RAPID: Early Classification of Explosive Transients using Deep Learning. - Daniel Muthukrishna; Gautham Narayan; Kaisey S. Mandel; Rahul Biswas; Renée Hlozek (CoRR, 2019)

Real-time detection of anomalies in large-scale transient surveys. - Daniel Muthukrishna; Kaisey S. Mandel; Michelle Lochner; Sara Webb; Gautham Narayan (CoRR, 2021)

Real-time Detection of Anomalies in Multivariate Time Series of Astronomical Data. - Daniel Muthukrishna; Kaisey S. Mandel; Michelle Lochner; Sara Webb; Gautham Narayan (CoRR, 2021)

Identifying Exoplanets with Deep Learning. V. Improved Light Curve Classification for TESS Full Frame Image Observations. - Evan Tey; Dan Moldovan; Michelle Kunimoto; Chelsea X. Huang; Avi Shporer; Tansu Daylan; Daniel Muthukrishna; Andrew Vanderburg; Anne Dattilo; George R. Ricker; S. Seager (CoRR, 2023)

Predicting the Age of Astronomical Transients from Real-Time Multivariate Time Series. - Hali Huang; Daniel Muthukrishna; Prajna Nair; Zimi Zhang; Michael Fausnaugh; Torsha Majumder; Ryan J. Foley; George R. Ricker (CoRR, 2023)

A Classifier-Based Approach to Multi-Class Anomaly Detection for Astronomical Transients. - Rithwik Gupta; Daniel Muthukrishna; Michelle Lochner (CoRR, 2024)

A Classifier-Based Approach to Multi-Class Anomaly Detection Applied to Astronomical Time-Series. - Rithwik Gupta; Daniel Muthukrishna; Michelle Lochner (CoRR, 2024)

Transfer Learning for Transient Classification: From Simulations to Real Data and ZTF to LSST. - Rithwik Gupta; Daniel Muthukrishna (CoRR, 2025)

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