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2020 – today
- 2024
[i7]Rithwik Gupta, Daniel Muthukrishna, Michelle Lochner:
A Classifier-Based Approach to Multi-Class Anomaly Detection for Astronomical Transients. CoRR abs/2403.14742 (2024)- [i6]Rithwik Gupta, Daniel Muthukrishna, Michelle Lochner:
A Classifier-Based Approach to Multi-Class Anomaly Detection Applied to Astronomical Time-Series. CoRR abs/2408.08888 (2024) - 2023
- [i5]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 abs/2301.01371 (2023) - [i4]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 abs/2311.17143 (2023) - 2021
- [i3]Daniel Muthukrishna, Kaisey S. Mandel, Michelle Lochner, Sara Webb, Gautham Narayan:
Real-time detection of anomalies in large-scale transient surveys. CoRR abs/2111.00036 (2021) - [i2]Daniel Muthukrishna, Kaisey S. Mandel, Michelle Lochner, Sara Webb, Gautham Narayan:
Real-time Detection of Anomalies in Multivariate Time Series of Astronomical Data. CoRR abs/2112.08415 (2021)
2010 – 2019
- 2019
- [i1]Daniel Muthukrishna, Gautham Narayan, Kaisey S. Mandel, Rahul Biswas, Renée Hlozek:
RAPID: Early Classification of Explosive Transients using Deep Learning. CoRR abs/1904.00014 (2019)
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