Global Convergence of Over-parameterized Deep Equilibrium Models

27 May 2022

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

10 / 10 papers shown

Title
Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing Weizhi Gao Zhichao Hou Han Xu Xiaorui Liu AAML 34 0 0 01 Nov 2024
Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective Haixiang Sun Ye Shi 34 0 0 30 Oct 2024
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 52 0 0 11 Oct 2024
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 32 4 0 05 Feb 2024
On the Equivalence between Implicit and Explicit Neural Networks: A High-dimensional Viewpoint Zenan Ling Zhenyu Liao Robert C. Qiu 32 0 0 31 Aug 2023
Global Convergence Rate of Deep Equilibrium Models with General Activations Lan V. Truong 39 2 0 11 Feb 2023
Deep Equilibrium Approaches to Diffusion Models Ashwini Pokle Zhengyang Geng Zico Kolter DiffM 27 39 0 23 Oct 2022
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 Lifu Wang Bo Shen Bo Hu Xing Cao 31 8 0 29 Sep 2021
On the Proof of Global Convergence of Gradient Descent for Deep ReLU Networks with Linear Widths Quynh N. Nguyen 33 49 0 24 Jan 2021