Massimiliano Tamborrino

Orcid: 0000-0002-4661-8071

According to our database1, Massimiliano Tamborrino authored at least 15 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Nearest Neighbors GParareal: Improving Scalability of Gaussian Processes for Parallel-in-Time Solvers.
CoRR, 2024

2023
Error Bound Analysis of the Stochastic Parareal Algorithm.
SIAM J. Sci. Comput., October, 2023

Stochastic Parareal: An Application of Probabilistic Methods to Time-Parallelization.
SIAM J. Sci. Comput., June, 2023

GParareal: a time-parallel ODE solver using Gaussian process emulation.
Stat. Comput., 2023

Network inference in a stochastic multi-population neural mass model via approximate Bayesian computation.
CoRR, 2023

2022
Qualitative properties of different numerical methods for the inhomogeneous geometric Brownian motion.
J. Comput. Appl. Math., 2022

2021
Predictions of COVID-19 dynamics in the UK: Short-term forecasting and analysis of potential exit strategies.
PLoS Comput. Biol., 2021

Stochastic parareal: an application of probabilistic methods to time-parallelisation.
CoRR, 2021

Splitting methods for SDEs with locally Lipschitz drift. An illustration on the FitzHugh-Nagumo model.
CoRR, 2021

2020
Spectral density-based and measure-preserving ABC for partially observed diffusion processes. An illustration on Hamiltonian SDEs.
Stat. Comput., 2020

Qualitative properties of numerical methods for the inhomogeneous geometric Brownian motion.
CoRR, 2020

2016
Presynaptic Spontaneous Activity Enhances the Accuracy of Latency Coding.
Neural Comput., 2016

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., 2016

2015
A review of the methods for neuronal response latency estimation.
Biosyst., 2015

2013
Parametric inference of neuronal response latency in presence of a background signal.
Biosyst., 2013


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