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Masked Particle Modeling on Sets: Towards Self-Supervised High Energy
  Physics Foundation Models

Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models

24 January 2024
T. Golling
Lukas Heinrich
Michael Kagan
Samuel Klein
Matthew Leigh
Margarita Osadchy
J. A. Raine
ArXivPDFHTML

Papers citing "Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models"

15 / 15 papers shown
Title
Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data
Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data
J. Giroux
C. Fanelli
21
0
0
13 May 2025
Particle Trajectory Representation Learning with Masked Point Modeling
Particle Trajectory Representation Learning with Masked Point Modeling
Sam Young
Yeon-jae Jwa
Kazuhiro Terao
3DPC
69
1
0
04 Feb 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
78
0
0
16 Dec 2024
Pretrained Event Classification Model for High Energy Physics Analysis
Pretrained Event Classification Model for High Energy Physics Analysis
Joshua Ho
Benjamin Ryan Roberts
Shuo Han
Haichen Wang
97
1
0
14 Dec 2024
Is Tokenization Needed for Masked Particle Modelling?
Is Tokenization Needed for Masked Particle Modelling?
Matthew Leigh
Samuel Klein
François Charton
Tobias Golling
Lukas Heinrich
Michael Kagan
Ines Ochoa
Margarita Osadchy
37
7
0
19 Sep 2024
TrackSorter: A Transformer-based sorting algorithm for track finding in
  High Energy Physics
TrackSorter: A Transformer-based sorting algorithm for track finding in High Energy Physics
Yash Melkani
Xiangyang Ju
37
1
0
31 Jul 2024
Calo-VQ: Vector-Quantized Two-Stage Generative Model in Calorimeter
  Simulation
Calo-VQ: Vector-Quantized Two-Stage Generative Model in Calorimeter Simulation
Qibin Liu
Chase Shimmin
Xiulong Liu
Eli Shlizerman
Shu Li
Shih-Chieh Hsu
DRL
MQ
40
7
0
10 May 2024
PAPERCLIP: Associating Astronomical Observations and Natural Language
  with Multi-Modal Models
PAPERCLIP: Associating Astronomical Observations and Natural Language with Multi-Modal Models
S. Mishra-Sharma
Yiding Song
Jesse Thaler
34
7
0
13 Mar 2024
Re-Simulation-based Self-Supervised Learning for Pre-Training Foundation Models
Re-Simulation-based Self-Supervised Learning for Pre-Training Foundation Models
Philip Harris
Michael Kagan
J. Krupa
B. Maier
Nathaniel Woodward
38
4
0
11 Mar 2024
OmniJet-$α$: The first cross-task foundation model for particle
  physics
OmniJet-ααα: The first cross-task foundation model for particle physics
Joschka Birk
Anna Hallin
Gregor Kasieczka
AI4CE
37
22
0
08 Mar 2024
Finetuning Foundation Models for Joint Analysis Optimization
Finetuning Foundation Models for Joint Analysis Optimization
M. Vigl
N. Hartman
L. Heinrich
43
12
0
24 Jan 2024
Towards Galaxy Foundation Models with Hybrid Contrastive Learning
Towards Galaxy Foundation Models with Hybrid Contrastive Learning
Mike Walmsley
I. V. Slijepcevic
Micah Bowles
A. Scaife
VLM
40
16
0
23 Jun 2022
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
326
5,785
0
29 Apr 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
255
4,781
0
24 Feb 2021
Permutationless Many-Jet Event Reconstruction with Symmetry Preserving
  Attention Networks
Permutationless Many-Jet Event Reconstruction with Symmetry Preserving Attention Networks
M. Fenton
Alexander Shmakov
Ta-Wei Ho
S. Hsu
D. Whiteson
Pierre Baldi
41
37
0
19 Oct 2020
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