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09/12/2023
Enhancing In-Memory Spatial Indexing with Learned Search
Spatial data is ubiquitous. Massive amounts of data are generated every ...
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08/24/2020
The Case for Learned Spatial Indexes
Spatial data is ubiquitous. Massive amounts of data are generated every ...
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06/23/2020
Benchmarking Learned Indexes
Recent advancements in learned index structures propose replacing existi...
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04/30/2020
RadixSpline: A Single-Pass Learned Index
Recent research has shown that learned models can outperform state-of-th...
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11/29/2019
SOSD: A Benchmark for Learned Indexes
A groundswell of recent work has focused on improving data management sy...
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08/21/2019
GeoBlocks: A Query-Driven Storage Layout for Geospatial Data
City authorities need to analyze urban geospatial data to improve transp...
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06/14/2019
DeepSPACE: Approximate Geospatial Query Processing with Deep Learning
The amount of the available geospatial data grows at an ever faster pace...
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04/17/2019
Estimating Cardinalities with Deep Sketches
We introduce Deep Sketches, which are compact models of databases that a...
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04/02/2019
Persistent Memory I/O Primitives
I/O latency and throughput is one of the major performance bottlenecks f...
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09/03/2018
Learned Cardinalities: Estimating Correlated Joins with Deep Learning
We describe a new deep learning approach to cardinality estimation. MSCN...
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02/26/2018
