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Implicit Deep Learning

Implicit Deep Learning

17 August 2019
L. Ghaoui
Fangda Gu
Bertrand Travacca
Armin Askari
Alicia Y. Tsai
    AI4CE
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Papers citing "Implicit Deep Learning"

35 / 35 papers shown
Title
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
56
0
0
03 Mar 2025
A Generalization Bound for a Family of Implicit Networks
A Generalization Bound for a Family of Implicit Networks
Samy Wu Fung
Benjamin Berkels
41
0
0
28 Jan 2025
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
88
1
0
02 Oct 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
47
1
0
08 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
29
0
0
05 Jun 2024
Dynamic Neural Control Flow Execution: An Agent-Based Deep Equilibrium
  Approach for Binary Vulnerability Detection
Dynamic Neural Control Flow Execution: An Agent-Based Deep Equilibrium Approach for Binary Vulnerability Detection
Litao Li
Steven H. H. Ding
Andrew Walenstein
P. Charland
Benjamin C. M. Fung
24
0
0
03 Apr 2024
Monotone, Bi-Lipschitz, and Polyak-Lojasiewicz Networks
Monotone, Bi-Lipschitz, and Polyak-Lojasiewicz Networks
Ruigang Wang
Krishnamurthy Dvijotham
I. Manchester
19
5
0
02 Feb 2024
TorchDEQ: A Library for Deep Equilibrium Models
TorchDEQ: A Library for Deep Equilibrium Models
Zhengyang Geng
J. Zico Kolter
VLM
44
12
0
28 Oct 2023
Monotone deep Boltzmann machines
Monotone deep Boltzmann machines
Zhili Feng
Ezra Winston
J. Zico Kolter
16
1
0
11 Jul 2023
Stability of implicit neural networks for long-term forecasting in
  dynamical systems
Stability of implicit neural networks for long-term forecasting in dynamical systems
Léon Migus
J. Salomon
Patrick Gallinari
AI4TS
AI4CE
24
1
0
26 May 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
24
2
0
25 Apr 2023
Meta-Learning Parameterized First-Order Optimizers using Differentiable
  Convex Optimization
Meta-Learning Parameterized First-Order Optimizers using Differentiable Convex Optimization
Tanmay Gautam
Samuel Pfrommer
Somayeh Sojoudi
18
2
0
29 Mar 2023
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation
Rui Xue
Haoyu Han
MohamadAli Torkamani
Jian Pei
Xiaorui Liu
GNN
25
19
0
03 Feb 2023
Regularized Optimal Transport Layers for Generalized Global Pooling
  Operations
Regularized Optimal Transport Layers for Generalized Global Pooling Operations
Hongteng Xu
Minjie Cheng
24
4
0
13 Dec 2022
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
Revisiting Sparse Convolutional Model for Visual Recognition
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
29
27
0
24 Oct 2022
Deep Equilibrium Approaches to Diffusion Models
Deep Equilibrium Approaches to Diffusion Models
Ashwini Pokle
Zhengyang Geng
Zico Kolter
DiffM
22
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
16
3
0
30 Sep 2022
Learning differentiable solvers for systems with hard constraints
Learning differentiable solvers for systems with hard constraints
Geoffrey Negiar
Michael W. Mahoney
Aditi S. Krishnapriyan
16
28
0
18 Jul 2022
Transforming PageRank into an Infinite-Depth Graph Neural Network
Transforming PageRank into an Infinite-Depth Graph Neural Network
Andreas Roth
Thomas Liebig
GNN
31
13
0
01 Jul 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
EIGNN: Efficient Infinite-Depth Graph Neural Networks
EIGNN: Efficient Infinite-Depth Graph Neural Networks
Juncheng Liu
Kenji Kawaguchi
Bryan Hooi
Yiwei Wang
X. Xiao
GNN
23
37
0
22 Feb 2022
Learning soft interventions in complex equilibrium systems
Learning soft interventions in complex equilibrium systems
M. Besserve
Bernhard Schölkopf
16
3
0
10 Dec 2021
Multiset-Equivariant Set Prediction with Approximate Implicit
  Differentiation
Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation
Yan Zhang
David W. Zhang
Simon Lacoste-Julien
Gertjan J. Burghouts
Cees G. M. Snoek
BDL
33
21
0
23 Nov 2021
On Training Implicit Models
On Training Implicit Models
Zhengyang Geng
Xinyu Zhang
Shaojie Bai
Yisen Wang
Zhouchen Lin
56
69
0
09 Nov 2021
A global convergence theory for deep ReLU implicit networks via
  over-parameterization
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
Almost Surely Stable Deep Dynamics
Almost Surely Stable Deep Dynamics
Nathan P. Lawrence
Philip D. Loewen
M. Forbes
Johan U. Backstrom
R. Bhushan Gopaluni
BDL
19
20
0
26 Mar 2021
JFB: Jacobian-Free Backpropagation for Implicit Networks
JFB: Jacobian-Free Backpropagation for Implicit Networks
Samy Wu Fung
Howard Heaton
Qiuwei Li
Daniel McKenzie
Stanley Osher
W. Yin
FedML
30
83
0
23 Mar 2021
Deep Equilibrium Architectures for Inverse Problems in Imaging
Deep Equilibrium Architectures for Inverse Problems in Imaging
Davis Gilton
Greg Ongie
Rebecca Willett
33
179
0
16 Feb 2021
Implicit Graph Neural Networks
Implicit Graph Neural Networks
Fangda Gu
Heng Chang
Wenwu Zhu
Somayeh Sojoudi
L. Ghaoui
GNN
11
146
0
14 Sep 2020
Multiscale Deep Equilibrium Models
Multiscale Deep Equilibrium Models
Shaojie Bai
V. Koltun
J. Zico Kolter
BDL
16
211
0
15 Jun 2020
Monotone operator equilibrium networks
Monotone operator equilibrium networks
Ezra Winston
J. Zico Kolter
11
130
0
15 Jun 2020
Lifted Neural Networks
Lifted Neural Networks
Armin Askari
Geoffrey Negiar
Rajiv Sambharya
L. Ghaoui
26
37
0
03 May 2018
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
256
3,108
0
04 Nov 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
250
5,830
0
08 Jul 2016
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