arxiv
PublishedApril 3, 2026 at 4:00 AM
—neutral
Modeling Irregular Astronomical Time Series with Neural Stochastic Delay Differential Equations
Publisher summary· verbatim
arXiv:2508.17521v2 Announce Type: replace Abstract: Astronomical time series from large-scale surveys like LSST are often irregularly sampled and incomplete, posing challenges for classification and anomaly detection. We introduce a new framework based on Neural Stochastic Delay Differential Equatio
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivLLMs as Noisy Channels: A Shannon Perspective on Model Capacity and Scaling Laws9harxivBridging AI and Clinical Reasoning: Abductive Explanations for Alignment on Critical Symptoms9harxivCHASD: Language Increment-Calibrated Contrastive Decoding against Hallucination in LVLMs9harxivPrudent-Banker: No Extra Fees for Baseline Safety in Adversarial Bandits With and Without Delays9hThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