Matthew Leigh

According to our database, Matthew Leigh authored at least 9 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Is Tokenization Needed for Masked Particle Modelling?

Matthew Leigh, Samuel Klein, François Charton, Tobias Golling, Lukas Heinrich, Michael Kagan, Inês Ochoa, Margarita Osadchy

CoRR, 2024

PIPPIN: Generating variable length full events from partons.

Guillaume Quétant, John Andrew Raine, Matthew Leigh, Debajyoti Sengupta, Tobias Golling

CoRR, 2024

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

Lukas Heinrich, Tobias Golling, Michael Kagan, Samuel Klein, Matthew Leigh, Margarita Osadchy, John Andrew Raine

CoRR, 2024

2023

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

Debajyoti Sengupta, Matthew Leigh, John Andrew Raine, Samuel Klein, Tobias Golling

CoRR, 2023

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

Erik Buhmann, Cedric Ewen, Darius A. Faroughy, Tobias Golling, Gregor Kasieczka, Matthew Leigh, Guillaume Quétant, John Andrew Raine, Debajyoti Sengupta, David Shih

CoRR, 2023

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

Matthew Leigh, Debajyoti Sengupta, John Andrew Raine, Guillaume Quétant, Tobias Golling

CoRR, 2023

ν²-Flows: Fast and improved neutrino reconstruction in multi-neutrino final states with conditional normalizing flows.

John Andrew Raine, Matthew Leigh, Knut Zoch, Tobias Golling

CoRR, 2023

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

Matthew Leigh, Debajyoti Sengupta, Guillaume Quétant, John Andrew Raine, Knut Zoch, Tobias Golling

CoRR, 2023

2022

ν-Flows: Conditional Neutrino Regression.

Matthew Leigh, John Andrew Raine, Knut Zoch, Tobias Golling

CoRR, 2022