2 papers
cs.LG2024
Machine learning-driven Anomaly Detection and Forecasting for Euclid Space Telescope Operations
Pablo Gómez, Roland D. Vavrek, Guillermo Buenadicha +3
State-of-the-art space science missions increasingly rely on automation due to spacecraft complexity and the costs of human oversight. The high volume of data, including scientific…
cs.CL2024
Delving into the Utilisation of ChatGPT in Scientific Publications in Astronomy
Simone Astarita, Sandor Kruk, Jan Reerink +1
Rapid progress in the capabilities of machine learning approaches in natural language processing has culminated in the rise of large language models over the last two years. Recent…