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Global Convergence Rate of Deep Equilibrium Models with General Activations

Global Convergence Rate of Deep Equilibrium Models with General Activations

11 February 2023
Lan V. Truong
ArXivPDFHTML

Papers citing "Global Convergence Rate of Deep Equilibrium Models with General Activations"

4 / 4 papers shown
Title
Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit
  Models for High-dimensional Gaussian Mixtures
Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit Models for High-dimensional Gaussian Mixtures
Zenan Ling
Longbo Li
Zhanbo Feng
Yixuan Zhang
Feng Zhou
Robert C. Qiu
Zhenyu Liao
27
4
0
05 Feb 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
22
0
0
31 Aug 2023
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
27
5
0
16 May 2022
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
25
49
0
24 Jan 2021
1