Sreelekha Guggilam

Orcid: 0000-0002-7795-2945

According to our database1, Sreelekha Guggilam authored at least 9 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2023
Large Deviations Anomaly Detection (LAD) for collection of multivariate time series data: Applications to COVID-19 data.
J. Comput. Sci., September, 2023

Large Deviations for Accelerating Neural Networks Training.
CoRR, 2023

An Agenda for Multimodal Foundation Models for Earth Observation.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Tracking clusters and anomalies in evolving data streams.
Stat. Anal. Data Min., 2022

Data-driven Humanitarian Mapping and Policymaking: Toward Planetary-Scale Resilience, Equity, and Sustainability.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Classifying Anomalous Members in a Collection of Multivariate Time Series Data Using Large Deviations Principle: An Application to COVID-19 Data.
Proceedings of the Computational Science - ICCS 2022, 2022

2021
Anomaly Detection for High-Dimensional Data Using Large Deviations Principle.
CoRR, 2021

2019
Integrated Clustering and Anomaly Detection (INCAD) for Streaming Data (Revised).
CoRR, 2019

Integrated Clustering and Anomaly Detection (INCAD) for Streaming Data.
Proceedings of the Computational Science - ICCS 2019, 2019


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