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OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport

29 May 2020

Papers citing "OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport"

36 / 36 papers shown

Title
Local Flow Matching Generative Models Chen Xu Xiuyuan Cheng Yao Xie 130 2 0 03 Jan 2025
TangoFlux: Super Fast and Faithful Text to Audio Generation with Flow Matching and Clap-Ranked Preference Optimization Chia-Yu Hung Navonil Majumder Zhifeng Kong Ambuj Mehrish Rafael Valle Bryan Catanzaro Soujanya Poria Bryan Catanzaro Soujanya Poria 147 10 0 30 Dec 2024
Importance Corrected Neural JKO Sampling Johannes Hertrich Robert Gruhlke 102 2 0 29 Jul 2024
Generative Topological Networks Alona Levy-Jurgenson Z. Yakhini 127 0 0 21 Jun 2024
Computing high-dimensional optimal transport by flow neural networks Chen Xu Xiuyuan Cheng Yao Xie OT 146 5 0 19 May 2023
Discretize-Optimize vs. Optimize-Discretize for Time-Series Regression and Continuous Normalizing Flows Derek Onken Lars Ruthotto BDL 75 54 0 27 May 2020
How to train your neural ODE: the world of Jacobian and kinetic regularization Chris Finlay J. Jacobsen L. Nurbekyan Adam M. Oberman 73 302 0 07 Feb 2020
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 215 1,718 0 05 Dec 2019
A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems Lars Ruthotto Stanley Osher Wuchen Li L. Nurbekyan Samy Wu Fung AI4CE 152 220 0 04 Dec 2019
Discriminator optimal transport A. Tanaka OT 73 54 0 15 Oct 2019
Fluid Flow Mass Transport for Generative Networks Jingrong Lin Keegan Lensink Dirk Soffker GAN 70 8 0 03 Oct 2019
Potential Flow Generator with $L_2$ Optimal Transport Regularity for Generative Models Liu Yang George Karniadakis OT 58 43 0 29 Aug 2019
Unconstrained Monotonic Neural Networks Antoine Wehenkel Gilles Louppe TPM 256 149 0 14 Aug 2019
MadMiner: Machine learning-based inference for particle physics Johann Brehmer F. Kling Irina Espejo Kyle Cranmer 72 115 0 24 Jul 2019
Neural Spline Flows Conor Durkan Artur Bekasov Iain Murray George Papamakarios DRL 194 778 0 10 Jun 2019
ANODE: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs A. Gholami Kurt Keutzer George Biros 116 172 0 27 Feb 2019
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models Will Grathwohl Ricky T. Q. Chen J. Bettencourt Ilya Sutskever David Duvenaud DRL 163 881 0 02 Oct 2018
Monge-Ampère Flow for Generative Modeling Linfeng Zhang E. Weinan Lei Wang DRL 92 63 0 26 Sep 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 308 3,144 0 09 Jul 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 463 5,176 0 19 Jun 2018
Neural Autoregressive Flows Chin-Wei Huang David M. Krueger Alexandre Lacoste Aaron Courville DRL AI4CE 156 446 0 03 Apr 2018
Improving GANs Using Optimal Transport Tim Salimans Han Zhang Alec Radford Dimitris N. Metaxas OT GAN 84 324 0 15 Mar 2018
Computational Optimal Transport Gabriel Peyré Marco Cuturi OT 246 2,158 0 01 Mar 2018
On the Convergence and Robustness of Training GANs with Regularized Optimal Transport Maziar Sanjabi Jimmy Ba Meisam Razaviyayn Jason D. Lee GAN 92 139 0 22 Feb 2018
Maximum Principle Based Algorithms for Deep Learning Qianxiao Li Long Chen Cheng Tai E. Weinan 116 224 0 26 Oct 2017
A Geometric View of Optimal Transportation and Generative Model Na Lei Kehua Su Li-min Cui S. Yau X. Gu GAN OT 64 134 0 16 Oct 2017
Continuous-Time Flows for Efficient Inference and Density Estimation Changyou Chen Chunyuan Li Liquan Chen Wenlin Wang Yunchen Pu Lawrence Carin TPM 123 57 0 04 Sep 2017
Masked Autoregressive Flow for Density Estimation George Papamakarios Theo Pavlakou Iain Murray 229 1,360 0 19 May 2017
Improving Variational Inference with Inverse Autoregressive Flow Diederik P. Kingma Tim Salimans Rafal Jozefowicz Xi Chen Ilya Sutskever Max Welling BDL DRL 162 1,825 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 277 3,723 0 26 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,641 0 10 Dec 2015
A note on the evaluation of generative models Lucas Theis Aaron van den Oord Matthias Bethge EGVM 153 1,147 0 05 Nov 2015
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 324 4,198 0 21 May 2015
MADE: Masked Autoencoder for Distribution Estimation M. Germain Karol Gregor Iain Murray Hugo Larochelle OOD SyDa UQCV 193 874 0 12 Feb 2015
Generative Moment Matching Networks Yujia Li Kevin Swersky R. Zemel OOD GAN 127 847 0 10 Feb 2015
NICE: Non-linear Independent Components Estimation Laurent Dinh David M. Krueger Yoshua Bengio DRL BDL 146 2,269 0 30 Oct 2014