3 papers
cs.LG2026
BRICKS: Compositional Neural Markov Kernels for Zero-Shot Radiation-Matter Simulation
Richard Hildebrandt, Evangelos Kourlitis, Baran Hashemi +7
We introduce a new strategy for compositional neural surrogates for radiation-matter interactions, a key task spanning domains from particle physics through nuclear and space engin…
hep-ph2026
Explainable AI for Jet Tagging: A Comparative Study of GNNExplainer, GNNShap, and GradCAM for Jet Tagging in the Lund Jet Plane
Pahal D. Patel, Sanmay Ganguly
Graph neural networks such as ParticleNet and transformer based networks on point clouds such as ParticleTransformer achieve state-of-the-art performance on jet tagging benchmarks…
astro-ph.CO2024
Velocity recostruction with graph neural networks
Hideki Tanimura, Albert Bonnefous, Jia Liu +1
In this work, we seek to improve the velocity reconstruction of clusters by using Graph Neural Networks -- a type of deep neural network designed to analyze sparse, unstructured da…