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On the Suitability of Neural Networks as Building Blocks for The Design
  of Efficient Learned Indexes

On the Suitability of Neural Networks as Building Blocks for The Design of Efficient Learned Indexes

21 February 2022
Domenico Amato
Giosuè Lo Bosco
Raffaele Giancarlo
ArXivPDFHTML

Papers citing "On the Suitability of Neural Networks as Building Blocks for The Design of Efficient Learned Indexes"

4 / 4 papers shown
Title
Learned Compression of Nonlinear Time Series With Random Access
Learned Compression of Nonlinear Time Series With Random Access
Andrea Guerra
Giorgio Vinciguerra
Antonio Boffa
P. Ferragina
AI4TS
64
0
0
20 Dec 2024
A Survey of Learned Indexes for the Multi-dimensional Space
A Survey of Learned Indexes for the Multi-dimensional Space
Abdullah Al-Mamun
Hao Wu
Qiyang He
Jianguo Wang
Walid G. Aref
34
9
0
11 Mar 2024
From Specific to Generic Learned Sorted Set Dictionaries: A
  Theoretically Sound Paradigm Yelding Competitive Data Structural Boosters in
  Practice
From Specific to Generic Learned Sorted Set Dictionaries: A Theoretically Sound Paradigm Yelding Competitive Data Structural Boosters in Practice
Domenico Amato
Giosuè Lo Bosco
Raffaele Giancarlo
13
0
0
02 Sep 2023
Learned Sorted Table Search and Static Indexes in Small Model Space
Learned Sorted Table Search and Static Indexes in Small Model Space
Domenico Amato
Giosuè Lo Bosco
Raffaele Giancarlo
18
6
0
19 Jul 2021
1