Papers

• The Information Content of Quasar Variability Light Curves: How Well Can we Infer Stochastic Model Parameters? (2026)
  Brendon J. Brewer et al.
  1.89
• Data-Driven Forecasting of High-Dimensional Transient and Stationary Processes via Space-Time Projection (2025)
  Oliver T. Schmidt
  1.06
• Explainable classification of astronomical uncertain time series (2022)
  Michael Franklin Mbouopda (LIMOS et al.
  —
• Neural Inference of Gaussian Processes for Time Series Data of Quasars (2022)
  Egor Danilov et al.
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• Harnessing the Power of Adversarial Prompting and Large Language Models for Robust Hypothesis Generation in Astronomy (2023)
  Ioana Ciuc\u{a} et al.
  —