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i-flow: High-dimensional Integration and Sampling with Normalizing Flows
v1v2 (latest)

i-flow: High-dimensional Integration and Sampling with Normalizing Flows

15 January 2020
Christina Gao
J. Isaacson
Claudius Krause
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "i-flow: High-dimensional Integration and Sampling with Normalizing Flows"

27 / 27 papers shown
Online Difficulty Filtering for Reasoning Oriented Reinforcement Learning
Online Difficulty Filtering for Reasoning Oriented Reinforcement Learning
Sanghwan Bae
Jiwoo Hong
Min Young Lee
Hanbyul Kim
Jeongyeon Nam
Donghyun Kwak
OffRLLRM
450
7
0
04 Apr 2025
Extrapolating Jet Radiation with Autoregressive Transformers
Extrapolating Jet Radiation with Autoregressive Transformers
A. Butter
François Charton
Javier Marino Villadamigo
Ayodele Ore
Tilman Plehn
Jonas Spinner
285
5
0
16 Dec 2024
Convolutional L2LFlows: Generating Accurate Showers in Highly Granular
  Calorimeters Using Convolutional Normalizing Flows
Convolutional L2LFlows: Generating Accurate Showers in Highly Granular Calorimeters Using Convolutional Normalizing Flows
Thorsten Buss
F. Gaede
Gregor Kasieczka
Claudius Krause
David Shih
AI4CE
392
22
0
30 May 2024
Unifying Simulation and Inference with Normalizing Flows
Unifying Simulation and Inference with Normalizing Flows
Haoxing Du
Claudius Krause
Vinicius Mikuni
Benjamin Nachman
Ian Pang
David Shih
547
11
0
29 Apr 2024
BUFF: Boosted Decision Tree based Ultra-Fast Flow matching
BUFF: Boosted Decision Tree based Ultra-Fast Flow matching
Cheng Jiang
Sitian Qian
Huilin Qu
307
4
0
28 Apr 2024
An AI-powered Technology Stack for Solving Many-Electron Field Theory
An AI-powered Technology Stack for Solving Many-Electron Field Theory
Pengcheng Hou
Tao Wang
Daniel Cerkoney
X-D Cai
Zhiyi Li
Youjin Deng
Lei Wang
Kun Chen
AI4CE
266
1
0
28 Feb 2024
Improved off-policy training of diffusion samplers
Improved off-policy training of diffusion samplers
Marcin Sendera
Minsu Kim
Sarthak Mittal
Pablo Lemos
Luca Scimeca
Jarrid Rector-Brooks
Alexandre Adam
Yoshua Bengio
Nikolay Malkin
OffRL
856
45
0
07 Feb 2024
Rare Event Probability Learning by Normalizing Flows
Rare Event Probability Learning by Normalizing Flows
Zhenggqi Gao
Dinghuai Zhang
Luca Daniel
Duane S. Boning
210
3
0
29 Oct 2023
Variational autoencoder with weighted samples for high-dimensional
  non-parametric adaptive importance sampling
Variational autoencoder with weighted samples for high-dimensional non-parametric adaptive importance sampling
J. Demange-Chryst
François Bachoc
Jérome Morio
Timothé Krauth
339
4
0
13 Oct 2023
Diffusion Generative Flow Samplers: Improving learning signals through
  partial trajectory optimization
Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimizationInternational Conference on Learning Representations (ICLR), 2023
Dinghuai Zhang
Ricky Tian Qi Chen
Cheng-Hao Liu
Aaron C. Courville
Yoshua Bengio
472
64
0
04 Oct 2023
Calorimeter shower superresolution
Calorimeter shower superresolution
Ian Pang
C. Pollard
David Shih
DiffM
287
13
0
22 Aug 2023
Comparison of Affine and Rational Quadratic Spline Coupling and Autoregressive Flows through Robust Statistical Tests
Comparison of Affine and Rational Quadratic Spline Coupling and Autoregressive Flows through Robust Statistical Tests
