Matthew Leigh

Orcid: 0000-0003-1406-1413

According to our database1, Matthew Leigh authored at least 12 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Salt: Multimodal Multitask Machine Learning for High Energy Physics.
J. Open Source Softw., August, 2025

Is tokenization needed for masked particle modeling?
Mach. Learn. Sci. Technol., 2025

2024
Masked particle modeling on sets: towards self-supervised high energy physics foundation models.
Mach. Learn. Sci. Technol., 2024

Enhancing generalization in high energy physics using white-box adversarial attacks.
CoRR, 2024

Is Tokenization Needed for Masked Particle Modelling?
CoRR, 2024

PIPPIN: Generating variable length full events from partons.
CoRR, 2024

2023
Improving new physics searches with diffusion models for event observables and jet constituents.
CoRR, 2023

EPiC-ly Fast Particle Cloud Generation with Flow-Matching and Diffusion.
CoRR, 2023

PC-Droid: Faster diffusion and improved quality for particle cloud generation.
CoRR, 2023

ν<sup>2</sup>-Flows: Fast and improved neutrino reconstruction in multi-neutrino final states with conditional normalizing flows.
CoRR, 2023

PC-JeDi: Diffusion for Particle Cloud Generation in High Energy Physics.
CoRR, 2023

2022
ν-Flows: Conditional Neutrino Regression.
CoRR, 2022


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