On the Theory of Implicit Deep Learning: Global Convergence with Implicit Layers

15 February 2021

Papers citing "On the Theory of Implicit Deep Learning: Global Convergence with Implicit Layers"

12 / 12 papers shown

Title
IM-BERT: Enhancing Robustness of BERT through the Implicit Euler Method Mihyeon Kim Juhyoung Park Youngbin Kim 24 0 0 11 May 2025
TorchDEQ: A Library for Deep Equilibrium Models Zhengyang Geng J. Zico Kolter VLM 44 12 0 28 Oct 2023
iMixer: hierarchical Hopfield network implies an invertible, implicit and iterative MLP-Mixer Toshihiro Ota Masato Taki 19 2 0 25 Apr 2023
Deep Equilibrium Approaches to Diffusion Models Ashwini Pokle Zhengyang Geng Zico Kolter DiffM 17 39 0 23 Oct 2022
MGNNI: Multiscale Graph Neural Networks with Implicit Layers Juncheng Liu Bryan Hooi Kenji Kawaguchi X. Xiao AI4CE 13 20 0 15 Oct 2022
On the optimization and generalization of overparameterized implicit neural networks Tianxiang Gao Hongyang Gao MLT AI4CE 13 3 0 30 Sep 2022
Stable Invariant Models via Koopman Spectra Takuya Konishi Yoshinobu Kawahara 11 3 0 15 Jul 2022
Deep Equilibrium Optical Flow Estimation Shaojie Bai Zhengyang Geng Yash Savani J. Zico Kolter 22 67 0 18 Apr 2022
EIGNN: Efficient Infinite-Depth Graph Neural Networks Juncheng Liu Kenji Kawaguchi Bryan Hooi Yiwei Wang X. Xiao GNN 23 37 0 22 Feb 2022
On Training Implicit Models Zhengyang Geng Xinyu Zhang Shaojie Bai Yisen Wang Zhouchen Lin 56 69 0 09 Nov 2021
A global convergence theory for deep ReLU implicit networks via over-parameterization Tianxiang Gao Hailiang Liu Jia Liu Hridesh Rajan Hongyang Gao MLT 18 16 0 11 Oct 2021
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 119 1,194 0 16 Aug 2016