equilibrium networks
Swaminathan Gurumurthy
Shaojie Bai
Zachary Manchester
J. Zico Kolter
34
19
0
25 Nov 2021
On Training Implicit Models
On Training Implicit Models
Zhengyang Geng
Xinyu Zhang
Shaojie Bai
Yisen Wang
Zhouchen Lin
72
69
0
09 Nov 2021
Stabilizing Equilibrium Models by Jacobian Regularization
Stabilizing Equilibrium Models by Jacobian Regularization
Shaojie Bai
V. Koltun
J. Zico Kolter
33
57
0
28 Jun 2021
RNNs of RNNs: Recursive Construction of Stable Assemblies of Recurrent
  Neural Networks
RNNs of RNNs: Recursive Construction of Stable Assemblies of Recurrent Neural Networks
L. Kozachkov
Michaela Ennis
Jean-Jacques E. Slotine
22
18
0
16 Jun 2021
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