One flow to correct them all: improving simulations in high-energy
physics with a single normalising flow and a switch

One flow to correct them all: improving simulations in high-energy physics with a single normalising flow and a switch

27 March 2024

Caio C. Daumann

Johannes Erdmann

Jan Lukas Späh

ArXiv (abs)PDF HTML

Papers citing "One flow to correct them all: improving simulations in high-energy physics with a single normalising flow and a switch"

15 / 15 papers shown

Title
Transport away your problems: Calibrating stochastic simulations with optimal transport Chris Pollard Philipp Windischhofer OT 34 8 0 19 Jul 2021
DCTRGAN: Improving the Precision of Generative Models with Reweighting S. Diefenbacher E. Eren Gregor Kasieczka A. Korol Benjamin Nachman David Shih 76 44 0 03 Sep 2020
Invertible Generative Modeling using Linear Rational Splines H. M. Dolatabadi S. Erfani C. Leckie 89 65 0 15 Jan 2020
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 213 1,718 0 05 Dec 2019
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
Neural Networks for Full Phase-space Reweighting and Parameter Tuning Anders Andreassen Benjamin Nachman 76 88 0 18 Jul 2019
Cubic-Spline Flows Conor Durkan Artur Bekasov Iain Murray George Papamakarios TPM 97 58 0 05 Jun 2019
Neural Importance Sampling Thomas Müller Brian McWilliams Fabrice Rousselle Markus Gross Jan Novák 73 364 0 11 Aug 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 308 3,144 0 09 Jul 2018
Masked Autoregressive Flow for Density Estimation George Papamakarios Theo Pavlakou Iain Murray 224 1,360 0 19 May 2017
Revisiting Classifier Two-Sample Tests David Lopez-Paz Maxime Oquab 192 406 0 20 Oct 2016
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 289 625 0 22 Sep 2016
Reweighting with Boosted Decision Trees A. Rogozhnikov 41 126 0 20 Aug 2016
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 350 8,179 0 13 Aug 2016
MADE: Masked Autoencoder for Distribution Estimation M. Germain Karol Gregor Iain Murray Hugo Larochelle OOD SyDa UQCV 189 874 0 12 Feb 2015