Multiscale Deep Equilibrium Models

15 June 2020

J. Zico Kolter

Papers citing "Multiscale Deep Equilibrium Models"

50 / 51 papers shown

Title
Ergodic Generative Flows Leo Maxime Brunswic Mateo Clemente Rui Heng Yang Adam Sigal Amir Rasouli Yinchuan Li 42 0 0 06 May 2025
DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient Flows Jonathan Geuter Clément Bonet Anna Korba David Alvarez-Melis 56 0 0 03 Mar 2025
Towards Scalable and Stable Parallelization of Nonlinear RNNs Xavier Gonzalez Andrew Warrington Jimmy T.H. Smith Scott W. Linderman 85 8 0 17 Jan 2025
Brain-like variational inference Hadi Vafaii Dekel Galor Jacob L. Yates DRL 49 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 52 0 0 11 Oct 2024
Closed-Loop Long-Horizon Robotic Planning via Equilibrium Sequence Modeling Jinghan Li Zhicheng Sun Fei Li 96 1 0 02 Oct 2024
Constructing artificial life and materials scientists with accelerated AI using Deep AndersoNN Saleem Al Dajani David Keyes AI4CE 39 0 0 29 Jul 2024
LPGD: A General Framework for Backpropagation through Embedded Optimization Layers Anselm Paulus Georg Martius Vít Musil AI4CE 49 1 0 08 Jul 2024
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 Zhengyang Geng J. Zico Kolter VLM 52 12 0 28 Oct 2023
On the Neural Tangent Kernel of Equilibrium Models Zhili Feng J. Zico Kolter 16 6 0 21 Oct 2023
On the Equivalence between Implicit and Explicit Neural Networks: A High-dimensional Viewpoint Zenan Ling Zhenyu Liao Robert C. Qiu 32 0 0 31 Aug 2023
Monotone deep Boltzmann machines Zhili Feng Ezra Winston J. Zico Kolter 22 1 0 11 Jul 2023
Deep Equilibrium Models Meet Federated Learning A. Gkillas D. Ampeliotis K. Berberidis FedML 29 3 0 29 May 2023
iMixer: hierarchical Hopfield network implies an invertible, implicit and iterative MLP-Mixer Toshihiro Ota Masato Taki 29 2 0 25 Apr 2023
SITReg: Multi-resolution architecture for symmetric, inverse consistent, and topology preserving image registration Joel Honkamaa P. Marttinen MedIm 24 2 0 17 Mar 2023
Locally Regularized Neural Differential Equations: Some Black Boxes Were Meant to Remain Closed! Avik Pal Alan Edelman Chris Rackauckas 22 3 0 03 Mar 2023
Global Convergence Rate of Deep Equilibrium Models with General Activations Lan V. Truong 37 2 0 11 Feb 2023
Reversible Column Networks Yuxuan Cai Yi Zhou Qi Han Jianjian Sun Xiangwen Kong Jun Yu Li Xiangyu Zhang VLM 31 53 0 22 Dec 2022
Deep equilibrium models as estimators for continuous latent variables Russell Tsuchida Cheng Soon Ong 30 8 0 11 Nov 2022
Measurement-Consistent Networks via a Deep Implicit Layer for Solving Inverse Problems Rahul Mourya João F. C. Mota 22 2 0 06 Nov 2022
Class Based Thresholding in Early Exit Semantic Segmentation Networks Alperen Görmez Erdem Koyuncu 23 5 0 27 Oct 2022
Revisiting Sparse Convolutional Model for Visual Recognition Xili Dai Mingyang Li Pengyuan Zhai Shengbang Tong Xingjian Gao Shao-Lun Huang Zhihui Zhu Chong You Y. Ma FAtt 35 27 0 24 Oct 2022
Deep Equilibrium Approaches to Diffusion Models Ashwini Pokle Zhengyang Geng Zico Kolter DiffM 24 39 0 23 Oct 2022
MGNNI: Multiscale Graph Neural Networks with Implicit Layers Juncheng Liu Bryan Hooi Kenji Kawaguchi X. Xiao AI4CE 24 20 0 15 Oct 2022
