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Generative modeling of time-dependent densities via optimal transport
  and projection pursuit

Generative modeling of time-dependent densities via optimal transport and projection pursuit

19 April 2023
Jonah Botvinick-Greenhouse
Yunan Yang
R. Maulik
    OT
ArXivPDFHTML

Papers citing "Generative modeling of time-dependent densities via optimal transport and projection pursuit"

13 / 13 papers shown
Title
Panda: A pretrained forecast model for universal representation of chaotic dynamics
Panda: A pretrained forecast model for universal representation of chaotic dynamics
Jeffrey Lai
Anthony Bao
William Gilpin
AI4TS
AI4CE
80
0
0
19 May 2025
MD-NOMAD: Mixture density nonlinear manifold decoder for emulating stochastic differential equations and uncertainty propagation
MD-NOMAD: Mixture density nonlinear manifold decoder for emulating stochastic differential equations and uncertainty propagation
Akshay Thakur
Souvik Chakraborty
53
1
0
24 Apr 2024
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
257
30,123
0
01 Mar 2022
Large-scale optimal transport map estimation using projection pursuit
Large-scale optimal transport map estimation using projection pursuit
Cheng Meng
Y. Ke
Jingyi Zhang
Mengrui Zhang
Wenxuan Zhong
Ping Ma
OT
42
38
0
09 Jun 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
DiffM
SyDa
323
6,444
0
26 Nov 2020
Multivariate Probabilistic Time Series Forecasting via Conditioned
  Normalizing Flows
Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows
Kashif Rasul
Abdul-Saboor Sheikh
Ingmar Schuster
Urs M. Bergmann
Roland Vollgraf
BDL
AI4TS
AI4CE
89
185
0
14 Feb 2020
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular
  Dynamics
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics
Alexander Tong
Jessie Huang
Guy Wolf
David van Dijk
Smita Krishnaswamy
62
170
0
09 Feb 2020
Quant GANs: Deep Generation of Financial Time Series
Quant GANs: Deep Generation of Financial Time Series
Magnus Wiese
R. Knobloch
R. Korn
Peter Kretschmer
GAN
AI4TS
AIFin
65
277
0
15 Jul 2019
Neural Jump Stochastic Differential Equations
Neural Jump Stochastic Differential Equations
Junteng Jia
Austin R. Benson
BDL
57
225
0
24 May 2019
Physics-Informed Generative Adversarial Networks for Stochastic
  Differential Equations
Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations
Siyu Dai
Shawn Schaffert
Andreas G. Hofmann
111
365
0
05 Nov 2018
Neural Ordinary Differential Equations
Neural Ordinary Differential Equations
T. Chen
Yulia Rubanova
J. Bettencourt
David Duvenaud
AI4CE
399
5,099
0
19 Jun 2018
Computational Optimal Transport
Computational Optimal Transport
Gabriel Peyré
Marco Cuturi
OT
211
2,146
0
01 Mar 2018
Kernel density estimation via diffusion
Kernel density estimation via diffusion
Z. Botev
J. Grotowski
D. Kroese
125
1,519
0
11 Nov 2010
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