Daniel Muthukrishna

According to our database, Daniel Muthukrishna authored at least 7 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Classifier-Based Approach to Multi-Class Anomaly Detection Applied to Astronomical Time-Series.

Rithwik Gupta, Daniel Muthukrishna, Michelle Lochner

CoRR, 2024

A Classifier-Based Approach to Multi-Class Anomaly Detection for Astronomical Transients.

Rithwik Gupta, Daniel Muthukrishna, Michelle Lochner

CoRR, 2024

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

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

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

Real-time detection of anomalies in large-scale transient surveys.

Daniel Muthukrishna, Kaisey S. Mandel, Michelle Lochner, Sara Webb, Gautham Narayan

CoRR, 2021

2019

RAPID: Early Classification of Explosive Transients using Deep Learning.

Daniel Muthukrishna, Gautham Narayan, Kaisey S. Mandel, Rahul Biswas, Renée Hlozek

CoRR, 2019