3 papers
cs.LG2026
PHAST: Port-Hamiltonian Architecture for Structured Temporal Dynamics Forecasting
Shubham Bhardwaj, Chandrajit Bajaj
Real physical systems are dissipative -- a pendulum slows, a circuit loses charge to heat -- and forecasting their dynamics from partial observations is a central challenge in scie…
astro-ph.HE2024
GRB Redshift Classifier to Follow-up High-Redshift GRBs Using Supervised Machine Learning
Maria Giovanna Dainotti, Shubham Bhardwaj, Christopher Cook +8
Gamma-ray bursts (GRBs) are intense, short-lived bursts of gamma-ray radiation observed up to a high redshift () due to their luminosities. Thus, they can serve as cosmo…
astro-ph.CO2024
Inferring the redshift of more than 150 GRBs with a Machine Learning Ensemble model
Maria Giovanna Dainotti, Elias Taira, Eric Wang +8
Gamma-Ray Bursts (GRBs), due to their high luminosities are detected up to redshift 10, and thus have the potential to be vital cosmological probes of early processes in the univer…