v1v2v3v4 (latest)

JFB: Jacobian-Free Backpropagation for Implicit Networks

AAAI Conference on Artificial Intelligence (AAAI), 2021

23 March 2021

Stanley Osher

Papers citing "JFB: Jacobian-Free Backpropagation for Implicit Networks"

43 / 43 papers shown

Title
Equivariant Deep Equilibrium Models for Imaging Inverse Problems Alexander Mehta Ruangrawee Kitichotkul Vivek K Goyal Julián Tachella 119 0 0 24 Nov 2025
Gradient flow for deep equilibrium single-index models Sanjit Dandapanthula Aaditya Ramdas 144 0 0 21 Nov 2025
Bilevel Learning via Inexact Stochastic Gradient Descent Mohammad Salehi Subhadip Mukherjee Lindon Roberts Matthias Joachim Ehrhardt 93 0 0 10 Nov 2025
Implicit Models: Expressive Power Scales with Test-Time Compute Jialin Liu Lisang Ding Stanley Osher W. Yin 136 1 0 04 Oct 2025
Learning Regularization Functionals for Inverse Problems: A Comparative Study J. Hertrich Matthias Joachim Ehrhardt Alexander Denker Stanislas Ducotterd Zhenghan Fang ... German Shâma Wache Martin Zach Yasi Zhang Matthias Joachim Ehrhardt Sebastian Neumayer 124 3 0 02 Oct 2025
End-to-End Training of High-Dimensional Optimal Control with Implicit Hamiltonians via Jacobian-Free Backpropagation Eric Gelphman Deepanshu Verma Nicole Tianjiao Yang Stanley Osher Samy Wu Fung 155 0 0 01 Oct 2025
Reversible Deep Equilibrium Models Sam McCallum Kamran Arora James Foster 195 2 0 16 Sep 2025
DEQuify your force field: More efficient simulations using deep equilibrium models Andreas Burger Luca Thiede Alán Aspuru-Guzik Nandita Vijaykumar 94 0 0 10 Sep 2025
Minimizing Surrogate Losses for Decision-Focused Learning using Differentiable Optimization Jayanta Mandi Ali İrfan Mahmutoğulları Senne Berden Tias Guns 104 0 0 15 Aug 2025
Deep Equilibrium models for Poisson Imaging Inverse problems via Mirror Descent Christian Daniele Silvia Villa Samuel Vaiter Luca Calatroni 179 4 0 15 Jul 2025
You Only Look One Step: Accelerating Backpropagation in Diffusion Sampling with Gradient Shortcuts Hongkun Dou Zeyu Li Xingyu Jiang Haoyang Li Lijun Yang Wen Yao Yue Deng DiffM 488 0 0 12 May 2025
Fixed-Point RNNs: Interpolating from Diagonal to Dense Sajad Movahedi Felix Sarnthein Nicola Muca Cirone Antonio Orvieto 414 5 0 13 Mar 2025
PRDP: Progressively Refined Differentiable PhysicsInternational Conference on Learning Representations (ICLR), 2025 Kanishk Bhatia Felix Koehler Nils Thuerey AI4CE 308 1 0 26 Feb 2025
A Generalization Bound for a Family of Implicit Networks Samy Wu Fung Benjamin Berkels 413 3 0 28 Jan 2025
Accelerating AI Performance using Anderson Extrapolation on GPUs Saleem Al Dajani David Keyes 146 0 0 25 Oct 2024
Differentiation Through Black-Box Quadratic Programming Solvers Connor W. Magoon Fengyu Yang Noam Aigerman Shahar Z. Kovalsky 344 3 0 08 Oct 2024
On Logical Extrapolation for Mazes with Recurrent and Implicit Networks Brandon Knutson Amandin Chyba Rabeendran Michael Ivanitskiy Jordan Pettyjohn Cecilia G. Diniz Behn Samy Wu Fung Daniel McKenzie LRM 405 5 0 03 Oct 2024
Closed-Loop Long-Horizon Robotic Planning via Equilibrium Sequence Modeling Jinghan Li Zhicheng Sun Fei Li 626 2 0 02 Oct 2024
The Extrapolation Power of Implicit Models Juliette Decugis Alicia Y. Tsai Max Emerling Ashwin Ganesh L. Ghaoui 153 0 0 19 Jul 2024
Training Implicit Networks for Image Deblurring using Jacobian-Free Backpropagation Linghai Liu Shuaicheng Tong Lisa Zhao 192 1 0 03 Feb 2024
IDKM: Memory Efficient Neural Network Quantization via Implicit, Differentiable k-Means Sean Jaffe Ambuj K. Singh Francesco Bullo MQ 199 0 0 12 Dec 2023
Spike Accumulation Forwarding for Effective Training of Spiking Neural Networks Ryuji Saiin Tomoya Shirakawa Sota Yoshihara Yoshihide Sawada Hiroyuki Kusumoto 391 3 0 04 Oct 2023
