Sepanta Zeighami

45 papers A* 9A 1B 1Journal 32Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Arming Data Agents with Tribal Knowledge. CoRR Shubham Agarwal, Asim Biswal, Sepanta Zeighami, Alvin Cheung, Joseph Gonzalez, Aditya G. Parameswaran
2026	J	`jnl`	Can AI Agents Answer Your Data Questions? A Benchmark for Data Agents. CoRR Ruiying Ma, Shreya Shankar, Ruiqi Chen, Yiming Lin, Sepanta Zeighami, Rajoshi Ghosh, Abhinav Gupta, Anushrut Gupta, Tanmai Gopal, Aditya G. Parameswaran
2026	A*	`conf`	RAG Without the Lag: Enabling "What-If" Analysis for Retrieval-Augmented Generation Pipelines. CHI Quentin Romero Lauro, Shreya Shankar, Sepanta Zeighami, Aditya G. Parameswaran
2026	A	`conf`	Supporting Our AI Overlords: Redesigning Data Systems to be Agent-First. CIDR Shu Liu, Soujanya Ponnapalli, Shreya Shankar, Sepanta Zeighami, Alan Zhu, Shubham Agarwal, Ruiqi Chen, Samion Suwito, Shuo Yuan, Ion Stoica, Matei Zaharia, Alvin Cheung, Natacha Crooks, Joseph Gonzalez, Aditya G. Parameswaran
2026	J	`jnl`	Task Cascades for Efficient Unstructured Data Processing. CoRR Shreya Shankar, Sepanta Zeighami, Aditya G. Parameswaran
2025	J	`jnl`	Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees. CoRR Sepanta Zeighami, Shreya Shankar, Aditya G. Parameswaran
2025	J	`jnl`	Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees. Proc. ACM Manag. Data Sepanta Zeighami, Shreya Shankar, Aditya G. Parameswaran
2025	J	`jnl`	Featurized-Decomposition Join: Low-Cost Semantic Joins with Guarantees. CoRR Sepanta Zeighami, Shreya Shankar, Aditya G. Parameswaran
2025	J	`jnl`	LLM-Powered Proactive Data Systems. CoRR Sepanta Zeighami, Yiming Lin, Shreya Shankar, Aditya G. Parameswaran
2025	J	`jnl`	LLM-Powered Proactive Data Systems. IEEE Data Eng. Bull. Sepanta Zeighami, Yiming Lin, Shreya Shankar, Aditya G. Parameswaran
2025	J	`jnl`	Multi-Objective Agentic Rewrites for Unstructured Data Processing. CoRR Lindsey Linxi Wei, Shreya Shankar, Sepanta Zeighami, Yeounoh Chung, Fatma Özcan, Aditya G. Parameswaran
2025	A*	`conf`	NUDGE: Lightweight Non-Parametric Fine-Tuning of Embeddings for Retrieval. ICLR Sepanta Zeighami, Zac Wellmer, Aditya G. Parameswaran
2025	A*	`conf`	Querying Templatized Document Collections with Large Language Models. ICDE Yiming Lin, Madelon Hulsebos, Ruiying Ma, Shreya Shankar, Sepanta Zeighami, Aditya G. Parameswaran, Eugene Wu
2025	J	`jnl`	RAG Without the Lag: Interactive Debugging for Retrieval-Augmented Generation Pipelines. CoRR Quentin Romero Lauro, Shreya Shankar, Sepanta Zeighami, Aditya G. Parameswaran
2025	J	`jnl`	Supporting Our AI Overlords: Redesigning Data Systems to be Agent-First. CoRR Shu Liu, Soujanya Ponnapalli, Shreya Shankar, Sepanta Zeighami, Alan Zhu, Shubham Agarwal, Ruiqi Chen, Samion Suwito, Shuo Yuan, Ion Stoica, Matei Zaharia, Alvin Cheung, Natacha Crooks, Joseph E. Gonzalez, Aditya G. Parameswaran
2024	A*	`conf`	A Neural Database for Answering Aggregate Queries on Incomplete Relational Data (Extended Abstract). ICDE Sepanta Zeighami, Raghav Seshadri, Cyrus Shahabi
2024	J	`jnl`	A Neural Database for Answering Aggregate Queries on Incomplete Relational Data. IEEE Trans. Knowl. Data Eng. Sepanta Zeighami, Raghav Seshadri, Cyrus Shahabi
2024	B	`conf`	BiasBuster: a Neural Approach for Accurate Estimation of Population Statistics using Biased Location Data. MDM Sepanta Zeighami, Cyrus Shahabi
2024	J	`jnl`	BiasBuster: a Neural Approach for Accurate Estimation of Population Statistics using Biased Location Data. CoRR Sepanta Zeighami, Cyrus Shahabi
2024	J	`jnl`	NUDGE: Lightweight Non-Parametric Fine-Tuning of Embeddings for Retrieval. CoRR Sepanta Zeighami, Zac Wellmer, Aditya G. Parameswaran
2024	A*	`conf`	Theoretical Analysis of Learned Database Operations under Distribution Shift through Distribution Learnability. ICML Sepanta Zeighami, Cyrus Shahabi
