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Giovanni Bacci 0001
Person information
- affiliation: Aalborg University, Denmark
- affiliation (former): University of Udine, Italy
Other persons with the same name
- Giovanni Bacci 0002 — University of Florence, Italy
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2020 – today
- 2024
- [c25]Giorgio Bacci, Giovanni Bacci, Kim Guldstrand Larsen, Giuseppe Squillace, Mirco Tribastone, Max Tschaikowski, Andrea Vandin:
Dissimilarity for Linear Dynamical Systems. QEST+FORMATS 2024: 125-142 - 2023
- [c24]Raphaël Reynouard, Anna Ingólfsdóttir, Giovanni Bacci:
Jajapy: A Learning Library for Stochastic Models. QEST 2023: 30-46 - [c23]Giovanni Bacci, Anna Ingólfsdóttir, Kim G. Larsen, Raphaël Reynouard:
An MM Algorithm to Estimate Parameters in Continuous-Time Markov Chains. QEST 2023: 82-100 - [i11]Giovanni Bacci, Anna Ingólfsdóttir, Kim G. Larsen, Raphaël Reynouard:
MM Algorithms to Estimate Parameters in Continuous-time Markov Chains. CoRR abs/2302.08588 (2023) - 2022
- [c22]Giorgio Bacci, Giovanni Bacci, Mathias Claus Jensen, Kim G. Larsen:
Convex Lattice Equation Systems. Principles of Systems Design 2022: 438-455 - 2021
- [j7]Giovanni Bacci, Patricia Bouyer, Uli Fahrenberg, Kim G. Larsen, Nicolas Markey, Pierre-Alain Reynier:
Optimal and robust controller synthesis using energy timed automata with uncertainty. Formal Aspects Comput. 33(1): 3-25 (2021) - [j6]Martin Tappler, Bernhard K. Aichernig, Giovanni Bacci, Maria Eichlseder, Kim G. Larsen:
L*-based learning of Markov decision processes (extended version). Formal Aspects Comput. 33(4-5): 575-615 (2021) - [j5]Giorgio Bacci, Giovanni Bacci, Kim G. Larsen, Radu Mardare, Qiyi Tang, Franck van Breugel:
Computing Probabilistic Bisimilarity Distances for Probabilistic Automata. Log. Methods Comput. Sci. 17(1) (2021) - [c21]Giovanni Bacci, Benoît Delahaye, Kim G. Larsen, Anders Mariegaard:
Quantitative Analysis of Interval Markov Chains. Model Checking, Synthesis, and Learning 2021: 57-77 - [c20]Giovanni Bacci, Anna Ingólfsdóttir, Kim G. Larsen, Raphaël Reynouard:
Active Learning of Markov Decision Processes using Baum-Welch algorithm. ICMLA 2021: 1203-1208 - [c19]Giorgio Bacci, Giovanni Bacci, Kim G. Larsen, Mirco Tribastone, Max Tschaikowski, Andrea Vandin:
Efficient Local Computation of Differential Bisimulations via Coupling and Up-to Methods. LICS 2021: 1-14 - [i10]Giorgio Bacci, Giovanni Bacci, Kim G. Larsen, Mirco Tribastone, Max Tschaikowski, Andrea Vandin:
Efficient Local Computation of Differential Bisimulations via Coupling and Up-to Methods. CoRR abs/2104.13160 (2021) - [i9]Giovanni Bacci, Anna Ingólfsdóttir, Kim G. Larsen, Raphaël Reynouard:
Active Learning of Markov Decision Processes using Baum-Welch algorithm (Extended). CoRR abs/2110.03014 (2021) - 2020
- [c18]Manfred Jaeger, Giorgio Bacci, Giovanni Bacci, Kim Guldstrand Larsen, Peter Gjøl Jensen:
Approximating Euclidean by Imprecise Markov Decision Processes. ISoLA (1) 2020: 275-289 - [i8]Manfred Jaeger, Giorgio Bacci, Giovanni Bacci, Kim Guldstrand Larsen, Peter Gjøl Jensen:
Approximating Euclidean by Imprecise Markov Decision Processes. CoRR abs/2006.14923 (2020)
2010 – 2019
- 2019
- [j4]Giorgio Bacci, Giovanni Bacci, Kim G. Larsen, Radu Mardare:
Converging from branching to linear metrics on Markov chains. Math. Struct. Comput. Sci. 29(1): 3-37 (2019) - [c17]Giorgio Bacci, Giovanni Bacci, Kim G. Larsen, Radu Mardare, Qiyi Tang, Franck van Breugel:
Computing Probabilistic Bisimilarity Distances for Probabilistic Automata. CONCUR 2019: 9:1-9:17 - [c16]Martin Tappler, Bernhard K. Aichernig, Giovanni Bacci, Maria Eichlseder, Kim G. Larsen:
L*-Based Learning of Markov Decision Processes. FM 2019: 651-669 - [c15]Giovanni Bacci, Mikkel Hansen, Kim Guldstrand Larsen:
Model Checking Constrained Markov Reward Models with Uncertainties. QEST 2019: 37-51 - [i7]Martin Tappler, Bernhard K. Aichernig, Giovanni Bacci, Maria Eichlseder, Kim G. Larsen:
L*-Based Learning of Markov Decision Processes (Extended Version). CoRR abs/1906.12239 (2019) - [i6]Giorgio Bacci, Giovanni Bacci, Kim G. Larsen, Radu Mardare, Qiyi Tang, Franck van Breugel:
Computing Probabilistic Bisimilarity Distances for Probabilistic Automata. CoRR abs/1907.01768 (2019) - 2018