Deep Equilibrium Object DetectionIEEE International Conference on Computer Vision (ICCV), 2023 Shuai Wang Yao Teng Limin Wang 274 13 0 18 Aug 2023
Test like you Train in Implicit Deep Learning Zaccharie Ramzi Pierre Ablin Gabriel Peyré Thomas Moreau 191 3 0 24 May 2023
Model-corrected learned primal-dual models for fast limited-view photoacoustic tomography A. Hauptmann Jenni Poimala MedIm 139 7 0 04 Apr 2023
Achieving Hierarchy-Free Approximation for Bilevel Programs With Equilibrium ConstraintsInternational Conference on Machine Learning (ICML), 2023 Jiayang Li Jiahao Yu Boyi Liu Zhaoran Wang Y. Nie 266 7 0 20 Feb 2023
Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis Zhu Wang Sourav Medya Sathya Ravi VLM 223 1 0 11 Feb 2023
Unlocking Slot Attention by Changing Optimal Transport CostsInternational Conference on Machine Learning (ICML), 2023 Yan Zhang David W. Zhang Damien Scieur Gertjan J. Burghouts Cees G. M. Snoek OCL 340 16 0 30 Jan 2023
Towards Vision Transformer Unrolling Fixed-Point Algorithm: a Case Study on Image Restoration Peng Qiao Sidun Liu Tao Sun Ke Yang Y. Dou ViT 175 2 0 29 Jan 2023
A Neural-Network-Based Convex Regularizer for Inverse ProblemsIEEE Transactions on Computational Imaging (TCI), 2022 Alexis Goujon Sebastian Neumayer Pakshal Bohra Stanislas Ducotterd M. Unser 329 39 0 22 Nov 2022
Online Training Through Time for Spiking Neural NetworksNeural Information Processing Systems (NeurIPS), 2022 Mingqing Xiao Qingyan Meng Zongpeng Zhang D.K. He Zhouchen Lin 259 89 0 09 Oct 2022
Self-Supervised Deep Equilibrium Models for Inverse Problems with Theoretical Guarantees Weijie Gan Chunwei Ying Parna Eshraghi Tongyao Wang C. Eldeniz Yuyang Hu Jiaming Liu Yasheng Chen Hongyu An Ulugbek S. Kamilov 148 4 0 07 Oct 2022
Alternating Differentiation for Optimization LayersInternational Conference on Learning Representations (ICLR), 2022 Haixiang Sun Ye Shi Jingya Wang H. Tuan H. Vincent Poor Dacheng Tao ODL 276 22 0 03 Oct 2022
Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-trainingInternational Conference on Machine Learning (ICML), 2022 Risheng Liu Xuan Liu Shangzhi Zeng Jin Zhang Yixuan Zhang 242 6 0 16 Jun 2022
Learned reconstruction methods with convergence guaranteesIEEE Signal Processing Magazine (IEEE Signal Process. Mag.), 2022 Subhadip Mukherjee A. Hauptmann Ozan Oktem Marcelo Pereyra Carola-Bibiane Schönlieb 373 64 0 11 Jun 2022
Online Deep Equilibrium Learning for Regularization by DenoisingNeural Information Processing Systems (NeurIPS), 2022 Jiaming Liu Xiaojian Xu Weijie Gan Shirin Shoushtari Ulugbek S. Kamilov 227 29 0 25 May 2022
Explainable AI via Learning to OptimizeScientific Reports (Sci Rep), 2022 Howard Heaton Samy Wu Fung 238 20 0 29 Apr 2022
Representation Recycling for Streaming Video Analysis Can Ufuk Ertenli R. G. Cinbis Emre Akbas 237 1 0 28 Apr 2022
Learning Deep Implicit Fourier Neural Operators (IFNOs) with Applications to Heterogeneous Material ModelingComputer Methods in Applied Mechanics and Engineering (CMAME), 2022 Huaiqian You Quinn Zhang Colton J. Ross Chung-Hao Lee Yue Yu AI4CE 235 128 0 15 Mar 2022
Continuous Deep Equilibrium Models: Training Neural ODEs faster by integrating them to InfinityIEEE Conference on High Performance Extreme Computing (HPEC), 2022 Avik Pal Alan Edelman Chris Rackauckas 186 8 0 28 Jan 2022
AdaViT: Adaptive Tokens for Efficient Vision Transformer Hongxu Yin Arash Vahdat J. Álvarez Arun Mallya Jan Kautz Pavlo Molchanov ViT 566 438 0 14 Dec 2021
Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation Yan Zhang David W. Zhang Damien Scieur Gertjan J. Burghouts Cees G. M. Snoek BDL 187 22 0 23 Nov 2021
Operator Splitting for Learning to Predict Equilibria in Convex Games Daniel McKenzie Howard Heaton Qiuwei Li Samy Wu Fung Stanley Osher Wotao Yin 278 0 0 02 Jun 2021