2024	J	`jnl`	Theoretical Analysis of Learned Database Operations under Distribution Shift through Distribution Learnability. CoRR Sepanta Zeighami, Cyrus Shahahbi
2024	J	`jnl`	Towards Accurate and Efficient Document Analytics with Large Language Models. CoRR Yiming Lin, Madelon Hulsebos, Ruiying Ma, Shreya Shankar, Sepanta Zeighami, Aditya G. Parameswaran, Eugene Wu
2024	A*	`conf`	Towards Establishing Guaranteed Error for Learned Database Operations. ICLR Sepanta Zeighami, Cyrus Shahabi
2024	J	`jnl`	Towards Establishing Guaranteed Error for Learned Database Operations. CoRR Sepanta Zeighami, Cyrus Shahabi
2023	J	`jnl`	A Neural Approach to Spatio-Temporal Data Release with User-Level Differential Privacy. Proc. ACM Manag. Data Ritesh Ahuja, Sepanta Zeighami, Gabriel Ghinita, Cyrus Shahabi
2023	J	`jnl`	NeuroSketch: Fast and Approximate Evaluation of Range Aggregate Queries with Neural Networks. Proc. ACM Manag. Data Sepanta Zeighami, Cyrus Shahabi, Vatsal Sharan
2023	A*	`conf`	On Distribution Dependent Sub-Logarithmic Query Time of Learned Indexing. ICML Sepanta Zeighami, Cyrus Shahabi
2023	J	`jnl`	On Distribution Dependent Sub-Logarithmic Query Time of Learned Indexing. CoRR Sepanta Zeighami, Cyrus Shahabi
2023	—	`conf`	Supporting Pandemic Preparedness with Privacy Enhancing Technology. TPS-ISA Ruixuan Liu, Sepanta Zeighami, Haowen Lin, Cyrus Shahabi, Yang Cao, Shun Takagi, Yoko Konishi, Masatoshi Yoshikawa, Li Xiong
2022	J	`jnl`	A Neural Approach to Spatio-Temporal Data Release with User-Level Differential Privacy. CoRR Ritesh Ahuja, Sepanta Zeighami, Gabriel Ghinita, Cyrus Shahabi
2022	J	`jnl`	A Neural Database for Differentially Private Spatial Range Queries. Proc. VLDB Endow. Sepanta Zeighami, Ritesh Ahuja, Gabriel Ghinita, Cyrus Shahabi
2022	J	`jnl`	NeuroSketch: Fast and Approximate Evaluation of Range Aggregate Queries with Neural Networks. CoRR Sepanta Zeighami, Cyrus Shahabi, Vatsal Sharan
2022	J	`jnl`	Toward Accurate Spatiotemporal COVID-19 Risk Scores Using High-Resolution Real-World Mobility Data. ACM Trans. Spatial Algorithms Syst. Sirisha Rambhatla, Sepanta Zeighami, Kameron Shahabi, Cyrus Shahabi, Yan Liu
2021	J	`jnl`	A Neural Database for Differentially Private Spatial Range Queries. CoRR Sepanta Zeighami, Ritesh Ahuja, Gabriel Ghinita, Cyrus Shahabi
2021	J	`jnl`	Estimating Spread of Contact-Based Contagions in a Population Through Sub-Sampling. Proc. VLDB Endow. Sepanta Zeighami, Cyrus Shahabi, John Krumm
2021	J	`jnl`	NeuroDB: A Neural Network Framework for Answering Range Aggregate Queries and Beyond. CoRR Sepanta Zeighami, Cyrus Shahabi
2021	A*	`conf`	Secure Dynamic Skyline Queries Using Result Materialization. ICDE Sepanta Zeighami, Gabriel Ghinita, Cyrus Shahabi
2020	J	`jnl`	Bridging the Gap Between Theory and Practice on Insertion-Intensive Database. CoRR Sepanta Zeighami, Raymond Chi-Wing Wong
2020	J	`jnl`	Dynamic Skyline Queries on Encrypted Data Using Result Materialization. CoRR Sepanta Zeighami, Gabriel Ghinita, Cyrus Shahabi
2020	J	`jnl`	Estimating Spread of Contact-Based Contagions in a Population Through Sub-Sampling. CoRR Sepanta Zeighami, Cyrus Shahabi, John Krumm
2020	J	`jnl`	Towards Accurate Spatiotemporal COVID-19 Risk Scores using High Resolution Real-World Mobility Data. CoRR Sirisha Rambhatla, Sepanta Zeighami, Kameron Shahabi, Cyrus Shahabi, Yan Liu
2019	A*	`conf`	Finding Average Regret Ratio Minimizing Set in Database. ICDE Sepanta Zeighami, Raymond Chi-Wing Wong
2018	J	`jnl`	Finding Average Regret Ratio Minimizing Set in Database. CoRR Sepanta Zeighami, Raymond Chi-Wing Wong
2016	—	`conf`	Minimizing Average Regret Ratio in Database. SIGMOD Conference Sepanta Zeighami, Raymond Chi-Wing Wong