- [j3]Giovanni Bacci, Giorgio Bacci, Kim G. Larsen, Radu Mardare:
On the metric-based approximate minimization of Markov Chains. J. Log. Algebraic Methods Program. 100: 36-56 (2018) - [j2]Giorgio Bacci, Giovanni Bacci, Kim G. Larsen, Radu Mardare:
A Complete Quantitative Deduction System for the Bisimilarity Distance on Markov Chains. Log. Methods Comput. Sci. 14(4) (2018) - [c14]Giovanni Bacci, Patricia Bouyer, Uli Fahrenberg, Kim Guldstrand Larsen, Nicolas Markey, Pierre-Alain Reynier:
Optimal and Robust Controller Synthesis - Using Energy Timed Automata with Uncertainty. FM 2018: 203-221 - [c13]Giovanni Bacci, Mikkel Hansen, Kim Guldstrand Larsen:
On the Verification of Weighted Kripke Structures Under Uncertainty. QEST 2018: 71-86 - [c12]Giorgio Bacci, Giovanni Bacci, Kim G. Larsen, Radu Mardare:
Complete Axiomatization for the Total Variation Distance of Markov Chains. MFPS 2018: 27-39 - [i5]Giovanni Bacci, Patricia Bouyer, Uli Fahrenberg, Kim G. Larsen, Nicolas Markey, Pierre-Alain Reynier:
Optimal and Robust Controller Synthesis: using Energy Timed Automata with Uncertainty. CoRR abs/1805.00847 (2018) - [i4]Giovanni Bacci, Giorgio Bacci, Kim G. Larsen, Radu Mardare:
On the Metric-based Approximate Minimization of Markov Chains. CoRR abs/1806.00528 (2018) - 2017
- [j1]Giorgio Bacci, Giovanni Bacci, Kim G. Larsen, Radu Mardare:
On-the-Fly Computation of Bisimilarity Distances. Log. Methods Comput. Sci. 13(2) (2017) - [c11]Giovanni Bacci, Giorgio Bacci, Kim G. Larsen, Radu Mardare:
On the Metric-Based Approximate Minimization of Markov Chains. ICALP 2017: 104:1-104:14 - [e1]Luca Aceto, Giorgio Bacci, Giovanni Bacci, Anna Ingólfsdóttir, Axel Legay, Radu Mardare:
Models, Algorithms, Logics and Tools - Essays Dedicated to Kim Guldstrand Larsen on the Occasion of His 60th Birthday. Lecture Notes in Computer Science 10460, Springer 2017, ISBN 978-3-319-63120-2 [contents] - [i3]Giorgio Bacci, Giovanni Bacci, Kim G. Larsen, Radu Mardare:
A Complete Quantitative Deduction System for the Bisimilarity Distance on Markov Chains. CoRR abs/1702.02528 (2017) - [i2]Giorgio Bacci, Giovanni Bacci, Kim G. Larsen, Radu Mardare:
On-the-Fly Computation of Bisimilarity Distances. CoRR abs/1702.08306 (2017) - 2016
- [c10]Giorgio Bacci, Giovanni Bacci, Kim G. Larsen, Radu Mardare:
Complete Axiomatization for the Bisimilarity Distance on Markov Chains. CONCUR 2016: 21:1-21:14 - 2015
- [c9]Giorgio Bacci, Giovanni Bacci, Kim Guldstrand Larsen, Radu Mardare:
On the Total Variation Distance of Semi-Markov Chains. FoSSaCS 2015: 185-199 - [c8]Giorgio Bacci, Giovanni Bacci, Kim G. Larsen, Radu Mardare:
Converging from Branching to Linear Metrics on Markov Chains. ICTAC 2015: 349-367 - 2014
- [c7]Giorgio Bacci, Giovanni Bacci, Kim Guldstrand Larsen, Radu Mardare:
Bisimulation on Markov Processes over Arbitrary Measurable Spaces. Horizons of the Mind 2014: 76-95 - [i1]Giorgio Bacci, Giovanni Bacci, Kim G. Larsen, Radu Mardare:
Topologies of Stochastic Markov Models: Computational Aspects. CoRR abs/1403.6032 (2014) - 2013
- [c6]Giorgio Bacci, Giovanni Bacci, Kim G. Larsen, Radu Mardare:
Computing Behavioral Distances, Compositionally. MFCS 2013: 74-85 - [c5]Giorgio Bacci, Giovanni Bacci, Kim Guldstrand Larsen, Radu Mardare:
The BisimDist Library: Efficient Computation of Bisimilarity Distances for Markovian Models. QEST 2013: 278-281 - [c4]Giorgio Bacci, Giovanni Bacci, Kim G. Larsen, Radu Mardare:
On-the-Fly Exact Computation of Bisimilarity Distances. TACAS 2013: 1-15 - 2012
- [b1]Giovanni Bacci:
An abstract interpretation framework for semantics and diagnosis of Lazy functional-logic languages. University of Udine, Italy, 2012 - [c3]Giovanni Bacci, Marco Comini, Marco A. Feliú, Alicia Villanueva:
The additional difficulties for the automatic synthesis of specifications posed by logic features in functional-logic languages. ICLP (Technical Communications) 2012: 144-153 - [c2]Giovanni Bacci, Marco Comini, Marco Antonio Feliú, Alicia Villanueva:
Automatic synthesis of specifications for first order curry programs. PPDP 2012: 25-34 - 2010
- [c1]Giovanni Bacci, Marco Comini:
Abstract Diagnosis of First Order Functional Logic Programs. LOPSTR 2010: 215-233
Coauthor Index
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