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Stabilizing Equilibrium Models by Jacobian Regularization

Stabilizing Equilibrium Models by Jacobian Regularization

28 June 2021
Shaojie Bai
V. Koltun
J. Zico Kolter
ArXivPDFHTML

Papers citing "Stabilizing Equilibrium Models by Jacobian Regularization"

16 / 16 papers shown
Title
Constructing artificial life and materials scientists with accelerated
  AI using Deep AndersoNN
Constructing artificial life and materials scientists with accelerated AI using Deep AndersoNN
Saleem Al Dajani
David Keyes
AI4CE
39
0
0
29 Jul 2024
Solving Differential Equations using Physics-Informed Deep Equilibrium
  Models
Solving Differential Equations using Physics-Informed Deep Equilibrium Models
Bruno Machado Pacheco
E. Camponogara
31
0
0
05 Jun 2024
Looped Transformers are Better at Learning Learning Algorithms
Looped Transformers are Better at Learning Learning Algorithms
Liu Yang
Kangwook Lee
Robert D. Nowak
Dimitris Papailiopoulos
24
24
0
21 Nov 2023
TorchDEQ: A Library for Deep Equilibrium Models
TorchDEQ: A Library for Deep Equilibrium Models
Zhengyang Geng
J. Zico Kolter
VLM
52
12
0
28 Oct 2023
Improving equilibrium propagation without weight symmetry through
  Jacobian homeostasis
Improving equilibrium propagation without weight symmetry through Jacobian homeostasis
Axel Laborieux
Friedemann Zenke
10
6
0
05 Sep 2023
iMixer: hierarchical Hopfield network implies an invertible, implicit
  and iterative MLP-Mixer
iMixer: hierarchical Hopfield network implies an invertible, implicit and iterative MLP-Mixer
Toshihiro Ota
Masato Taki
29
2
0
25 Apr 2023
Deep equilibrium models as estimators for continuous latent variables
Deep equilibrium models as estimators for continuous latent variables
Russell Tsuchida
Cheng Soon Ong
30
8
0
11 Nov 2022
Deep Equilibrium Approaches to Diffusion Models
Deep Equilibrium Approaches to Diffusion Models
Ashwini Pokle
Zhengyang Geng
Zico Kolter
DiffM
24
39
0
23 Oct 2022
On the optimization and generalization of overparameterized implicit
  neural networks
On the optimization and generalization of overparameterized implicit neural networks
Tianxiang Gao
Hongyang Gao
MLT
AI4CE
19
3
0
30 Sep 2022
Stable Invariant Models via Koopman Spectra
Stable Invariant Models via Koopman Spectra
Takuya Konishi
Yoshinobu Kawahara
17
3
0
15 Jul 2022
Object Representations as Fixed Points: Training Iterative Refinement
  Algorithms with Implicit Differentiation
Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation
Michael Chang
Thomas L. Griffiths
Sergey Levine
OCL
57
59
0
02 Jul 2022
Explainable AI via Learning to Optimize
Explainable AI via Learning to Optimize
Howard Heaton
Samy Wu Fung
24
14
0
29 Apr 2022
Deep Equilibrium Optical Flow Estimation
Deep Equilibrium Optical Flow Estimation
Shaojie Bai
Zhengyang Geng
Yash Savani
J. Zico Kolter
27
67
0
18 Apr 2022
LyaNet: A Lyapunov Framework for Training Neural ODEs
LyaNet: A Lyapunov Framework for Training Neural ODEs
I. D. Rodriguez
Aaron D. Ames
Yisong Yue
33
49
0
05 Feb 2022
On Training Implicit Models
On Training Implicit Models
Zhengyang Geng
Xinyu Zhang
Shaojie Bai
Yisen Wang
Zhouchen Lin
59
69
0
09 Nov 2021
Megatron-LM: Training Multi-Billion Parameter Language Models Using
  Model Parallelism
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
M. Shoeybi
M. Patwary
Raul Puri
P. LeGresley
Jared Casper
Bryan Catanzaro
MoE
245
1,817
0
17 Sep 2019
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