From the 1 of 4 linked papers with an AI index.
4 papers
Ab Initio Real-Time Gravitational-Wave Parameter Estimation
David Yallup, Metha Prathaban, James Alvey +4
The paper introduces a GPU‑optimized nested sampling algorithm that can perform rapid, full‑waveform gravitational‑wave parameter estimation for binary neutron star events, achievi…
Parallel Nested Slice Sampling for Gravitational Wave Parameter Estimation
David Yallup, Metha Prathaban, James Alvey +1
Inferring parameters and testing hypotheses from gravitational wave signals is a computationally intensive task central to modern astrophysics. Nested sampling, a Bayesian inferenc…
Gravitational-wave inference at GPU speed: A bilby-like nested sampling kernel within blackjax-ns
Metha Prathaban, David Yallup, James Alvey +3
We present a GPU-accelerated implementation of the gravitational-wave Bayesian inference pipeline for parameter estimation and model comparison. Specifically, we implement the `acc…
Scaling-laws for Large Time-series Models
Thomas D. P. Edwards, James Alvey, Justin Alsing +2
Scaling laws for large language models (LLMs) have provided useful guidance in training ever larger models for predictable performance gains. Time series forecasting shares a simil…