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Invertible Monotone Operators for Normalizing Flows

Invertible Monotone Operators for Normalizing Flows

15 October 2022
Byeongkeun Ahn
Chiyoon Kim
Youngjoon Hong
Hyunwoo J. Kim
    TPM
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Papers citing "Invertible Monotone Operators for Normalizing Flows"

6 / 6 papers shown
Title
Learning Stable and Passive Neural Differential Equations
Learning Stable and Passive Neural Differential Equations
Jing Cheng
Ruigang Wang
I. Manchester
31
3
0
19 Apr 2024
Monotone, Bi-Lipschitz, and Polyak-Lojasiewicz Networks
Monotone, Bi-Lipschitz, and Polyak-Lojasiewicz Networks
Ruigang Wang
Krishnamurthy Dvijotham
I. Manchester
31
5
0
02 Feb 2024
Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection
Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection
Marco Rudolph
Tom Wehrbein
Bodo Rosenhahn
Bastian Wandt
UQCV
78
208
0
06 Oct 2021
Invertible Denoising Network: A Light Solution for Real Noise Removal
Invertible Denoising Network: A Light Solution for Real Noise Removal
Yang Liu
Zhenyue Qin
Saeed Anwar
Pan Ji
Dongwoo Kim
Sabrina Caldwell
Tom Gedeon
72
143
0
21 Apr 2021
Convex Potential Flows: Universal Probability Distributions with Optimal
  Transport and Convex Optimization
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization
Chin-Wei Huang
Ricky T. Q. Chen
Christos Tsirigotis
Aaron Courville
OT
119
95
0
10 Dec 2020
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
233
2,547
0
25 Jan 2016
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