Anomaly Detection for Multivariate Time Series of Exotic Supernovae. - V. Ashley Villar; Miles D. Cranmer; Gabriella Contardo; Shirley Ho; Joshua Yao-Yu Lin (CoRR, 2020)

A Deep Learning Approach for Active Anomaly Detection of Extragalactic Transients. - V. Ashley Villar; Miles D. Cranmer; Edo Berger; Gabriella Contardo; Shirley Ho; Griffin Hosseinzadeh; Joshua Yao-Yu Lin (CoRR, 2021)

Inferring Black Hole Properties from Astronomical Multivariate Time Series with Bayesian Attentive Neural Processes. - Ji Won Park; V. Ashley Villar; Yin Li 009; Yan-Fei Jiang; Shirley Ho; Joshua Yao-Yu Lin; Philip J. Marshall; Aaron Roodman (CoRR, 2021)

Machine Learning and Cosmology. - Cora Dvorkin; Siddharth Mishra-Sharma; Brian Nord; V. Ashley Villar; Camille Avestruz; Keith Bechtol; Aleksandra Ciprijanovic; Andrew J. Connolly; Lehman H. Garrison; Gautham Narayan; Francisco Villaescusa-Navarro (CoRR, 2022)

Maven: A Multimodal Foundation Model for Supernova Science. - Gemma Zhang; Thomas Helfer; Alexander T. Gagliano; Siddharth Mishra-Sharma; V. Ashley Villar (CoRR, 2024)

Causal Foundation Models: Disentangling Physics from Instrument Properties. - Jeroen Audenaert; Daniel Muthukrishna; Paul F. Gregory; David W. Hogg; V. Ashley Villar (CoRR, 2025)