Daniel Muthukrishna

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 6

Top Topics

Multivariate Time Series

Anomaly Detection

Unsupervised Learning

Top Venues

Publications

Rithwik Gupta, Daniel Muthukrishna, Michelle Lochner
A Classifier-Based Approach to Multi-Class Anomaly Detection for Astronomical Transients. CoRR (2024)
Evan Tey, Dan Moldovan, Michelle Kunimoto, Chelsea X. Huang, Avi Shporer, Tansu Daylan, Daniel Muthukrishna, Andrew Vanderburg, Anne Dattilo, George R. Ricker, S. Seager
Identifying Exoplanets with Deep Learning. V. Improved Light Curve Classification for TESS Full Frame Image Observations. CoRR (2023)
Hali Huang, Daniel Muthukrishna, Prajna Nair, Zimi Zhang, Michael Fausnaugh, Torsha Majumder, Ryan J. Foley, George R. Ricker
Predicting the Age of Astronomical Transients from Real-Time Multivariate Time Series. CoRR (2023)
Daniel Muthukrishna, Kaisey S. Mandel, Michelle Lochner, Sara Webb, Gautham Narayan
Real-time Detection of Anomalies in Multivariate Time Series of Astronomical Data. CoRR (2021)
Daniel Muthukrishna, Kaisey S. Mandel, Michelle Lochner, Sara Webb, Gautham Narayan
Real-time detection of anomalies in large-scale transient surveys. CoRR (2021)
Daniel Muthukrishna, Gautham Narayan, Kaisey S. Mandel, Rahul Biswas, Renée Hlozek
RAPID: Early Classification of Explosive Transients using Deep Learning. CoRR (2019)