Variational Inference for Infinitely Deep Neural Networks Achille Nazaret David M. Blei BDL 23 11 0 21 Sep 2022
Fixed-Point Automatic Differentiation of Forward--Backward Splitting Algorithms for Partly Smooth Functions Sheheryar Mehmood Peter Ochs 33 3 0 05 Aug 2022
Stable Invariant Models via Koopman Spectra Takuya Konishi Yoshinobu Kawahara 17 3 0 15 Jul 2022
Global Convergence of Over-parameterized Deep Equilibrium Models Zenan Ling Xingyu Xie Qiuhao Wang Zongpeng Zhang Zhouchen Lin 27 12 0 27 May 2022
Explainable AI via Learning to Optimize Howard Heaton Samy Wu Fung 24 14 0 29 Apr 2022
Deep Equilibrium Optical Flow Estimation Shaojie Bai Zhengyang Geng Yash Savani J. Zico Kolter 27 67 0 18 Apr 2022
Improving Source Separation by Explicitly Modeling Dependencies Between Sources Ethan Manilow Curtis Hawthorne Cheng-Zhi Anna Huang Bryan Pardo Jesse Engel BDL 28 7 0 28 Mar 2022
EIGNN: Efficient Infinite-Depth Graph Neural Networks Juncheng Liu Kenji Kawaguchi Bryan Hooi Yiwei Wang X. Xiao GNN 25 37 0 22 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 75 43 0 01 Feb 2022
Deep Equilibrium Models for Video Snapshot Compressive Imaging Yaping Zhao Siming Zheng Xin Yuan 45 19 0 18 Jan 2022
Constraint-based graph network simulator Yulia Rubanova Alvaro Sanchez-Gonzalez Tobias Pfaff Peter W. Battaglia PINN AI4CE 25 28 0 16 Dec 2021
Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation Yan Zhang David W. Zhang Simon Lacoste-Julien Gertjan J. Burghouts Cees G. M. Snoek BDL 35 21 0 23 Nov 2021
On Training Implicit Models Zhengyang Geng Xinyu Zhang Shaojie Bai Yisen Wang Zhouchen Lin 59 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 23 16 0 11 Oct 2021
A Unified Efficient Pyramid Transformer for Semantic Segmentation Fangrui Zhu Yi Zhu Li Zhang Chongruo Wu Yanwei Fu Mu Li ViT 29 29 0 29 Jul 2021
Training Graph Neural Networks with 1000 Layers Guohao Li Matthias Muller Bernard Ghanem V. Koltun GNN AI4CE 34 235 0 14 Jun 2021
Resolution learning in deep convolutional networks using scale-space theory Silvia L.Pintea Nergis Tomen Stanley F. Goes Marco Loog J. C. V. Gemert SupR SSL 22 37 0 07 Jun 2021
SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models Zaccharie Ramzi Florian Mannel Shaojie Bai Jean-Luc Starck P. Ciuciu Thomas Moreau 29 28 0 01 Jun 2021
Memory-Efficient Differentiable Transformer Architecture Search Yuekai Zhao Li Dong Yelong Shen Zhihua Zhang Furu Wei Weizhu Chen ViT 24 17 0 31 May 2021
You Only Learn One Representation: Unified Network for Multiple Tasks Chien-Yao Wang I-Hau Yeh Hongpeng Liao SSL FedML 18 478 0 10 May 2021
Vision Transformers with Patch Diversification Chengyue Gong Dilin Wang Meng Li Vikas Chandra Qiang Liu ViT 37 62 0 26 Apr 2021
JFB: Jacobian-Free Backpropagation for Implicit Networks Samy Wu Fung Howard Heaton Qiuwei Li Daniel McKenzie Stanley Osher W. Yin FedML 35 84 0 23 Mar 2021
Dilated SpineNet for Semantic Segmentation Abdullah M. Rashwan Xianzhi Du Xiaoqi Yin Jing Li SSeg 15 7 0 23 Mar 2021
Implicit Feature Pyramid Network for Object Detection Tiancai Wang X. Zhang Jian-jun Sun ObjD 13 27 0 25 Dec 2020
Deep Isometric Learning for Visual Recognition Haozhi Qi Chong You X. Wang Yi-An Ma Jitendra Malik VLM 22 53 0 30 Jun 2020