DEANN: Speeding up Kernel-Density Estimation using Approximate Nearest Neighbor Search

6 July 2021

Papers citing "DEANN: Speeding up Kernel-Density Estimation using Approximate Nearest Neighbor Search"

6 / 6 papers shown

Title
LMD3: Language Model Data Density Dependence John Kirchenbauer Garrett Honke Gowthami Somepalli Jonas Geiping Daphne Ippolito Katherine Lee Tom Goldstein David Andre 35 6 0 10 May 2024
Closed-Form Diffusion Models Christopher Scarvelis Haitz Sáez de Ocáriz Borde Justin Solomon DiffM 95 9 0 19 Oct 2023
For Kernel Range Spaces a Constant Number of Queries Are Sufficient J. Phillips H. Pourmahmood-Aghababa 14 0 0 28 Jun 2023
Adaptive and Dynamic Multi-Resolution Hashing for Pairwise Summations Lianke Qin Aravind Reddy Zhao-quan Song Zhaozhuo Xu Danyang Zhuo 22 13 0 21 Dec 2022
Sub-quadratic Algorithms for Kernel Matrices via Kernel Density Estimation Ainesh Bakshi Piotr Indyk Praneeth Kacham Sandeep Silwal Samson Zhou 33 4 0 01 Dec 2022
Dynamic Maintenance of Kernel Density Estimation Data Structure: From Practice to Theory Jiehao Liang Zhao-quan Song Zhaozhuo Xu Junze Yin Danyang Zhuo OOD 34 4 0 08 Aug 2022