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EPiC-ly Fast Particle Cloud Generation with Flow-Matching and Diffusion

EPiC-ly Fast Particle Cloud Generation with Flow-Matching and Diffusion

29 September 2023
E. Buhmann
Cedric Ewen
D. Faroughy
T. Golling
Gregor Kasieczka
Matthew Leigh
Guillaume Quétant
J. A. Raine
Debajyoti Sengupta
David Shih
    DiffM
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Papers citing "EPiC-ly Fast Particle Cloud Generation with Flow-Matching and Diffusion"

13 / 13 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
48
3
0
04 Apr 2025
Generative Unfolding with Distribution Mapping
Generative Unfolding with Distribution Mapping
A. Butter
S. Diefenbacher
Nathan Huetsch
Vinicius Mikuni
Benjamin Nachman
Sofia Palacios Schweitzer
Tilman Plehn
DiffM
33
1
0
04 Nov 2024
Variational inference for pile-up removal at hadron colliders with
  diffusion models
Variational inference for pile-up removal at hadron colliders with diffusion models
M. Algren
C. Pollard
J. A. Raine
T. Golling
19
0
0
29 Oct 2024
SIGMA: Single Interpolated Generative Model for Anomalies
SIGMA: Single Interpolated Generative Model for Anomalies
Ranit Das
David Shih
DiffM
33
2
0
27 Oct 2024
EventFlow: Forecasting Continuous-Time Event Data with Flow Matching
EventFlow: Forecasting Continuous-Time Event Data with Flow Matching
Gavin Kerrigan
Kai Nelson
Padhraic Smyth
AI4TS
35
1
0
09 Oct 2024
Calibrating Bayesian Generative Machine Learning for Bayesiamplification
Calibrating Bayesian Generative Machine Learning for Bayesiamplification
S. Bieringer
S. Diefenbacher
Gregor Kasieczka
Mathias Trabs
18
3
0
01 Aug 2024
PIPPIN: Generating variable length full events from partons
PIPPIN: Generating variable length full events from partons
Guillaume Quétant
J. A. Raine
Matthew Leigh
Debajyoti Sengupta
T. Golling
22
3
0
18 Jun 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
28
6
0
30 May 2024
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
108
9
0
22 Apr 2024
Improving new physics searches with diffusion models for event
  observables and jet constituents
Improving new physics searches with diffusion models for event observables and jet constituents
Debajyoti Sengupta
Matthew Leigh
J. A. Raine
Samuel Klein
T. Golling
DiffM
32
15
0
15 Dec 2023
Flow Matching Beyond Kinematics: Generating Jets with Particle-ID and Trajectory Displacement Information
Flow Matching Beyond Kinematics: Generating Jets with Particle-ID and Trajectory Displacement Information
Joschka Birk
E. Buhmann
Cedric Ewen
Gregor Kasieczka
David Shih
30
12
0
30 Nov 2023
DeepTreeGANv2: Iterative Pooling of Point Clouds
DeepTreeGANv2: Iterative Pooling of Point Clouds
M. Scham
D. Krücker
Kerstin Borras
3DPC
13
2
0
24 Nov 2023
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
29
64
0
21 Oct 2021
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