On Training Implicit Models

9 November 2021

Papers citing "On Training Implicit Models"

50 / 51 papers shown

Title
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 Jonathan Geuter Clément Bonet Anna Korba David Alvarez-Melis 54 0 0 03 Mar 2025
PRDP: Progressively Refined Differentiable Physics Kanishk Bhatia Felix Koehler Nils Thuerey AI4CE 54 0 0 26 Feb 2025
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 Haixiang Sun Ye Shi 23 0 0 30 Oct 2024
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 Junchao Lin Zenan Ling Zhanbo Feng Feng Zhou Jingwen Xu Feng Zhou Tianqi Hou Zhenyu Liao Robert C. Qiu GNN AI4CE 40 0 0 11 Oct 2024
Differentiation Through Black-Box Quadratic Programming Solvers Connor W. Magoon Fengyu Yang Noam Aigerman Shahar Z. Kovalsky 20 0 0 08 Oct 2024
ClassContrast: Bridging the Spatial and Contextual Gaps for Node Representations Md Joshem Uddin Astrit Tola Varin Sikand Cüneyt Gürcan Akçora Baris Coskunuzer 24 1 0 03 Oct 2024
Closed-Loop Long-Horizon Robotic Planning via Equilibrium Sequence Modeling Jinghan Li Zhicheng Sun Fei Li 80 1 0 02 Oct 2024
Constructing artificial life and materials scientists with accelerated AI using Deep AndersoNN Saleem Al Dajani David Keyes AI4CE 26 0 0 29 Jul 2024
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 Anselm Paulus Georg Martius Vít Musil AI4CE 44 1 0 08 Jul 2024
Efficient and Effective Implicit Dynamic Graph Neural Network Yongjian Zhong Hieu Vu Tianbao Yang Bijaya Adhikari GNN 32 0 0 25 Jun 2024
Positive concave deep equilibrium models Mateusz Gabor Tomasz Piotrowski Renato L. G. Cavalcante 15 2 0 06 Feb 2024
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 Xingjian Bai Luke Melas-Kyriazi 13 3 0 16 Jan 2024
One-Step Diffusion Distillation via Deep Equilibrium Models Zhengyang Geng Ashwini Pokle Trevor Killeen 21 28 0 12 Dec 2023
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 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 Zhengyang Geng J. Zico Kolter VLM 44 12 0 28 Oct 2023
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 Shuai Wang Yao Teng Limin Wang 29 6 0 18 Aug 2023
Revisiting Implicit Models: Sparsity Trade-offs Capability in Weight-tied Model for Vision Tasks Haobo Song Soumajit Majumder Tao R. Lin VLM 10 0 0 16 Jul 2023
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 Zonghan Yang Tianyu Pang Yang Liu AAML 11 14 0 02 Jun 2023
One-step differentiation of iterative algorithms Jérôme Bolte Edouard Pauwels Samuel Vaiter 60 13 0 23 May 2023
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 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 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 Aiqing Zhu Tom S. Bertalan Beibei Zhu Yifa Tang Ioannis G. Kevrekidis 16 5 0 31 Mar 2023
Learning to Solve Integer Linear Programs with Davis-Yin Splitting Daniel McKenzie Samy Wu Fung Howard Heaton 27 4 0 31 Jan 2023
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 21 16 0 18 Nov 2022
Deep Equilibrium Approaches to Diffusion Models Ashwini Pokle Zhengyang Geng Zico Kolter DiffM 6 39 0 23 Oct 2022
Improving Object-centric Learning with Query Optimization Baoxiong Jia Yu Liu Siyuan Huang OCL 19 49 0 17 Oct 2022
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 Mingqing Xiao Qingyan Meng Zongpeng Zhang D.K. He Zhouchen Lin 32 59 0 09 Oct 2022
Alternating Differentiation for Optimization Layers Haixiang Sun Ye Shi Jingya Wang H. Tuan H. Vincent Poor Dacheng Tao ODL 29 14 0 03 Oct 2022
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 Zekun Li Zhengyang Geng Zhao Kang Wenyu Chen Yibo Yang 13 35 0 13 Jul 2022
Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation Michael Chang Thomas L. Griffiths Sergey Levine OCL 47 59 0 02 Jul 2022
Optimization-Induced Graph Implicit Nonlinear Diffusion Qi Chen Yifei Wang Yisen Wang Jiansheng Yang Zhouchen Lin DiffM 45 32 0 29 Jun 2022
Explainable AI via Learning to Optimize Howard Heaton Samy Wu Fung 16 14 0 29 Apr 2022
Deep Equilibrium Optical Flow Estimation Shaojie Bai Zhengyang Geng Yash Savani J. Zico Kolter 14 67 0 18 Apr 2022
Deep Equilibrium Models for Video Snapshot Compressive Imaging Yaping Zhao Siming Zheng Xin Yuan 40 19 0 18 Jan 2022
Is Attention Better Than Matrix Decomposition? Zhengyang Geng Meng-Hao Guo Hongxu Chen Xia Li Ke Wei Zhouchen Lin 48 134 0 09 Sep 2021
Operator Splitting for Learning to Predict Equilibria in Convex Games Daniel McKenzie Howard Heaton Qiuwei Li Samy Wu Fung Stanley Osher Wotao Yin 16 0 0 02 Jun 2021
Efficient and Modular Implicit Differentiation Mathieu Blondel Quentin Berthet Marco Cuturi Roy Frostig Stephan Hoyer Felipe Llinares-López Fabian Pedregosa Jean-Philippe Vert 25 213 0 31 May 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,568 0 09 Mar 2017
Forward and Reverse Gradient-Based Hyperparameter Optimization Luca Franceschi Michele Donini P. Frasconi Massimiliano Pontil 112 404 0 06 Mar 2017