3 papers
astro-ph.IM2026
OmniSpectra: A Unified Foundation Model for Native Resolution Astronomical Spectra
Md Khairul Islam, Judy Fox
We present OmniSpectra, the first native-resolution foundation model for astronomy spectra. Unlike traditional models, which are limited to fixed-length input sizes or configuratio…
cs.CV2025
Scalable Cosmic AI Inference using Cloud Serverless Computing
Mills Staylor, Amirreza Dolatpour Fathkouhi, Md Khairul Islam +4
Large-scale astronomical image data processing and prediction are essential for astronomers, providing crucial insights into celestial objects, the universe's history, and its evol…
cs.LG2024
WinTSR: A Windowed Temporal Saliency Rescaling Method for Interpreting Time Series Deep Learning Models
Md. Khairul Islam, Judy Fox
Interpreting complex time series forecasting models is challenging due to the temporal dependencies between time steps and the dynamic relevance of input features over time. Existi…