ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2111.05177
  4. Cited By
On Training Implicit Models

On Training Implicit Models

9 November 2021
Zhengyang Geng
Xinyu Zhang
Shaojie Bai
Yisen Wang
Zhouchen Lin
ArXivPDFHTML

Papers citing "On Training Implicit Models"

50 / 51 papers shown
Title
Recovering Pulse Waves from Video Using Deep Unrolling and Deep Equilibrium Models
Recovering Pulse Waves from Video Using Deep Unrolling and Deep Equilibrium Models
Vineet Shenoy
Suhas Lohit
Hassan Mansour
Rama Chellappa
Tim K. Marks
39
0
0
21 Mar 2025
DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient Flows
DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient Flows
Jonathan Geuter
Clément Bonet
Anna Korba
David Alvarez-Melis
51
0
0
03 Mar 2025
PRDP: Progressively Refined Differentiable Physics
PRDP: Progressively Refined Differentiable Physics
Kanishk Bhatia
Felix Koehler
Nils Thuerey
AI4CE
52
0
0
26 Feb 2025
Neural Cellular Automata and Deep Equilibrium Models
Neural Cellular Automata and Deep Equilibrium Models
Zhibai Jia
29
0
0
08 Jan 2025
Understanding Representation of Deep Equilibrium Models from Neural
  Collapse Perspective
Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective
Haixiang Sun
Ye Shi
21
0
0
30 Oct 2024
Accelerating AI Performance using Anderson Extrapolation on GPUs
Accelerating AI Performance using Anderson Extrapolation on GPUs
Saleem Al Dajani
David Keyes
18
0
0
25 Oct 2024
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
38
0
0
11 Oct 2024
Differentiation Through Black-Box Quadratic Programming Solvers
Differentiation Through Black-Box Quadratic Programming Solvers
Connor W. Magoon
Fengyu Yang
Noam Aigerman
Shahar Z. Kovalsky
18
0
0
08 Oct 2024
ClassContrast: Bridging the Spatial and Contextual Gaps for Node
  Representations
ClassContrast: Bridging the Spatial and Contextual Gaps for Node Representations
Md Joshem Uddin
Astrit Tola
Varin Sikand
Cüneyt Gürcan Akçora
Baris Coskunuzer
19
1
0
03 Oct 2024
Closed-Loop Long-Horizon Robotic Planning via Equilibrium Sequence Modeling
Closed-Loop Long-Horizon Robotic Planning via Equilibrium Sequence Modeling
Jinghan Li
Zhicheng Sun
Fei Li
74
1
0
02 Oct 2024
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
24
0
0
29 Jul 2024
The Extrapolation Power of Implicit Models
The Extrapolation Power of Implicit Models
Juliette Decugis
Alicia Y. Tsai
Max Emerling
Ashwin Ganesh
L. Ghaoui
21
0
0
19 Jul 2024
LPGD: A General Framework for Backpropagation through Embedded
  Optimization Layers
LPGD: A General Framework for Backpropagation through Embedded Optimization Layers
Anselm Paulus
Georg Martius
Vít Musil
AI4CE
41
1
0
08 Jul 2024
Efficient and Effective Implicit Dynamic Graph Neural Network
Efficient and Effective Implicit Dynamic Graph Neural Network
Yongjian Zhong
Hieu Vu
Tianbao Yang
Bijaya Adhikari
GNN
22
0
0
25 Jun 2024
Positive concave deep equilibrium models
Positive concave deep equilibrium models
Mateusz Gabor
Tomasz Piotrowski
Renato L. G. Cavalcante
13
2
0
06 Feb 2024
Training Implicit Networks for Image Deblurring using Jacobian-Free
  Backpropagation
Training Implicit Networks for Image Deblurring using Jacobian-Free Backpropagation
Linghai Liu
Shuaicheng Tong
Lisa Zhao
8
1
0
03 Feb 2024
Fixed Point Diffusion Models
Fixed Point Diffusion Models
