Giorgio Vinciguerra

Orcid: 0000-0003-0328-7791

According to our database1, Giorgio Vinciguerra authored at least 17 papers between 2019 and 2024.

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Bibliography

2024
Grafite: Taming Adversarial Queries with Optimal Range Filters.
Proc. ACM Manag. Data, February, 2024

CoCo-trie: Data-aware compression and indexing of strings.
Inf. Syst., February, 2024

2023
On Nonlinear Learned String Indexing.
IEEE Access, 2023

Engineering a Textbook Approach to Index Massive String Dictionaries.
Proceedings of the String Processing and Information Retrieval, 2023

Learned Monotone Minimal Perfect Hashing.
Proceedings of the 31st Annual European Symposium on Algorithms, 2023

2022
Learning-based compressed data structures.
PhD thesis, 2022

A Learned Approach to Design Compressed Rank/Select Data Structures.
ACM Trans. Algorithms, 2022

Compressing and Querying Integer Dictionaries Under Linearities and Repetitions.
IEEE Access, 2022

Compressed String Dictionaries via Data-Aware Subtrie Compaction.
Proceedings of the String Processing and Information Retrieval, 2022

2021
On the performance of learned data structures.
Theor. Comput. Sci., 2021

Repetition- and Linearity-Aware Rank/Select Dictionaries.
Proceedings of the 32nd International Symposium on Algorithms and Computation, 2021

A "Learned" Approach to Quicken and Compress Rank/Select Dictionaries.
Proceedings of the Symposium on Algorithm Engineering and Experiments, 2021

2020
The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds.
Proc. VLDB Endow., 2020

Why Are Learned Indexes So Effective?
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
The PGM-index: a multicriteria, compressed and learned approach to data indexing.
CoRR, 2019

Superseding traditional indexes by orchestrating learning and geometry.
CoRR, 2019

Learned Data Structures.
Proceedings of the Recent Trends in Learning From Data, 2019


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