ButterflyFlow: Building Invertible Layers with Butterfly Matrices

28 September 2022

Papers citing "ButterflyFlow: Building Invertible Layers with Butterfly Matrices"

33 / 33 papers shown

Title
Parallel Backpropagation for Inverse of a Convolution with Application to Normalizing Flows Sandeep Nagar Girish Varma TPM 81 0 0 18 Oct 2024
Video Diffusion Models Jonathan Ho Tim Salimans Alexey A. Gritsenko William Chan Mohammad Norouzi David J. Fleet DiffM VGen 227 1,642 0 07 Apr 2022
PaLM: Scaling Language Modeling with Pathways Aakanksha Chowdhery Sharan Narang Jacob Devlin Maarten Bosma Gaurav Mishra ... Kathy Meier-Hellstern Douglas Eck J. Dean Slav Petrov Noah Fiedel PILM LRM 535 6,301 0 05 Apr 2022
Densely connected normalizing flows Matej Grcić Ivan Grubišić Sinisa Segvic TPM 77 59 0 08 Jun 2021
Invertible DenseNets with Concatenated LipSwish Yura Perugachi-Diaz Jakub M. Tomczak Sandjai Bhulai 119 20 0 04 Feb 2021
Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps Tri Dao N. Sohoni Albert Gu Matthew Eichhorn Amit Blonder Megan Leszczynski Atri Rudra Christopher Ré 72 49 0 29 Dec 2020
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 382 6,586 0 26 Nov 2020
DiffWave: A Versatile Diffusion Model for Audio Synthesis Zhifeng Kong Ming-Yu Liu Jiaji Huang Kexin Zhao Bryan Catanzaro DiffM BDL 166 1,468 0 21 Sep 2020
NVAE: A Deep Hierarchical Variational Autoencoder Arash Vahdat Jan Kautz BDL 90 915 0 08 Jul 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 748 18,364 0 19 Jun 2020
The Convolution Exponential and Generalized Sylvester Flows Emiel Hoogeboom Victor Garcia Satorras Jakub M. Tomczak Max Welling 79 29 0 02 Jun 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 904 42,463 0 28 May 2020
Woodbury Transformations for Deep Generative Flows You Lu Bert Huang 51 16 0 27 Feb 2020
VFlow: More Expressive Generative Flows with Variational Data Augmentation Jianfei Chen Cheng Lu Biqi Chenli Jun Zhu Tian Tian DRL 68 63 0 22 Feb 2020
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 213 1,717 0 05 Dec 2019
Analyzing and Improving the Image Quality of StyleGAN Tero Karras S. Laine M. Aittala Janne Hellsten J. Lehtinen Timo Aila GAN 329 5,829 0 03 Dec 2019
Residual Flows for Invertible Generative Modeling Ricky T. Q. Chen Jens Behrmann David Duvenaud J. Jacobsen BDL TPM DRL 142 378 0 06 Jun 2019
Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations Tri Dao Albert Gu Matthew Eichhorn Atri Rudra Christopher Ré 118 108 0 14 Mar 2019
MaCow: Masked Convolutional Generative Flow Xuezhe Ma Xiang Kong Shanghang Zhang Eduard H. Hovy DRL 56 66 0 12 Feb 2019
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design Jonathan Ho Xi Chen A. Srinivas Yan Duan Pieter Abbeel DRL 88 451 0 01 Feb 2019
Emerging Convolutions for Generative Normalizing Flows Emiel Hoogeboom Rianne van den Berg Max Welling DRL 121 98 0 30 Jan 2019
Invertible Residual Networks Jens Behrmann Will Grathwohl Ricky T. Q. Chen David Duvenaud J. Jacobsen UQCV TPM 159 624 0 02 Nov 2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis Andrew Brock Jeff Donahue Karen Simonyan 274 5,404 0 28 Sep 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 305 3,144 0 09 Jul 2018
MolGAN: An implicit generative model for small molecular graphs Nicola De Cao Thomas Kipf GNN GAN 179 930 0 30 May 2018
Using transfer learning to detect galaxy mergers Sandro Ackermann Kevin Schawinski Ce Zhang Anna K. Weigel M. D. Turp 3DPC 53 111 0 25 May 2018
Parallel WaveNet: Fast High-Fidelity Speech Synthesis Aaron van den Oord Yazhe Li Igor Babuschkin Karen Simonyan Oriol Vinyals ... Alex Graves Helen King T. Walters Dan Belov Demis Hassabis 233 859 0 28 Nov 2017
Masked Autoregressive Flow for Density Estimation George Papamakarios Theo Pavlakou Iain Murray 220 1,360 0 19 May 2017
Automatic chemical design using a data-driven continuous representation of molecules Rafael Gómez-Bombarelli Jennifer N. Wei David Duvenaud José Miguel Hernández-Lobato Benjamín Sánchez-Lengeling Dennis Sheberla J. Aguilera-Iparraguirre Timothy D. Hirzel Ryan P. Adams Alán Aspuru-Guzik 3DV 180 2,939 0 07 Oct 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 277 3,722 0 26 May 2016
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 322 4,197 0 21 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 469 43,347 0 11 Feb 2015
NICE: Non-linear Independent Components Estimation Laurent Dinh David M. Krueger Yoshua Bengio DRL BDL 131 2,269 0 30 Oct 2014