Xingjian Bai
Luke Melas-Kyriazi
11
3
0
16 Jan 2024
One-Step Diffusion Distillation via Deep Equilibrium Models
One-Step Diffusion Distillation via Deep Equilibrium Models
Zhengyang Geng
Ashwini Pokle
Trevor Killeen
19
28
0
12 Dec 2023
Deep Equilibrium Based Neural Operators for Steady-State PDEs
Deep Equilibrium Based Neural Operators for Steady-State PDEs
Tanya Marwah
Ashwini Pokle
J. Zico Kolter
Zachary Chase Lipton
Jianfeng Lu
Andrej Risteski
20
7
0
30 Nov 2023
Deep Equilibrium Diffusion Restoration with Parallel Sampling
Deep Equilibrium Diffusion Restoration with Parallel Sampling
Jiezhang Cao
Yue Shi
Kai Zhang
Yulun Zhang
Radu Timofte
Luc Van Gool
DiffM
17
9
0
20 Nov 2023
TorchDEQ: A Library for Deep Equilibrium Models
TorchDEQ: A Library for Deep Equilibrium Models
Zhengyang Geng
J. Zico Kolter
VLM
41
12
0
28 Oct 2023
Spike Accumulation Forwarding for Effective Training of Spiking Neural
  Networks
Spike Accumulation Forwarding for Effective Training of Spiking Neural Networks
Ryuji Saiin
Tomoya Shirakawa
Sota Yoshihara
Yoshihide Sawada
Hiroyuki Kusumoto
20
1
0
04 Oct 2023
Deep Equilibrium Object Detection
Deep Equilibrium Object Detection
Shuai Wang
Yao Teng
Limin Wang
24
5
0
18 Aug 2023
Revisiting Implicit Models: Sparsity Trade-offs Capability in
  Weight-tied Model for Vision Tasks
Revisiting Implicit Models: Sparsity Trade-offs Capability in Weight-tied Model for Vision Tasks
Haobo Song
Soumajit Majumder
Tao R. Lin
VLM
8
0
0
16 Jul 2023
Improving Adversarial Robustness of DEQs with Explicit Regulations Along
  the Neural Dynamics
Improving Adversarial Robustness of DEQs with Explicit Regulations Along the Neural Dynamics
Zonghan Yang
Peng Li
Tianyu Pang
Yang Liu
AAML
19
3
0
02 Jun 2023
A Closer Look at the Adversarial Robustness of Deep Equilibrium Models
A Closer Look at the Adversarial Robustness of Deep Equilibrium Models
Zonghan Yang
Tianyu Pang
Yang Liu
AAML
11
14
0
02 Jun 2023
One-step differentiation of iterative algorithms
One-step differentiation of iterative algorithms
Jérôme Bolte
Edouard Pauwels
Samuel Vaiter
60
13
0
23 May 2023
Efficient Training of Deep Equilibrium Models
Efficient Training of Deep Equilibrium Models
Bac Nguyen Cong
Lukas Mauch
11
0
0
23 Apr 2023
Leveraging sparse and shared feature activations for disentangled
  representation learning
Leveraging sparse and shared feature activations for disentangled representation learning
Marco Fumero
F. Wenzel
L. Zancato
Alessandro Achille
Emanuele Rodolà
Stefano Soatto
Bernhard Schölkopf
Francesco Locatello
OOD
DRL
27
21
0
17 Apr 2023
Recurrence without Recurrence: Stable Video Landmark Detection with Deep
  Equilibrium Models
Recurrence without Recurrence: Stable Video Landmark Detection with Deep Equilibrium Models
P. Micaelli
Arash Vahdat
Hongxu Yin
Jan Kautz
Pavlo Molchanov
10
10
0
02 Apr 2023
Implementation and (Inverse Modified) Error Analysis for
  implicitly-templated ODE-nets
Implementation and (Inverse Modified) Error Analysis for implicitly-templated ODE-nets
Aiqing Zhu
Tom S. Bertalan
Beibei Zhu
Yifa Tang
Ioannis G. Kevrekidis
11
5
0
31 Mar 2023
Learning to Solve Integer Linear Programs with Davis-Yin Splitting
Learning to Solve Integer Linear Programs with Davis-Yin Splitting
Daniel McKenzie
Samy Wu Fung
Howard Heaton
22
2
0
31 Jan 2023
