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Self Normalizing Flows
v1v2 (latest)

Self Normalizing Flows

International Conference on Machine Learning (ICML), 2020
14 November 2020
Thomas Anderson Keller
Jorn W. T. Peters
P. Jaini
Emiel Hoogeboom
Patrick Forré
Max Welling
ArXiv (abs)PDFHTML

Papers citing "Self Normalizing Flows"

12 / 12 papers shown
Hamiltonian Normalizing Flows as kinetic PDE solvers: application to the 1D Vlasov-Poisson Equations
Hamiltonian Normalizing Flows as kinetic PDE solvers: application to the 1D Vlasov-Poisson Equations
Vincent Souveton
Sébastien Terrana
370
1
0
07 May 2025
Parallel Backpropagation for Inverse of a Convolution with Application to Normalizing Flows
Parallel Backpropagation for Inverse of a Convolution with Application to Normalizing FlowsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Sandeep Nagar
Girish Varma
TPM
548
0
0
18 Oct 2024
Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow
Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow
Chen-Hao Chao
Chien Feng
Wei-Fang Sun
Cheng-Kuang Lee
Simon See
Chun-Yi Lee
338
23
0
22 May 2024
Deep Generative Model based Rate-Distortion for Image Downscaling
  Assessment
Deep Generative Model based Rate-Distortion for Image Downscaling AssessmentComputer Vision and Pattern Recognition (CVPR), 2024
Yuanbang Liang
Bhavesh Garg
Paul L. Rosin
Yipeng Qin
EGVM
367
4
0
22 Mar 2024
Free-form Flows: Make Any Architecture a Normalizing Flow
Free-form Flows: Make Any Architecture a Normalizing FlowInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Felix Dräxler
Peter Sorrenson
Lea Zimmermann
Armand Rousselot
Ullrich Kothe
TPMDRLAI4CEBDL
424
24
0
25 Oct 2023
A Review of Change of Variable Formulas for Generative Modeling
A Review of Change of Variable Formulas for Generative Modeling
Ullrich Kothe
316
14
0
04 Aug 2023
Lifting Architectural Constraints of Injective Flows
Lifting Architectural Constraints of Injective FlowsInternational Conference on Learning Representations (ICLR), 2023
Peter Sorrenson
Felix Dräxler
Armand Rousselot
Sander Hummerich
Leandro Zimmerman
Ullrich Kothe
TPMAI4CE
523
15
0
02 Jun 2023
Training Energy-Based Normalizing Flow with Score-Matching Objectives
Training Energy-Based Normalizing Flow with Score-Matching ObjectivesNeural Information Processing Systems (NeurIPS), 2023
Chen-Hao Chao
Wei-Fang Sun
Yen-Chang Hsu
Z. Kira
Chun-Yi Lee
395
7
0
24 May 2023
FInC Flow: Fast and Invertible $k \times k$ Convolutions for Normalizing
  Flows
FInC Flow: Fast and Invertible k×kk \times kk×k Convolutions for Normalizing FlowsVISIGRAPP (VISIGRAPP), 2023
Aditya Kallappa
Sandeep Nagar
Girish Varma
182
2
0
23 Jan 2023
RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid Network
RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid NetworkConference on Machine Learning and Systems (MLSys), 2022
Vitaliy Chiley
Vithursan Thangarasa
Abhay Gupta
Anshul Samar
Joel Hestness
D. DeCoste
264
14
0
28 Jun 2022
Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of
  Normalizing Flows
Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing FlowsInternational Conference on Machine Learning (ICML), 2022
Phillip Si
Zeyi Chen
Subham S. Sahoo
Yair Schiff
Volodymyr Kuleshov
278
9
0
14 Jun 2022
Orthonormal Convolutions for the Rotation Based Iterative
  Gaussianization
Orthonormal Convolutions for the Rotation Based Iterative GaussianizationInternational Conference on Information Photonics (ICIP), 2022
Valero Laparra
Alexander Hepburn
J. E. Johnson
Jesús Malo
314
5
0
08 Jun 2022
1
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