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Matías Carrasco
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2020 – today
- 2024
- [c3]Andrés Ferragut, Matías Carrasco, Fernando Paganini:
Caching or Pre-fetching? the Role of Hazard Rates. Allerton 2024: 1-8 - [i3]Matías Carrasco, Franz Mayr, Sergio Yovine, Johny Kidd, Martín Iturbide, Juan Pedro da Silva, Alejo Garat:
Analyzing constrained LLM through PDFA-learning. CoRR abs/2406.08269 (2024) - [i2]Matías Carrasco, Andrés Ferragut, Fernando Paganini:
Optimal local storage policy based on stochastic intensities and its large scale behavior. CoRR abs/2412.00279 (2024) - [i1]Matías Carrasco, Franz Mayr, Sergio Yovine:
Congruence-based Learning of Probabilistic Deterministic Finite Automata. CoRR abs/2412.09760 (2024) - 2023
- [c2]Franz Mayr, Sergio Yovine, Matías Carrasco, Federico Pan, Federico Vilensky:
A Congruence-based Approach to Active Automata Learning from Neural Language Models. ICGI 2023: 250-264 - [c1]Franz Mayr, Sergio Yovine, Matías Carrasco, Alejo Garat, Martín Iturbide, Juan da Silva, Federico Vilensky:
Results of Neural-Checker Toolbox in Taysir 2023 Competition. ICGI 2023: 295-298
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last updated on 2025-01-27 20:45 CET by the dblp team
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