Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows

8 October 2021

Papers citing "Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows"

29 / 29 papers shown

Title
Trumpets: Injective Flows for Inference and Inverse Problems K. Kothari AmirEhsan Khorashadizadeh Maarten V. de Hoop Ivan Dokmanić TPM 41 50 0 20 Feb 2021
Benchmarking Invertible Architectures on Inverse Problems Jakob Kruse Lynton Ardizzone Carsten Rother Ullrich Kothe BDL 35 44 0 26 Jan 2021
Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging He Sun Katherine Bouman UQCV 45 73 0 27 Oct 2020
When and How Can Deep Generative Models be Inverted? Aviad Aberdam Dror Simon Michael Elad 58 13 0 28 Jun 2020
Normalizing Flows Across Dimensions Edmond Cunningham Renos Zabounidis Abhinav Agrawal Ina Fiterau Daniel Sheldon DRL 40 26 0 23 Jun 2020
Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators Takeshi Teshima Isao Ishikawa Koichi Tojo Kenta Oono Masahiro Ikeda Masashi Sugiyama 51 111 0 20 Jun 2020
Globally Injective ReLU Networks Michael Puthawala K. Kothari Matti Lassas Ivan Dokmanić Maarten V. de Hoop 50 28 0 15 Jun 2020
A Universal Approximation Theorem of Deep Neural Networks for Expressing Probability Distributions Yulong Lu Jianfeng Lu 25 19 0 19 Apr 2020
Flows for simultaneous manifold learning and density estimation Johann Brehmer Kyle Cranmer DRL AI4CE 84 162 0 31 Mar 2020
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 181 1,687 0 05 Dec 2019
Reverse-Engineering Deep ReLU Networks David Rolnick Konrad Paul Kording 62 103 0 02 Oct 2019
Inverting Deep Generative models, One layer at a time Qi Lei A. Jalal Inderjit S. Dhillon A. Dimakis 45 51 0 18 Jun 2019
Neural Spline Flows Conor Durkan Artur Bekasov Iain Murray George Papamakarios DRL 153 773 0 10 Jun 2019
HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference Jakob Kruse Gianluca Detommaso Ullrich Kothe Robert Scheichl 50 45 0 25 May 2019
Sum-of-Squares Polynomial Flow P. Jaini Kira A. Selby Yaoliang Yu TPM 48 142 0 07 May 2019
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models Will Grathwohl Ricky T. Q. Chen J. Bettencourt Ilya Sutskever David Duvenaud DRL 111 870 0 02 Oct 2018
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 47 489 0 14 Aug 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 269 3,124 0 09 Jul 2018
Neural Autoregressive Flows Chin-Wei Huang David M. Krueger Alexandre Lacoste Aaron Courville DRL AI4CE 120 441 0 03 Apr 2018
i-RevNet: Deep Invertible Networks J. Jacobsen A. Smeulders Edouard Oyallon 83 333 0 20 Feb 2018
Optimal approximation of continuous functions by very deep ReLU networks Dmitry Yarotsky 160 293 0 10 Feb 2018
The Reversible Residual Network: Backpropagation Without Storing Activations Aidan Gomez Mengye Ren R. Urtasun Roger C. Grosse 74 547 0 14 Jul 2017
Compressed Sensing using Generative Models Ashish Bora A. Jalal Eric Price A. Dimakis 124 808 0 09 Mar 2017
On the ability of neural nets to express distributions Holden Lee Rong Ge Tengyu Ma Andrej Risteski Sanjeev Arora BDL 64 84 0 22 Feb 2017
Wasserstein GAN Martín Arjovsky Soumith Chintala Léon Bottou GAN 163 4,825 0 26 Jan 2017
Error bounds for approximations with deep ReLU networks Dmitry Yarotsky 175 1,226 0 03 Oct 2016
Improving Variational Inference with Inverse Autoregressive Flow Diederik P. Kingma Tim Salimans Rafal Jozefowicz Xi Chen Ilya Sutskever Max Welling BDL DRL 117 1,816 0 15 Jun 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 237 78 0 26 May 2016
NICE: Non-linear Independent Components Estimation Laurent Dinh David M. Krueger Yoshua Bengio DRL BDL 121 2,257 0 30 Oct 2014