activity
20112023
most citedSearching for Exotic Particles in High-Energy Physics with Deep Learning

1.2k citations · 4.5k across the 78 of their papers we have counts for

collaborators

85 papers

hep-ex2023★ 10 cited

Reconstruction of Unstable Heavy Particles Using Deep Symmetry-Preserving Attention Networks

Michael James Fenton, Alexander Shmakov, Hideki Okawa +5

Reconstructing unstable heavy particles requires sophisticated techniques to sift through the large number of possible permutations for assignment of detector objects to the underl…

cs.LG2023

Selective Perception: Optimizing State Descriptions with Reinforcement Learning for Language Model Actors

Kolby Nottingham, Yasaman Razeghi, Kyungmin Kim +4

Large language models (LLMs) are being applied as actors for sequential decision making tasks in domains such as robotics and games, utilizing their general world knowledge and pla…

hep-ex2023★ 23 cited

End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics

Alexander Shmakov, Kevin Greif, Michael Fenton +3

High-energy collisions at the Large Hadron Collider (LHC) provide valuable insights into open questions in particle physics. However, detector effects must be corrected before meas…

physics.ins-det2023★ 10 cited

Generalizing to new geometries with Geometry-Aware Autoregressive Models (GAAMs) for fast calorimeter simulation

Junze Liu, Aishik Ghosh, Dylan Smith +2

Generation of simulated detector response to collision products is crucial to data analysis in particle physics, but computationally very expensive. One subdetector, the calorimete…

astro-ph.HE2023

Deducing Neutron Star Equation of State from Telescope Spectra with Machine-learning-derived Likelihoods

Delaney Farrell, Pierre Baldi, Jordan Ott +6

The interiors of neutron stars reach densities and temperatures beyond the limits of terrestrial experiments, providing vital laboratories for probing nuclear physics. While the st…

cs.LG2023★ 2 cited

Interpretable Joint Event-Particle Reconstruction for Neutrino Physics at NOvA with Sparse CNNs and Transformers

Alexander Shmakov, Alejandro Yankelevich, Jianming Bian +1

The complex events observed at the NOvA long-baseline neutrino oscillation experiment contain vital information for understanding the most elusive particles in the standard model.…