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

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

15 January 2020
Christina Gao
J. Isaacson
Claudius Krause
    AI4CE
ArXivPDFHTML

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

11 / 11 papers shown
Title
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
OffRL
LRM
53
0
0
04 Apr 2025
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
30
6
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
36
3
0
29 Apr 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
66
17
0
07 Feb 2024
Comparative Study of Coupling and Autoregressive Flows through Robust
  Statistical Tests
Comparative Study of Coupling and Autoregressive Flows through Robust Statistical Tests
A. Coccaro
Marco Letizia
H. Reyes-González
Riccardo Torre
OOD
30
5
0
23 Feb 2023
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
39
113
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
15
101
0
30 Nov 2021
Optimising simulations for diphoton production at hadron colliders using
  amplitude neural networks
Optimising simulations for diphoton production at hadron colliders using amplitude neural networks
Joseph Aylett-Bullock
S. Badger
Ryan Moodie
11
22
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
25
81
0
09 Jun 2021
Latent Space Refinement for Deep Generative Models
Latent Space Refinement for Deep Generative Models
R. Winterhalder
Marco Bellagente
Benjamin Nachman
BDL
GAN
DRL
DiffM
10
27
0
01 Jun 2021
Neural Network-Based Approach to Phase Space Integration
Neural Network-Based Approach to Phase Space Integration
Matthew D. Klimek
M. Perelstein
12
74
0
26 Oct 2018
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