2 papers
astro-ph.HE2025
Cosmological Model Independent Constraints on Lorentz Invariance Violation with Updated Gamma-Ray Burst Observations: An Artificial Neural Network Approach
Jun Tian, Yu Pan, Shuo Cao +2
Searching for Lorentz invariance violation (LIV) using astrophysical sources such as gamma-ray bursts (GRBs) is crucial for probing quantum gravity. However, the dependence of LIV…
cs.LG2025
Learning and Interpreting Gravitational-Wave Features from CNNs with a Random Forest Approach
Jun Tian, He Wang, Jibo He +3
Convolutional neural networks (CNNs) have become widely adopted in gravitational wave (GW) detection pipelines due to their ability to automatically learn hierarchical features fro…