Massimiliano Tamborrino

23 papers A* 1Journal 22

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Boundary crossing problems and functional transformations for Ornstein-Uhlenbeck processes. J. Appl. Probab. Aria Ahari, Larbi Alili, Massimiliano Tamborrino
2025	J	`jnl`	Inference for the stochastic FitzHugh-Nagumo model from real action potential data via approximate Bayesian computation. Comput. Stat. Data Anal. Adeline Samson, Massimiliano Tamborrino, Irene Tubikanec
2025	J	`jnl`	Nearest Neighbors GParareal: Improving Scalability of Gaussian Processes for Parallel-in-Time Solvers. SIAM J. Sci. Comput. Guglielmo Gattiglio, Lyudmila Grigoryeva, Massimiliano Tamborrino
2025	J	`jnl`	Prob-GParareal: A Probabilistic Numerical Parallel-in-Time Solver for Differential Equations. CoRR Guglielmo Gattiglio, Lyudmila Grigoryeva, Massimiliano Tamborrino
2024	J	`jnl`	Nearest Neighbors GParareal: Improving Scalability of Gaussian Processes for Parallel-in-Time Solvers. CoRR Guglielmo Gattiglio, Lyudmila Grigoryeva, Massimiliano Tamborrino
2024	A*	`conf`	RandNet-Parareal: a time-parallel PDE solver using Random Neural Networks. NeurIPS Guglielmo Gattiglio, Lyudmila Grigoryeva, Massimiliano Tamborrino
2024	J	`jnl`	RandNet-Parareal: a time-parallel PDE solver using Random Neural Networks. CoRR Guglielmo Gattiglio, Lyudmila Grigoryeva, Massimiliano Tamborrino
2023	J	`jnl`	Error Bound Analysis of the Stochastic Parareal Algorithm. SIAM J. Sci. Comput. Kamran Pentland, Massimiliano Tamborrino, Timothy John Sullivan
2023	J	`jnl`	GParareal: a time-parallel ODE solver using Gaussian process emulation. Stat. Comput. Kamran Pentland, Massimiliano Tamborrino, Timothy John Sullivan, James Buchanan, Lynton C. Appel
2023	J	`jnl`	Network inference in a stochastic multi-population neural mass model via approximate Bayesian computation. CoRR Susanne Ditlevsen, Massimiliano Tamborrino, Irene Tubikanec
2023	J	`jnl`	Stochastic Parareal: An Application of Probabilistic Methods to Time-Parallelization. SIAM J. Sci. Comput. Kamran Pentland, Massimiliano Tamborrino, Debasmita Samaddar, Lynton C. Appel
2022	J	`jnl`	Error bound analysis of the stochastic parareal algorithm. CoRR Kamran Pentland, Massimiliano Tamborrino, Timothy John Sullivan
2022	J	`jnl`	GParareal: A time-parallel ODE solver using Gaussian process emulation. CoRR Kamran Pentland, Massimiliano Tamborrino, Timothy John Sullivan, James Buchanan, Lynton C. Appel
2022	J	`jnl`	Qualitative properties of different numerical methods for the inhomogeneous geometric Brownian motion. J. Comput. Appl. Math. Irene Tubikanec, Massimiliano Tamborrino, Petr Lánský, Evelyn Buckwar
2021	J	`jnl`	Predictions of COVID-19 dynamics in the UK: Short-term forecasting and analysis of potential exit strategies. PLoS Comput. Biol. Matt J. Keeling, Edward M. Hill, Erin E. Gorsich, Bridget S. Penman, Glen Guyver-Fletcher, Alex Holmes, Trystan Leng, Hector McKimm, Massimiliano Tamborrino, Louise Dyson, Michael J. Tildesley
2021	J	`jnl`	Splitting methods for SDEs with locally Lipschitz drift. An illustration on the FitzHugh-Nagumo model. CoRR Evelyn Buckwar, Adeline Samson, Massimiliano Tamborrino, Irene Tubikanec
2021	J	`jnl`	Stochastic parareal: an application of probabilistic methods to time-parallelisation. CoRR Kamran Pentland, Massimiliano Tamborrino, D. Samaddar, Lynton C. Appel
2020	J	`jnl`	Qualitative properties of numerical methods for the inhomogeneous geometric Brownian motion. CoRR Irene Tubikanec, Massimiliano Tamborrino, Petr Lánský, Evelyn Buckwar
2020	J	`jnl`	Spectral density-based and measure-preserving ABC for partially observed diffusion processes. An illustration on Hamiltonian SDEs. Stat. Comput. Evelyn Buckwar, Massimiliano Tamborrino, Irene Tubikanec
2016	J	`jnl`	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. Laura Sacerdote, Massimiliano Tamborrino, Cristina Zucca
2016	J	`jnl`	Presynaptic Spontaneous Activity Enhances the Accuracy of Latency Coding. Neural Comput. Marie Levakova, Massimiliano Tamborrino, Lubomir Kostal, Petr Lánský
2015	J	`jnl`	A review of the methods for neuronal response latency estimation. Biosyst. Marie Levakova, Massimiliano Tamborrino, Susanne Ditlevsen, Petr Lánský
2013	J	`jnl`	Parametric inference of neuronal response latency in presence of a background signal. Biosyst. Massimiliano Tamborrino, Susanne Ditlevsen, Petr Lánský