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Global Convergence of Over-parameterized Deep Equilibrium Models

Global Convergence of Over-parameterized Deep Equilibrium Models

27 May 2022
Zenan Ling
Xingyu Xie
Qiuhao Wang
Zongpeng Zhang
Zhouchen Lin
ArXivPDFHTML

Papers citing "Global Convergence of Over-parameterized Deep Equilibrium Models"

7 / 7 papers shown
Title
IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks
IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks
Junchao Lin
Zenan Ling
Zhanbo Feng
Feng Zhou
Jingwen Xu
Feng Zhou
Tianqi Hou
Zhenyu Liao
Robert C. Qiu
GNN
AI4CE
48
0
0
11 Oct 2024
On the Equivalence between Implicit and Explicit Neural Networks: A
  High-dimensional Viewpoint
On the Equivalence between Implicit and Explicit Neural Networks: A High-dimensional Viewpoint
Zenan Ling
Zhenyu Liao
Robert C. Qiu
30
0
0
31 Aug 2023
Global Convergence Rate of Deep Equilibrium Models with General Activations
Global Convergence Rate of Deep Equilibrium Models with General Activations
Lan V. Truong
37
2
0
11 Feb 2023
Deep Equilibrium Approaches to Diffusion Models
Deep Equilibrium Approaches to Diffusion Models
Ashwini Pokle
Zhengyang Geng
Zico Kolter
DiffM
22
39
0
23 Oct 2022
Gradient Descent Optimizes Infinite-Depth ReLU Implicit Networks with
  Linear Widths
Gradient Descent Optimizes Infinite-Depth ReLU Implicit Networks with Linear Widths
Tianxiang Gao
Hongyang Gao
MLT
35
5
0
16 May 2022
On the Provable Generalization of Recurrent Neural Networks
On the Provable Generalization of Recurrent Neural Networks
Lifu Wang
Bo Shen
Bo Hu
Xing Cao
26
8
0
29 Sep 2021
On the Proof of Global Convergence of Gradient Descent for Deep ReLU
  Networks with Linear Widths
On the Proof of Global Convergence of Gradient Descent for Deep ReLU Networks with Linear Widths
Quynh N. Nguyen
31
49
0
24 Jan 2021
1