Gravitational wave surrogates through automated machine learning. - Damián Barsotti; Franco Cerino; Manuel Tiglio; Aarón Villanueva (CoRR, 2021)

An automated parameter domain decomposition approach for gravitational wave surrogates using hp-greedy refinement. - Franco Cerino; J. Andrés Díaz Pace; Manuel Tiglio (CoRR, 2022)

Hyperparameter optimization of hp-greedy reduced basis for gravitational wave surrogates. - Franco Cerino; J. Andrés Díaz Pace; Emmanuel Tassone; Manuel Tiglio; Atuel Villegas (CoRR, 2023)

Building Machine Learning Challenges for Anomaly Detection in Science. - Elizabeth G. Campolongo; Yuan-Tang Chou; Ekaterina Govorkova; Wahid Bhimji; Wei-Lun Chao; Chris Harris; Shih-Chieh Hsu; Hilmar Lapp; Mark S. Neubauer; Josephine M. Namayanja; Aneesh Subramanian; Philip C. Harris; et al. (CoRR, 2025)