Srideepika Jayaraman

13 papers A* 4Journal 6Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient Embedding-based Synthetic Data Generation for Complex Reasoning Tasks. CoRR Srideepika Jayaraman, Achille Fokoue, Dhaval Patel, Jayant Kalagnanam
2026	A*	`conf`	SPIRAL: Symbolic LLM Planning via Grounded and Reflective Search. AAAI Yifan Zhang, Giridhar Ganapavarapu, Srideepika Jayaraman, Bhavna Agrawal, Dhaval Patel, Achille Fokoue
2025	—	`conf`	Declarative Techniques for NL Queries over Heterogeneous Data. EMNLP (Industry Track) Elham Khabiri, Jeffrey O. Kephart, Fenno F. Terry Heath III, Srideepika Jayaraman, Yingjie Li, Fateh Tipu, Dhruv Shah, Achille Fokoue, Anuradha Bhamidipaty
2025	J	`jnl`	Declarative Techniques for NL Queries over Heterogeneous Data. CoRR Elham Khabiri, Jeffrey O. Kephart, Fenno F. Terry Heath III, Srideepika Jayaraman, Fateh Tipu, Yingjie Li, Dhruv Shah, Achille Fokoue, Anuradha Bhamidipaty
2025	J	`jnl`	LLM Assisted Anomaly Detection Service for Site Reliability Engineers: Enhancing Cloud Infrastructure Resilience. CoRR Nimesh Jha, Shuxin Lin, Srideepika Jayaraman, Kyle Frohling, Christodoulos Constantinides, Dhaval Patel
2025	J	`jnl`	SPIRAL: Symbolic LLM Planning via Grounded and Reflective Search. CoRR Yifan Zhang, Giridhar Ganapavarapu, Srideepika Jayaraman, Bhavna Agrawal, Dhaval Patel, Achille Fokoue
2024	J	`jnl`	A System and Benchmark for LLM-based Q&A on Heterogeneous Data. CoRR 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
2023	A*	`conf`	AI Model Factory: Scaling AI for Industry 4.0 Applications. AAAI Dhaval Patel, Shuxin Lin, Dhruv Shah, Srideepika Jayaraman, Joern Ploennigs, Anuradha Bhamidipati, Jayant Kalagnanam
2022	A*	`conf`	AnomalyKiTS: Anomaly Detection Toolkit for Time Series. AAAI Dhaval Patel, Giridhar Ganapavarapu, Srideepika Jayaraman, Shuxin Lin, Anuradha Bhamidipaty, Jayant Kalagnanam
2021	A*	`conf`	A Transformer-based Framework for Multivariate Time Series Representation Learning. KDD George Zerveas, Srideepika Jayaraman, Dhaval Patel, Anuradha Bhamidipaty, Carsten Eickhoff
2021	—	`conf`	Asset Modeling using Serverless Computing. IEEE BigData Srideepika Jayaraman, Chandra Reddy, Elham Khabiri, Dhaval Patel, Anuradha Bhamidipaty, Jayant Kalagnanam
2021	—	`conf`	Scaling Anomaly Detection Service Using Serverless Technology. IEEE BigData Dhaval Patel, Shuxin Lin, Srideepika Jayaraman, Giridhar Ganapavarapu, Anuradha Bhamidipaty, Jayant Kalagnanam
2020	J	`jnl`	A Transformer-based Framework for Multivariate Time Series Representation Learning. CoRR George Zerveas, Srideepika Jayaraman, Dhaval Patel, Anuradha Bhamidipaty, Carsten Eickhoff