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PIPPIN: Generating variable length full events from partons

PIPPIN: Generating variable length full events from partons

18 June 2024
Guillaume Quétant
J. A. Raine
Matthew Leigh
Debajyoti Sengupta
T. Golling
ArXivPDFHTML

Papers citing "PIPPIN: Generating variable length full events from partons"

9 / 9 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
100
7
0
04 Apr 2025
Full Event Particle-Level Unfolding with Variable-Length Latent Variational Diffusion
Full Event Particle-Level Unfolding with Variable-Length Latent Variational Diffusion
Alexander Shmakov
Kevin Greif
M. Fenton
A. Ghosh
Pierre Baldi
D. Whiteson
DiffM
147
10
0
22 Apr 2024
EPiC-ly Fast Particle Cloud Generation with Flow-Matching and Diffusion
EPiC-ly Fast Particle Cloud Generation with Flow-Matching and Diffusion
E. Buhmann
Cedric Ewen
D. Faroughy
T. Golling
Gregor Kasieczka
Matthew Leigh
Guillaume Quétant
J. A. Raine
Debajyoti Sengupta
David Shih
DiffM
77
28
0
29 Sep 2023
Attention to Mean-Fields for Particle Cloud Generation
Attention to Mean-Fields for Particle Cloud Generation
Benno Kach
I. Melzer-Pellmann
DiffM
42
15
0
24 May 2023
Elucidating the Design Space of Diffusion-Based Generative Models
Elucidating the Design Space of Diffusion-Based Generative Models
Tero Karras
M. Aittala
Timo Aila
S. Laine
DiffM
178
1,970
0
01 Jun 2022
Turbo-Sim: a generalised generative model with a physical latent space
Turbo-Sim: a generalised generative model with a physical latent space
Guillaume Quétant
M. Drozdova
Vitaliy Kinakh
T. Golling
Svyatoslav Voloshynovskiy
AI4CE
20
7
0
20 Dec 2021
CaloFlow II: Even Faster and Still Accurate Generation of Calorimeter
  Showers with Normalizing Flows
CaloFlow II: Even Faster and Still Accurate Generation of Calorimeter Showers with Normalizing Flows
Claudius Krause
David Shih
62
64
0
21 Oct 2021
Particle Cloud Generation with Message Passing Generative Adversarial
  Networks
Particle Cloud Generation with Message Passing Generative Adversarial Networks
Raghav Kansal
Javier Mauricio Duarte
Haoran Su
B. Orzari
T. Tomei
M. Pierini
M. Touranakou
J. Vlimant
Dimitrios Gunopulos
50
75
0
22 Jun 2021
Learning Particle Physics by Example: Location-Aware Generative
  Adversarial Networks for Physics Synthesis
Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics Synthesis
Luke de Oliveira
Michela Paganini
Benjamin Nachman
GAN
AI4CE
49
288
0
20 Jan 2017
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