Sepanta Zeighami

According to our database, Sepanta Zeighami authored at least 21 papers between 2016 and 2024.

Collaborative distances:

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

2024

A Neural Database for Answering Aggregate Queries on Incomplete Relational Data.

Sepanta Zeighami, Raghav Seshadri, Cyrus Shahabi

IEEE Trans. Knowl. Data Eng., July, 2024

NUDGE: Lightweight Non-Parametric Fine-Tuning of Embeddings for Retrieval.

Sepanta Zeighami, Zac Wellmer, Aditya G. Parameswaran

CoRR, 2024

Towards Accurate and Efficient Document Analytics with Large Language Models.

Yiming Lin, Madelon Hulsebos, Ruiying Ma, Shreya Shankar, Sepanta Zeighami, Aditya G. Parameswaran, Eugene Wu

CoRR, 2024

BiasBuster: a Neural Approach for Accurate Estimation of Population Statistics using Biased Location Data.

Sepanta Zeighami, Cyrus Shahabi

Proceedings of the 25th IEEE International Conference on Mobile Data Management, 2024

Theoretical Analysis of Learned Database Operations under Distribution Shift through Distribution Learnability.

Sepanta Zeighami, Cyrus Shahabi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Towards Establishing Guaranteed Error for Learned Database Operations.

Sepanta Zeighami, Cyrus Shahabi

Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Neural Database for Answering Aggregate Queries on Incomplete Relational Data (Extended Abstract).

Sepanta Zeighami, Raghav Seshadri, Cyrus Shahabi

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

NeuroSketch: Fast and Approximate Evaluation of Range Aggregate Queries with Neural Networks.

Sepanta Zeighami, Cyrus Shahabi, Vatsal Sharan

Proc. ACM Manag. Data, 2023

A Neural Approach to Spatio-Temporal Data Release with User-Level Differential Privacy.

Ritesh Ahuja, Sepanta Zeighami, Gabriel Ghinita, Cyrus Shahabi

Proc. ACM Manag. Data, 2023

Supporting Pandemic Preparedness with Privacy Enhancing Technology.

Ruixuan Liu, Sepanta Zeighami, Haowen Lin, Cyrus Shahabi, Yang Cao, Shun Takagi, Yoko Konishi, Masatoshi Yoshikawa, Li Xiong

Proceedings of the 5th IEEE International Conference on Trust, 2023

On Distribution Dependent Sub-Logarithmic Query Time of Learned Indexing.

Sepanta Zeighami, Cyrus Shahabi

Proceedings of the International Conference on Machine Learning, 2023

2022

Toward Accurate Spatiotemporal COVID-19 Risk Scores Using High-Resolution Real-World Mobility Data.

Sirisha Rambhatla, Sepanta Zeighami, Kameron Shahabi, Cyrus Shahabi, Yan Liu

ACM Trans. Spatial Algorithms Syst., 2022

A Neural Database for Differentially Private Spatial Range Queries.

Sepanta Zeighami, Ritesh Ahuja, Gabriel Ghinita, Cyrus Shahabi

Proc. VLDB Endow., 2022

2021

Estimating Spread of Contact-Based Contagions in a Population Through Sub-Sampling.

Sepanta Zeighami, Cyrus Shahabi, John Krumm

Proc. VLDB Endow., 2021

NeuroDB: A Neural Network Framework for Answering Range Aggregate Queries and Beyond.

Sepanta Zeighami, Cyrus Shahabi

CoRR, 2021

Secure Dynamic Skyline Queries Using Result Materialization.

Sepanta Zeighami, Gabriel Ghinita, Cyrus Shahabi

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020

Towards Accurate Spatiotemporal COVID-19 Risk Scores using High Resolution Real-World Mobility Data.

Sirisha Rambhatla, Sepanta Zeighami, Kameron Shahabi, Cyrus Shahabi, Yan Liu

CoRR, 2020

Bridging the Gap Between Theory and Practice on Insertion-Intensive Database.

Sepanta Zeighami, Raymond Chi-Wing Wong

CoRR, 2020

Dynamic Skyline Queries on Encrypted Data Using Result Materialization.

Sepanta Zeighami, Gabriel Ghinita, Cyrus Shahabi

CoRR, 2020

2019

Finding Average Regret Ratio Minimizing Set in Database.

Sepanta Zeighami, Raymond Chi-Wing Wong

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2016

Minimizing Average Regret Ratio in Database.

Sepanta Zeighami, Raymond Chi-Wing Wong

Proceedings of the 2016 International Conference on Management of Data, 2016