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Dimitrios Milios
Dimitrios Milios
Post Doctoral Fellow, EURECOM
Dirección de correo verificada de eurecom.fr
Título
Citado por
Citado por
Año
Smoothed model checking for uncertain continuous-time Markov chains
L Bortolussi, D Milios, G Sanguinetti
Information and Computation 247, 235-253, 2016
1162016
Dirichlet-based gaussian processes for large-scale calibrated classification
D Milios, R Camoriano, P Michiardi, L Rosasco, M Filippone
Advances in Neural Information Processing Systems 31, 2018
872018
All you need is a good functional prior for Bayesian deep learning
BH Tran, S Rossi, D Milios, M Filippone
Journal of Machine Learning Research 23 (74), 1-56, 2022
572022
U-check: Model checking and parameter synthesis under uncertainty
L Bortolussi, D Milios, G Sanguinetti
International Conference on Quantitative Evaluation of Systems, 89-104, 2015
392015
Studying emergent behaviours in morphogenesis using signal spatio-temporal logic
E Bartocci, L Bortolussi, D Milios, L Nenzi, G Sanguinetti
Hybrid Systems Biology: Fourth International Workshop, HSB 2015, Madrid …, 2015
242015
Probabilistic programming process algebra
A Georgoulas, J Hillston, D Milios, G Sanguinetti
Quantitative Evaluation of Systems: 11th International Conference, QEST 2014 …, 2014
212014
Global optimization of analogy-based software cost estimation with genetic algorithms
D Milios, I Stamelos, C Chatzibagias
International Conference on Engineering Applications of Neural Networks, 350-359, 2011
192011
Efficient stochastic simulation of systems with multiple time scales via statistical abstraction
L Bortolussi, D Milios, G Sanguinetti
International Conference on Computational Methods in Systems Biology, 40-51, 2015
142015
Model selection for bayesian autoencoders
BH Tran, S Rossi, D Milios, P Michiardi, EV Bonilla, M Filippone
Advances in Neural Information Processing Systems 34, 19730-19742, 2021
132021
Sparse within sparse gaussian processes using neighbor information
GL Tran, D Milios, P Michiardi, M Filippone
International Conference on Machine Learning, 10369-10378, 2021
122021
Markov chain simulation with fewer random samples
D Milios, S Gilmore
Electronic Notes in Theoretical Computer Science 296, 183-197, 2013
102013
Probability distributions as program variables
D Milios
Edinburgh, UK: School of Informatics, University of Edinburgh, MS Thesis, 2009
102009
Probabilistic model checking for continuous-time Markov chains via sequential Bayesian inference
D Milios, G Sanguinetti, D Schnoerr
Quantitative Evaluation of Systems: 15th International Conference, QEST 2018 …, 2018
92018
Policy learning in continuous-time markov decision processes using gaussian processes
E Bartocci, L Bortolussi, T Brázdil, D Milios, G Sanguinetti
Performance Evaluation 116, 84-100, 2017
82017
Policy learning for time-bounded reachability in continuous-time Markov decision processes via doubly-stochastic gradient ascent
E Bartocci, L Bortolussi, T Brázdil, D Milios, G Sanguinetti
Quantitative Evaluation of Systems: 13th International Conference, QEST 2016 …, 2016
82016
Component aggregation for PEPA models: An approach based on approximate strong equivalence
D Milios, S Gilmore
Performance Evaluation 94, 43-71, 2015
82015
A genetic algorithm approach to global optimization of software cost estimation by analogy
D Milios, I Stamelos, C Chatzibagias
Intelligent Decision Technologies 7 (1), 45-58, 2013
72013
A scalable bayesian sampling method based on stochastic gradient descent isotropization
G Franzese, D Milios, M Filippone, P Michiardi
Entropy 23 (11), 1426, 2021
62021
Machine learning methods in statistical model checking and system design–tutorial
L Bortolussi, D Milios, G Sanguinetti
Runtime Verification: 6th International Conference, RV 2015, Vienna, Austria …, 2015
62015
Probabilistic model checking for continuous time markov chains via sequential bayesian inference
D Milios, G Sanguinetti, D Schnoerr
arXiv preprint arXiv:1711.01863, 2017
52017
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20