Carrasco M., Ferragut A., and Paganini F.
Optimal local storage policy based on stochastic intensities and its large scale behavior
Sometido para su publicación (2024): 1-39.
Carrasco M., Mayr F., and Yovine S.
Congruence-based Learning of Probabilistic Deterministic Finite Automata
Sometido para su publicación (2024): 1-27.
Carrasco M. and Mackay J.M.
Conformal dimension of hyperbolic groups that split over elementary subgroups
Inventiones mathematicae 227, no. 2 (2022): 795-854.
Carrasco M., Lessa P. and Paquette E.
On the speed of distance-stationary sequences
Latin American Journal of Probability and Mathematical Statistics 18 (2021): 829-854.
Carrasco M. and Sequeira E.
On quasi-isometry invariants associated to a Heintze group
Geometriae Dedicata 189, no. 1 (2017): 1-16.
Carrasco M.
Orlicz spaces and the large scale geometry of Heintze groups
Mathematische Annalen 368 (2017): 433-481.
Carrasco M. and Lessa P.
Equivalence of zero entropy and the Liouville property for stationary random graphs
Electronic Journal of Probability 21, 55 (2016): 1-24.
Carrasco M.
Conformal dimension and canonical splittings of hyperbolic groups
Geometric and Functional Analysis 24 (2014): 922-945.
Carrasco M.
On the conformal gauge of a compact metric space
Annales Scientifiques de l'École Normale Supérieure 46, 3 (2013): 495-548.
Carrasco M.
Conformal dimension and combinatorial modulus of compact metric spaces
Comptes Rendus Mathematique 350, no. 3-4 (2012): 141-145.
Carrasco M., Lessa P., and Paquette E.
A Furstenberg type formula for the speed of distance stationary sequences
arXiv preprint arXiv:1710.00733 (2017).
Carrasco M., Mayr F., Yovine S., Kidd J., Iturbide M., da Silva J., and Garat A.
Analyzing constrained LLM through PDFA-learning
arXiv preprint arXiv:2406.08269 (2024).
Sometido para su publicación
Ferragut A., Carrasco M., and Paganini F.
Caching or Pre-fetching? the Role of Hazard Rates
60th Allerton Conference on Communication, Control, and Computing, IEEE (2024): 1-8.
Ferragut A., Carrasco M., and Paganini F.
Timer-based pre-fetching for increasing hazard rates
ACM SIGMETRICS Performance Evaluation Review 52, no. 2 (2024): 9-11.
Mayr F., Yovine S., Carrasco M., Pan F., and Vilensky F.
A Congruence-based Approach to Active Automata Learning from Neural Language Models International Conference on Grammatical Inference, PMLR 217 (2023): 250-264.
Mayr F., Yovine S., Carrasco M., Garat A., Iturbide M., da Silva J., and Vilensky F.
Results of Neural-Checker Toolbox in Taysir 2023 Competition
International Conference on Grammatical Inference, PMLR 217 (2023): 295-298.