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Transport away your problems: Calibrating stochastic simulations with
  optimal transport
v1v2 (latest)

Transport away your problems: Calibrating stochastic simulations with optimal transport

19 July 2021
Chris Pollard
Philipp Windischhofer
    OT
ArXiv (abs)PDFHTML

Papers citing "Transport away your problems: Calibrating stochastic simulations with optimal transport"

8 / 8 papers shown
Title
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
298
30,152
0
01 Mar 2022
Riemannian Convex Potential Maps
Riemannian Convex Potential Maps
Samuel N. Cohen
Brandon Amos
Y. Lipman
72
22
0
18 Jun 2021
Linearized Optimal Transport for Collider Events
Linearized Optimal Transport for Collider Events
Tianji Cai
Junyi Cheng
N. Craig
Katy Craig
OT
48
38
0
19 Aug 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
568
42,677
0
03 Dec 2019
Optimal transport mapping via input convex neural networks
Optimal transport mapping via input convex neural networks
Ashok Vardhan Makkuva
Amirhossein Taghvaei
Sewoong Oh
Jason D. Lee
OT
74
202
0
28 Aug 2019
Input Convex Neural Networks
Input Convex Neural Networks
Brandon Amos
Lei Xu
J. Zico Kolter
289
625
0
22 Sep 2016
Reweighting with Boosted Decision Trees
Reweighting with Boosted Decision Trees
A. Rogozhnikov
41
126
0
20 Aug 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,433
0
22 Dec 2014
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