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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 Flows

23 January 2023
Aditya Kallappa
Sandeep Nagar
Girish Varma
ArXiv (abs)PDFHTML

Papers citing "FInC Flow: Fast and Invertible $k \times k$ Convolutions for Normalizing Flows"

28 / 28 papers shown
Title
Parallel Backpropagation for Inverse of a Convolution with Application to Normalizing Flows
Parallel Backpropagation for Inverse of a Convolution with Application to Normalizing Flows
Sandeep Nagar
Girish Varma
TPM
74
0
0
18 Oct 2024
ButterflyFlow: Building Invertible Layers with Butterfly Matrices
ButterflyFlow: Building Invertible Layers with Butterfly Matrices
Chenlin Meng
Linqi Zhou
Kristy Choi
Tri Dao
Stefano Ermon
TPM
148
12
0
28 Sep 2022
Efficient-VDVAE: Less is more
Efficient-VDVAE: Less is more
Louay Hazami
Rayhane Mama
Ragavan Thurairatnam
BDL
64
28
0
25 Mar 2022
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
280
30,103
0
01 Mar 2022
Generative Flow Networks for Discrete Probabilistic Modeling
Generative Flow Networks for Discrete Probabilistic Modeling
Dinghuai Zhang
Nikolay Malkin
Ziqiang Liu
Alexandra Volokhova
Aaron Courville
Yoshua Bengio
57
108
0
03 Feb 2022
Maximum Likelihood Training of Score-Based Diffusion Models
Maximum Likelihood Training of Score-Based Diffusion Models
Yang Song
Conor Durkan
Iain Murray
Stefano Ermon
DiffM
160
670
0
22 Jan 2021
Score-Based Generative Modeling through Stochastic Differential
  Equations
Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song
Jascha Narain Sohl-Dickstein
Diederik P. Kingma
Abhishek Kumar
Stefano Ermon
Ben Poole
DiffMSyDa
344
6,480
0
26 Nov 2020
Self Normalizing Flows
Self Normalizing Flows
Thomas Anderson Keller
Jorn W. T. Peters
P. Jaini
Emiel Hoogeboom
Patrick Forré
Max Welling
56
14
0
14 Nov 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
650
18,276
0
19 Jun 2020
Woodbury Transformations for Deep Generative Flows
Woodbury Transformations for Deep Generative Flows
You Lu
Bert Huang
32
16
0
27 Feb 2020
PolyGen: An Autoregressive Generative Model of 3D Meshes
PolyGen: An Autoregressive Generative Model of 3D Meshes
C. Nash
Yaroslav Ganin
A. Eslami
Peter W. Battaglia
AI4CE
86
262
0
23 Feb 2020
Decision-Making with Auto-Encoding Variational Bayes
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
440
10,591
0
17 Feb 2020
MintNet: Building Invertible Neural Networks with Masked Convolutions
MintNet: Building Invertible Neural Networks with Masked Convolutions
Yang Song
Chenlin Meng
Stefano Ermon
48
68
0
18 Jul 2019
Generative Modeling by Estimating Gradients of the Data Distribution
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song
Stefano Ermon
SyDaDiffM
258
3,916
0
12 Jul 2019
An Introduction to Variational Autoencoders
An Introduction to Variational Autoencoders
Diederik P. Kingma
Max Welling
BDLSSLDRL
89
2,359
0
06 Jun 2019
MaCow: Masked Convolutional Generative Flow
MaCow: Masked Convolutional Generative Flow
Xuezhe Ma
Xiang Kong
Shanghang Zhang
Eduard H. Hovy
DRL
48
66
0
12 Feb 2019
Flow++: Improving Flow-Based Generative Models with Variational
  Dequantization and Architecture Design
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design
Jonathan Ho
Xi Chen
A. Srinivas
Yan Duan
Pieter Abbeel
DRL
84
449
0
01 Feb 2019
Emerging Convolutions for Generative Normalizing Flows
Emerging Convolutions for Generative Normalizing Flows
Emiel Hoogeboom
Rianne van den Berg
Max Welling
DRL
114
98
0
30 Jan 2019
Invertible Residual Networks
Invertible Residual Networks
Jens Behrmann
Will Grathwohl
Ricky T. Q. Chen
David Duvenaud
J. Jacobsen
UQCVTPM
130
624
0
02 Nov 2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Andrew Brock
Jeff Donahue
Karen Simonyan
264
5,401
0
28 Sep 2018
Glow: Generative Flow with Invertible 1x1 Convolutions
Glow: Generative Flow with Invertible 1x1 Convolutions
Diederik P. Kingma
Prafulla Dhariwal
BDLDRL
295
3,138
0
09 Jul 2018
WaveNet: A Generative Model for Raw Audio
WaveNet: A Generative Model for Raw Audio
Aaron van den Oord
Sander Dieleman
Heiga Zen
Karen Simonyan
Oriol Vinyals
Alex Graves
Nal Kalchbrenner
A. Senior
Koray Kavukcuoglu
DiffM
406
7,405
0
12 Sep 2016
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
272
3,702
0
26 May 2016
Variational Inference with Normalizing Flows
Variational Inference with Normalizing Flows
Danilo Jimenez Rezende
S. Mohamed
DRLBDL
318
4,197
0
21 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,260
0
22 Dec 2014
Deep Learning Face Attributes in the Wild
Deep Learning Face Attributes in the Wild
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
244
8,424
0
28 Nov 2014
NICE: Non-linear Independent Components Estimation
NICE: Non-linear Independent Components Estimation
Laurent Dinh
David M. Krueger
Yoshua Bengio
DRLBDL
126
2,261
0
30 Oct 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLMObjD
1.7K
39,590
0
01 Sep 2014
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