Srideepika Jayaraman

According to our database, Srideepika Jayaraman authored at least 7 papers between 2021 and 2025.

Collaborative distances:

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

2025

LLM Assisted Anomaly Detection Service for Site Reliability Engineers: Enhancing Cloud Infrastructure Resilience.

Nimesh Jha, Shuxin Lin, Srideepika Jayaraman, Kyle Frohling, Christodoulos Constantinides, Dhaval Patel

CoRR, January, 2025

2024

A System and Benchmark for LLM-based Q&A on Heterogeneous Data.

Achille Fokoue, Srideepika Jayaraman, Elham Khabiri, Jeffrey O. Kephart, Yingjie Li, Dhruv Shah, Youssef Drissi, Fenno F. Terry Heath III, Anuradha Bhamidipaty, Fateh Tipu, Robert J. Baseman

CoRR, 2024

2023

AI Model Factory: Scaling AI for Industry 4.0 Applications.

Dhaval Patel, Shuxin Lin, Dhruv Shah, Srideepika Jayaraman, Joern Ploennigs, Anuradha Bhamidipati, Jayant Kalagnanam

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

AnomalyKiTS: Anomaly Detection Toolkit for Time Series.

Dhaval Patel, Giridhar Ganapavarapu, Srideepika Jayaraman, Shuxin Lin, Anuradha Bhamidipaty, Jayant Kalagnanam

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A Transformer-based Framework for Multivariate Time Series Representation Learning.

George Zerveas, Srideepika Jayaraman, Dhaval Patel, Anuradha Bhamidipaty, Carsten Eickhoff

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Asset Modeling using Serverless Computing.

Srideepika Jayaraman, Chandra Reddy, Elham Khabiri, Dhaval Patel, Anuradha Bhamidipaty, Jayant Kalagnanam

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Scaling Anomaly Detection Service Using Serverless Technology.

Dhaval Patel, Shuxin Lin, Srideepika Jayaraman, Giridhar Ganapavarapu, Anuradha Bhamidipaty, Jayant Kalagnanam

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021