Martín Muñoz

ORCID: 0009-0003-3294-6159
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About
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Research Areas
  • Algorithms and Data Compression
  • Complexity and Algorithms in Graphs
  • Logic, Reasoning, and Knowledge
  • Advanced Algebra and Logic
  • Data Management and Algorithms
  • Machine Learning and Algorithms
  • Advanced Database Systems and Queries
  • semigroups and automata theory
  • Bayesian Modeling and Causal Inference
  • Natural Language Processing Techniques
  • Computability, Logic, AI Algorithms

Pontificia Universidad Católica de Chile
2017-2024

Millennium Institute for Integrative Biology
2024

Some of the most relevant document schemas used online, such as XML and JSON, have a nested format. In last decade, task extracting data from documents over streams has become especially relevant. We focus on streaming evaluation queries with outputs varied sizes documents. model this kind Visibly Pushdown Annotators (VPAnn), computational that extends visibly pushdown automata same expressive power MSO Since processing through VPAnn can generate massive number results, we are interested in...

10.1145/3701557 article EN ACM Transactions on Database Systems 2024-10-25

We introduce annotated grammars, an extension of context-free grammars which allows annotations on terminals. Our model extends the standard notion regular spanners, and is more expressive than extraction recently introduced by Peterfreund. study enumeration problem for grammars: fixing a grammar, given string as input, enumerate all that form word derivable from grammar. first result algorithm unambiguous preprocesses input in cubic time enumerates with output-linear delay. This improves...

10.1145/3517804.3526232 preprint EN 2022-06-12

Descriptive Complexity has been very successful in characterizing complexity classes of decision problems terms the properties definable some logics. However, descriptive for counting classes, such as FP and #P, not systematically studied, it is developed its counterpart. In this paper, we propose a framework based on Weighted Logics to address issue. Specifically, by focusing natural numbers obtain logic called Quantitative Second Order (QSO), show how fragments can be used capture...

10.5555/3329995.3330085 article EN Logic in Computer Science 2017-06-20

Descriptive Complexity has been very successful in characterizing complexity classes of decision problems terms the properties definable some logics. However, descriptive for counting classes, such as FP and #P, not systematically studied, it is developed its counterpart. In this paper, we propose a framework based on Weighted Logics to address issue. Specifically, by focusing natural numbers obtain logic called Quantitative Second Order (QSO), show how fragments can be used capture...

10.1109/lics.2017.8005150 article EN 2017-06-01

Descriptive Complexity has been very successful in characterizing complexity classes of decision problems terms the properties definable some logics. However, descriptive for counting classes, such as FP and #P, not systematically studied, it is developed its counterpart. In this paper, we propose a framework based on Weighted Logics to address issue. Specifically, by focusing natural numbers obtain logic called Quantitative Second Order (QSO), show how fragments can be used capture...

10.48550/arxiv.1805.02724 preprint EN cc-by arXiv (Cornell University) 2018-01-01

Descriptive Complexity has been very successful in characterizing complexity classes of decision problems terms the properties definable some logics. However, descriptive for counting classes, such as FP and #P, not systematically studied, it is developed its counterpart. In this paper, we propose a framework based on Weighted Logics to address issue. Specifically, by focusing natural numbers obtain logic called Quantitative Second Order (QSO), show how fragments can be used capture...

10.23638/lmcs-16(1:9)2020 article EN cc-by Logical Methods in Computer Science 2020-02-10
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