Prathamesh Dharangutte

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 14

Top Topics

Triangular Inequality

Anonymized Data

Top Venues

Publications

Prathamesh Dharangutte, Jie Gao, Ruobin Gong, Guanyang Wang
Differentially Private Range Queries with Correlated Input Perturbation. CoRR (2024)
Vladimir Braverman, Prathamesh Dharangutte, Vihan Shah, Chen Wang
Learning-augmented Maximum Independent Set. CoRR (2024)
MohammadHossein Bateni, Prathamesh Dharangutte, Rajesh Jayaram, Chen Wang
Metric Clustering and MST with Strong and Weak Distance Oracles. COLT (2024)
Prathamesh Dharangutte, Christopher Musco
A Tight Analysis of Hutchinson's Diagonal Estimator. SOSA (2023)
Prathamesh Dharangutte, Zongxing Xie, Jie Gao, Elinor Schoenfeld, Yindong Hua, Fan Ye
HeartInsightify: Interpreting Longitudinal Heart Rate Data for Health Insights through Conformal Clustering. BIBM (2023)
Prathamesh Dharangutte, Jie Gao, Ruobin Gong, Fang-Yi Yu
Integer Subspace Differential Privacy. AAAI (2023)
MohammadHossein Bateni, Prathamesh Dharangutte, Rajesh Jayaram, Chen Wang
Metric Clustering and MST with Strong and Weak Distance Oracles. CoRR (2023)
Prathamesh Dharangutte, Christopher Musco
A Tight Analysis of Hutchinson's Diagonal Estimator. CoRR (2022)
Prathamesh Dharangutte, Jie Gao, Ruobin Gong, Fang-Yi Yu
Integer Subspace Differential Privacy. CoRR (2022)
Prathamesh Dharangutte, Christopher Musco
Dynamic Trace Estimation. CoRR (2021)
Prathamesh Dharangutte, Christopher Musco
Graph Learning for Inverse Landscape Genetics. AAAI (2021)
John Y. Shin, Prathamesh Dharangutte
An Energy-Based View of Graph Neural Networks. CoRR (2021)
Prathamesh Dharangutte, Christopher Musco
Dynamic Trace Estimation. NeurIPS (2021)
Prathamesh Dharangutte, Christopher Musco
Graph Learning for Inverse Landscape Genetics. CoRR (2020)