Diffeomorphic Measure Matching with Kernels for Generative Modeling

12 February 2024

Papers citing "Diffeomorphic Measure Matching with Kernels for Generative Modeling"

28 / 28 papers shown

Title
Distribution learning via neural differential equations: a nonparametric statistical perspective Youssef Marzouk Zhi Ren Sven Wang Jakob Zech 58 12 0 03 Sep 2023
An Approximation Theory Framework for Measure-Transport Sampling Algorithms Ricardo Baptista Bamdad Hosseini Nikola B. Kovachki Youssef M. Marzouk A. Sagiv OT 85 17 0 27 Feb 2023
Wasserstein $K$ -means for clustering probability distributions Yubo Zhuang Xiaohui Chen Yun Yang 54 25 0 14 Sep 2022
Diffeomorphic Registration using Sinkhorn Divergences Lucas de Lara Alberto González Sanz Jean-Michel Loubes FedML 52 9 0 28 Jun 2022
An improved central limit theorem and fast convergence rates for entropic transportation costs E. del Barrio Alberto González Sanz Jean-Michel Loubes Jonathan Niles-Weed OT 57 35 0 19 Apr 2022
Universal approximation property of invertible neural networks Isao Ishikawa Takeshi Teshima Koichi Tojo Kenta Oono Masahiro Ikeda Masashi Sugiyama 85 31 0 15 Apr 2022
Sparse approximation of triangular transports. Part II: the infinite dimensional case Jakob Zech Youssef Marzouk 59 19 0 28 Jul 2021
Rates of Estimation of Optimal Transport Maps using Plug-in Estimators via Barycentric Projections Nabarun Deb Promit Ghosal B. Sen OT 105 75 0 04 Jul 2021
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 350 6,551 0 26 Nov 2020
OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport Derek Onken Samy Wu Fung Xingjian Li Lars Ruthotto OT 62 161 0 29 May 2020
Deep Learning via Dynamical Systems: An Approximation Perspective Qianxiao Li Ting Lin Zuowei Shen AI4TS AI4CE 75 108 0 22 Dec 2019
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 209 1,711 0 05 Dec 2019
Statistical Inference for Generative Models with Maximum Mean Discrepancy François‐Xavier Briol Alessandro Barp Andrew B. Duncan Mark Girolami 53 72 0 13 Jun 2019
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models Will Grathwohl Ricky T. Q. Chen J. Bettencourt Ilya Sutskever David Duvenaud DRL 154 881 0 02 Oct 2018
Spectral gaps and error estimates for infinite-dimensional Metropolis-Hastings with non-Gaussian priors Bamdad Hosseini J. Johndrow 22 8 0 30 Sep 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 417 5,156 0 19 Jun 2018
Deep Neural Networks Motivated by Partial Differential Equations Lars Ruthotto E. Haber AI4CE 124 491 0 12 Apr 2018
Demystifying MMD GANs Mikolaj Binkowski Danica J. Sutherland Michael Arbel Arthur Gretton EGVM 157 1,500 0 04 Jan 2018
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 180 694 0 15 Nov 2017
Masked Autoregressive Flow for Density Estimation George Papamakarios Theo Pavlakou Iain Murray 210 1,360 0 19 May 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 227 9,558 0 31 Mar 2017
Geometric MCMC for Infinite-Dimensional Inverse Problems A. Beskos Mark Girolami Shiwei Lan P. Farrell Andrew M. Stuart 58 144 0 20 Jun 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 287 4,807 0 04 Jan 2016
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 318 4,197 0 21 May 2015
Dimension-independent likelihood-informed MCMC Tiangang Cui K. Law Youssef M. Marzouk 56 199 0 13 Nov 2014
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances Marco Cuturi OT 218 4,288 0 04 Jun 2013
MCMC Methods for Functions: Modifying Old Algorithms to Make Them Faster S. Cotter Gareth O. Roberts Andrew M. Stuart D. White 99 480 0 03 Feb 2012
Kernels for Vector-Valued Functions: a Review Mauricio A. Alvarez Lorenzo Rosasco Neil D. Lawrence GP 210 929 0 30 Jun 2011