Path Independent Equilibrium Models Can Better Exploit Test-Time
  Computation
Path Independent Equilibrium Models Can Better Exploit Test-Time Computation
Cem Anil
Ashwini Pokle
Kaiqu Liang
Johannes Treutlein
Yuhuai Wu
Shaojie Bai
Zico Kolter
Roger C. Grosse
19
16
0
18 Nov 2022
Deep Equilibrium Approaches to Diffusion Models
Deep Equilibrium Approaches to Diffusion Models
Ashwini Pokle
Zhengyang Geng
Zico Kolter
DiffM
4
39
0
23 Oct 2022
Improving Object-centric Learning with Query Optimization
Improving Object-centric Learning with Query Optimization
Baoxiong Jia
Yu Liu
Siyuan Huang
OCL
13
49
0
17 Oct 2022
MGNNI: Multiscale Graph Neural Networks with Implicit Layers
MGNNI: Multiscale Graph Neural Networks with Implicit Layers
Juncheng Liu
Bryan Hooi
Kenji Kawaguchi
X. Xiao
AI4CE
8
20
0
15 Oct 2022
Online Training Through Time for Spiking Neural Networks
Online Training Through Time for Spiking Neural Networks
Mingqing Xiao
Qingyan Meng
Zongpeng Zhang
D.K. He
Zhouchen Lin
32
59
0
09 Oct 2022
Alternating Differentiation for Optimization Layers
Alternating Differentiation for Optimization Layers
Haixiang Sun
Ye Shi
Jingya Wang
H. Tuan
H. Vincent Poor
Dacheng Tao
ODL
24
14
0
03 Oct 2022
State-driven Implicit Modeling for Sparsity and Robustness in Neural
  Networks
State-driven Implicit Modeling for Sparsity and Robustness in Neural Networks
Alicia Y. Tsai
Juliette Decugis
L. Ghaoui
Alper Atamtürk
22
3
0
19 Sep 2022
Eliminating Gradient Conflict in Reference-based Line-Art Colorization
Eliminating Gradient Conflict in Reference-based Line-Art Colorization
Zekun Li
Zhengyang Geng
Zhao Kang
Wenyu Chen
Yibo Yang
11
35
0
13 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
44
59
0
02 Jul 2022
Optimization-Induced Graph Implicit Nonlinear Diffusion
Optimization-Induced Graph Implicit Nonlinear Diffusion
Qi Chen
Yifei Wang
Yisen Wang
Jiansheng Yang
Zhouchen Lin
DiffM
42
32
0
29 Jun 2022
Explainable AI via Learning to Optimize
Explainable AI via Learning to Optimize
Howard Heaton
Samy Wu Fung
11
14
0
29 Apr 2022
Deep Equilibrium Optical Flow Estimation
Deep Equilibrium Optical Flow Estimation
Shaojie Bai
Zhengyang Geng
Yash Savani
J. Zico Kolter
12
67
0
18 Apr 2022
Deep Equilibrium Models for Video Snapshot Compressive Imaging
Deep Equilibrium Models for Video Snapshot Compressive Imaging
Yaping Zhao
Siming Zheng
Xin Yuan
34
19
0
18 Jan 2022
Is Attention Better Than Matrix Decomposition?
Is Attention Better Than Matrix Decomposition?
Zhengyang Geng
Meng-Hao Guo
Hongxu Chen
Xia Li
Ke Wei
Zhouchen Lin
43
134
0
09 Sep 2021
Operator Splitting for Learning to Predict Equilibria in Convex Games
Operator Splitting for Learning to Predict Equilibria in Convex Games
Daniel McKenzie
Howard Heaton
Qiuwei Li
Samy Wu Fung
Stanley Osher
Wotao Yin
14
0
0
02 Jun 2021
Efficient and Modular Implicit Differentiation
Efficient and Modular Implicit Differentiation
Mathieu Blondel
Quentin Berthet
Marco Cuturi
Roy Frostig
Stephan Hoyer
Felipe Llinares-López
Fabian Pedregosa
Jean-Philippe Vert
23
185
0
31 May 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
237
11,568
0
09 Mar 2017
Forward and Reverse Gradient-Based Hyperparameter Optimization
Forward and Reverse Gradient-Based Hyperparameter Optimization
Luca Franceschi
Michele Donini
P. Frasconi
Massimiliano Pontil
112
370
0
06 Mar 2017
12
Next