A. Coccaro
Marco Letizia
H. Reyes-González
Riccardo Torre
OOD
349
6
0
23 Feb 2023
CaloFlow for CaloChallenge Dataset 1
CaloFlow for CaloChallenge Dataset 1SciPost Physics (SciPost Phys.), 2022
Claudius Krause
Ian Pang
David Shih
AI4CE
296
30
0
25 Oct 2022
Machine Learning in the Search for New Fundamental Physics
Machine Learning in the Search for New Fundamental Physics
G. Karagiorgi
Gregor Kasieczka
S. Kravitz
Benjamin Nachman
David Shih
AI4CE
263
151
0
07 Dec 2021
Path Integral Sampler: a stochastic control approach for sampling
Path Integral Sampler: a stochastic control approach for sampling
Qinsheng Zhang
Yongxin Chen
DiffM
399
172
0
30 Nov 2021
Comparing Machine Learning and Interpolation Methods for Loop-Level
  Calculations
Comparing Machine Learning and Interpolation Methods for Loop-Level Calculations
Ibrahim Chahrour
J. Wells
293
15
0
29 Nov 2021
Generative Networks for Precision Enthusiasts
Generative Networks for Precision EnthusiastsSciPost Physics (SciPost Phys.), 2021
A. Butter
Theo Heimel
Sander Hummerich
Tobias Krebs
Tilman Plehn
Armand Rousselot
Sophia Vent
AI4CE
431
66
0
22 Oct 2021
Optimising simulations for diphoton production at hadron colliders using
  amplitude neural networks
Optimising simulations for diphoton production at hadron colliders using amplitude neural networksJournal of High Energy Physics (JHEP), 2021
Joseph Aylett-Bullock
S. Badger
Ryan Moodie
361
37
0
17 Jun 2021
CaloFlow: Fast and Accurate Generation of Calorimeter Showers with
  Normalizing Flows
CaloFlow: Fast and Accurate Generation of Calorimeter Showers with Normalizing Flows
Claudius Krause
David Shih
AI4CE
418
93
0
09 Jun 2021
Latent Space Refinement for Deep Generative Models
Latent Space Refinement for Deep Generative Models
R. Winterhalder
Marco Bellagente
Benjamin Nachman
BDLGANDRLDiffM
371
28
0
01 Jun 2021
Understanding Event-Generation Networks via Uncertainties
Understanding Event-Generation Networks via UncertaintiesSciPost Physics (SciPost Phys.), 2021
Marco Bellagente
Manuel Haussmann
Michel Luchmann
Tilman Plehn
BDL
280
62
0
09 Apr 2021
Annealed Flow Transport Monte Carlo
Annealed Flow Transport Monte CarloInternational Conference on Machine Learning (ICML), 2021
Michael Arbel
A. G. Matthews
Arnaud Doucet
418
96
0
15 Feb 2021
Improved Neural Network Monte Carlo Simulation
Improved Neural Network Monte Carlo Simulation
I.-K. Chen
Matthew D. Klimek
M. Perelstein
210
42
0
16 Sep 2020
GANplifying Event Samples
GANplifying Event Samples
A. Butter
Yuan-Tang Chou
Gregor Kasieczka
Benjamin Nachman
Tilman Plehn
GAN
371
83
0
14 Aug 2020
Fully probabilistic quasar continua predictions near Lyman-α with
  conditional neural spline flows
Fully probabilistic quasar continua predictions near Lyman-α with conditional neural spline flows
D. Reiman
John Tamanas
J. Prochaska
Dominika Ďurovčíková
228
6
0
31 May 2020
VegasFlow: accelerating Monte Carlo simulation across multiple hardware
  platforms
VegasFlow: accelerating Monte Carlo simulation across multiple hardware platformsComputer Physics Communications (CPC), 2020
Stefano Carrazza
J. Cruz-Martinez
204
29
0
28 Feb 2020
Neural Network-Based Approach to Phase Space Integration
Neural Network-Based Approach to Phase Space Integration
Matthew D. Klimek
M. Perelstein
246
88
0
26 Oct 2018
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