John A. Raine

Orcid: 0000-0002-5987-4648

According to our database1, John A. Raine authored at least 19 papers between 2021 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
CURTAINs for your sliding window: Constructing unobserved regions by transforming adjacent intervals.
Frontiers Big Data, 2024

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

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

Flows for Flows: Morphing one Dataset into another with Maximum Likelihood Estimation.
CoRR, 2023

SuperCalo: Calorimeter shower super-resolution.
CoRR, 2023

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

Decorrelation using Optimal Transport.
CoRR, 2023

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

CURTAINs Flows For Flows: Constructing Unobserved Regions with Maximum Likelihood Estimation.
CoRR, 2023

Flow Away your Differences: Conditional Normalizing Flows as an Improvement to Reweighting.
CoRR, 2023

Topological Reconstruction of Particle Physics Processes using Graph Neural Networks.
CoRR, 2023

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

SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Flows for Flows: Training Normalizing Flows Between Arbitrary Distributions with Maximum Likelihood Estimation.
CoRR, 2022

ν-Flows: Conditional Neutrino Regression.
CoRR, 2022

SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics.
CoRR, 2022

2021
Funnels: Exact maximum likelihood with dimensionality reduction.
CoRR, 2021


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