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On the Approximation of Bi-Lipschitz Maps by Invertible Neural Networks

On the Approximation of Bi-Lipschitz Maps by Invertible Neural Networks

18 August 2023
Bangti Jin
Zehui Zhou
Jun Zou
ArXivPDFHTML

Papers citing "On the Approximation of Bi-Lipschitz Maps by Invertible Neural Networks"

18 / 18 papers shown
Title
Whitening Convergence Rate of Coupling-based Normalizing Flows
Whitening Convergence Rate of Coupling-based Normalizing Flows
Felix Dräxler
Christoph Schnörr
Ullrich Kothe
103
7
0
25 Oct 2022
Neural Network Approximation of Continuous Functions in High Dimensions
  with Applications to Inverse Problems
Neural Network Approximation of Continuous Functions in High Dimensions with Applications to Inverse Problems
Santhosh Karnik
Rongrong Wang
M. Iwen
36
2
0
28 Aug 2022
Deep neural networks can stably solve high-dimensional, noisy,
  non-linear inverse problems
Deep neural networks can stably solve high-dimensional, noisy, non-linear inverse problems
Andrés Felipe Lerma Pineda
P. Petersen
50
5
0
02 Jun 2022
Learning the solution operator of parametric partial differential
  equations with physics-informed DeepOnets
Learning the solution operator of parametric partial differential equations with physics-informed DeepOnets
Sizhuang He
Hanwen Wang
P. Perdikaris
AI4CE
95
699
0
19 Mar 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs,
  Normalizing Flows, Energy-Based and Autoregressive Models
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models
Sam Bond-Taylor
Adam Leach
Yang Long
Chris G. Willcocks
VLM
TPM
95
500
0
08 Mar 2021
BayesFlow: Learning complex stochastic models with invertible neural
  networks
BayesFlow: Learning complex stochastic models with invertible neural networks
Stefan T. Radev
U. Mertens
A. Voss
Lynton Ardizzone
Ullrich Kothe
BDL
288
197
0
13 Mar 2020
Semi-Supervised Learning with Normalizing Flows
Semi-Supervised Learning with Normalizing Flows
Pavel Izmailov
Polina Kirichenko
Marc Finzi
A. Wilson
DRL
BDL
82
114
0
30 Dec 2019
Deep Learning via Dynamical Systems: An Approximation Perspective
Deep Learning via Dynamical Systems: An Approximation Perspective
Qianxiao Li
Ting Lin
Zuowei Shen
AI4TS
AI4CE
69
107
0
22 Dec 2019
Normalizing Flows for Probabilistic Modeling and Inference
Normalizing Flows for Probabilistic Modeling and Inference
George Papamakarios
Eric T. Nalisnick
Danilo Jimenez Rezende
S. Mohamed
Balaji Lakshminarayanan
TPM
AI4CE
205
1,691
0
05 Dec 2019
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows
Guandao Yang
Xun Huang
Jinwei Gu
Ming-Yuan Liu
Serge J. Belongie
Bharath Hariharan
3DPC
99
667
0
28 Jun 2019
Augmented Neural ODEs
Augmented Neural ODEs
Emilien Dupont
Arnaud Doucet
Yee Whye Teh
BDL
144
628
0
02 Apr 2019
Analyzing Inverse Problems with Invertible Neural Networks
Analyzing Inverse Problems with Invertible Neural Networks
Lynton Ardizzone
Jakob Kruse
Sebastian J. Wirkert
D. Rahner
E. Pellegrini
R. Klessen
Lena Maier-Hein
Carsten Rother
Ullrich Kothe
55
493
0
14 Aug 2018
Glow: Generative Flow with Invertible 1x1 Convolutions
Glow: Generative Flow with Invertible 1x1 Convolutions
Diederik P. Kingma
Prafulla Dhariwal
BDL
DRL
292
3,129
0
09 Jul 2018
Neural Ordinary Differential Equations
Neural Ordinary Differential Equations
T. Chen
Yulia Rubanova
J. Bettencourt
David Duvenaud
AI4CE
414
5,103
0
19 Jun 2018
Neural Autoregressive Flows
Neural Autoregressive Flows
Chin-Wei Huang
David M. Krueger
Alexandre Lacoste
Aaron Courville
DRL
AI4CE
143
442
0
03 Apr 2018
i-RevNet: Deep Invertible Networks
i-RevNet: Deep Invertible Networks
J. Jacobsen
A. Smeulders
Edouard Oyallon
83
333
0
20 Feb 2018
The Reversible Residual Network: Backpropagation Without Storing
  Activations
The Reversible Residual Network: Backpropagation Without Storing Activations
Aidan Gomez
Mengye Ren
R. Urtasun
Roger C. Grosse
74
548
0
14 Jul 2017
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Dan Garber
Laurent Dinh
Chi Jin
Jascha Narain Sohl-Dickstein
Samy Bengio
Praneeth Netrapalli
Aaron Sidford
263
3,696
0
26 May 2016
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