Giorgio Vinciguerra

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Top Venues

Proc. ACM Manag. Data

Publications

Marco Costa, Paolo Ferragina, Giorgio Vinciguerra
Grafite: Taming Adversarial Queries with Optimal Range Filters. Proc. ACM Manag. Data 2 (1) (2024)
Antonio Boffa, Paolo Ferragina, Francesco Tosoni, Giorgio Vinciguerra
CoCo-trie: Data-aware compression and indexing of strings. Inf. Syst. 120 (2024)
Paolo Ferragina, Hans-Peter Lehmann, Peter Sanders, Giorgio Vinciguerra
Learned Monotone Minimal Perfect Hashing. ESA (2023)
Paolo Ferragina, Mariagiovanna Rotundo, Giorgio Vinciguerra
Engineering a Textbook Approach to Index Massive String Dictionaries. SPIRE (2023)
Paolo Ferragina, Hans-Peter Lehmann, Peter Sanders, Giorgio Vinciguerra
Learned Monotone Minimal Perfect Hashing. CoRR (2023)
Marco Costa, Paolo Ferragina, Giorgio Vinciguerra
Grafite: Taming Adversarial Queries with Optimal Range Filters. CoRR (2023)
Paolo Ferragina, Marco Frasca, Giosuè Cataldo Marinò, Giorgio Vinciguerra
On Nonlinear Learned String Indexing. IEEE Access 11 (2023)
Antonio Boffa, Paolo Ferragina, Giorgio Vinciguerra
A Learned Approach to Design Compressed Rank/Select Data Structures. ACM Trans. Algorithms 18 (3) (2022)
Paolo Ferragina, Giovanni Manzini, Giorgio Vinciguerra
Compressing and Querying Integer Dictionaries Under Linearities and Repetitions. IEEE Access 10 (2022)
Antonio Boffa, Paolo Ferragina, Francesco Tosoni, Giorgio Vinciguerra
Compressed String Dictionaries via Data-Aware Subtrie Compaction. SPIRE (2022)
Paolo Ferragina, Giovanni Manzini, Giorgio Vinciguerra
Repetition- and Linearity-Aware Rank/Select Dictionaries. ISAAC (2021)
Antonio Boffa, Paolo Ferragina, Giorgio Vinciguerra
A "Learned" Approach to Quicken and Compress Rank/Select Dictionaries. ALENEX (2021)
Paolo Ferragina, Fabrizio Lillo, Giorgio Vinciguerra
On the performance of learned data structures. Theor. Comput. Sci. 871 (2021)
Paolo Ferragina, Giorgio Vinciguerra
The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds. Proc. VLDB Endow. 13 (8) (2020)
Paolo Ferragina, Fabrizio Lillo, Giorgio Vinciguerra
Why Are Learned Indexes So Effective? ICML (2020)
Paolo Ferragina, Giorgio Vinciguerra
Learned Data Structures. INNSBDDL (Tutorials) (2019)
Giorgio Vinciguerra, Paolo Ferragina, Michele Miccinesi
Superseding traditional indexes by orchestrating learning and geometry. CoRR (2019)
Paolo Ferragina, Giorgio Vinciguerra
The PGM-index: a multicriteria, compressed and learned approach to data indexing. CoRR (2019)