Massimiliano Tamborrino

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 15

Top Topics

Gaussian Process

Diffusion Process

Top Venues

J. Comput. Appl. Math.

SIAM J. Sci. Comput.

Publications

Guglielmo Gattiglio, Lyudmila Grigoryeva, Massimiliano Tamborrino
Nearest Neighbors GParareal: Improving Scalability of Gaussian Processes for Parallel-in-Time Solvers. CoRR (2024)
Kamran Pentland, Massimiliano Tamborrino, T. J. Sullivan, James Buchanan, L. C. Appel
GParareal: a time-parallel ODE solver using Gaussian process emulation. Stat. Comput. 33 (1) (2023)
Susanne Ditlevsen, Massimiliano Tamborrino, Irene Tubikanec
Network inference in a stochastic multi-population neural mass model via approximate Bayesian computation. CoRR (2023)
Kamran Pentland, Massimiliano Tamborrino, Debasmita Samaddar, Lynton C. Appel
Stochastic Parareal: An Application of Probabilistic Methods to Time-Parallelization. SIAM J. Sci. Comput. 45 (3) (2023)
Kamran Pentland, Massimiliano Tamborrino, Timothy John Sullivan
Error Bound Analysis of the Stochastic Parareal Algorithm. SIAM J. Sci. Comput. 45 (5) (2023)
Kamran Pentland, Massimiliano Tamborrino, T. J. Sullivan
Error bound analysis of the stochastic parareal algorithm. CoRR (2022)
Irene Tubikanec, Massimiliano Tamborrino, Petr Lánský, Evelyn Buckwar
Qualitative properties of different numerical methods for the inhomogeneous geometric Brownian motion. J. Comput. Appl. Math. 406 (2022)
Kamran Pentland, Massimiliano Tamborrino, T. J. Sullivan, James Buchanan, L. C. Appel
GParareal: A time-parallel ODE solver using Gaussian process emulation. CoRR (2022)
Matt J. Keeling, Edward M. Hill, Erin E. Gorsich, Bridget Penman, Glen Guyver-Fletcher, Alex Holmes, Trystan Leng, Hector McKimm, Massimiliano Tamborrino, Louise Dyson, Michael J. Tildesley
Predictions of COVID-19 dynamics in the UK: Short-term forecasting and analysis of potential exit strategies. PLoS Comput. Biol. 17 (1) (2021)
Kamran Pentland, Massimiliano Tamborrino, D. Samaddar, L. C. Appel
Stochastic parareal: an application of probabilistic methods to time-parallelisation. CoRR (2021)
Evelyn Buckwar, Adeline Samson, Massimiliano Tamborrino, Irene Tubikanec
Splitting methods for SDEs with locally Lipschitz drift. An illustration on the FitzHugh-Nagumo model. CoRR (2021)
Evelyn Buckwar, Massimiliano Tamborrino, Irene Tubikanec
Spectral density-based and measure-preserving ABC for partially observed diffusion processes. An illustration on Hamiltonian SDEs. Stat. Comput. 30 (3) (2020)
Irene Tubikanec, Massimiliano Tamborrino, Petr Lánský, Evelyn Buckwar
Qualitative properties of numerical methods for the inhomogeneous geometric Brownian motion. CoRR (2020)
Marie Levakova, Massimiliano Tamborrino, Lubomir Kostal, Petr Lánský
Presynaptic Spontaneous Activity Enhances the Accuracy of Latency Coding. Neural Comput. 28 (10) (2016)
Laura Sacerdote, Massimiliano Tamborrino, Cristina Zucca
First passage times of two-dimensional correlated processes: Analytical results for the Wiener process and a numerical method for diffusion processes. J. Comput. Appl. Math. 296 (2016)
Marie Levakova, Massimiliano Tamborrino, Susanne Ditlevsen, Petr Lánský
A review of the methods for neuronal response latency estimation. Biosyst. 136 (2015)
Massimiliano Tamborrino, Susanne Ditlevsen, Petr Lánský
Parametric inference of neuronal response latency in presence of a background signal. Biosyst. 112 (3) (2013)