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20122026
most citedContinuous time Gaussian process dynamical models in gene regulatory network inference

75 citations · 236 across the 75 of their papers we have counts for

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5 papers · 1 filter

math.OC2026

Operator Calculus for Population-Based Optimization: Modular Convergence and Finite-Population Guarantees

Pekka Malo, Lauri Viitasaari, Patrik Nummi +3

Population-based optimizers combine update rules such as mutation, selection, and recombination. When one rule changes, it is often unclear which convergence guarantees survive or…

math.ST2026

Parameter estimation in generalized fractional neuronal models

Pauliina Ilmonen, Milla Laurikkala, Enrica Pirozzi +2

We investigate a generalized stochastic fractional neuronal model combining fractional dynamics with correlated stochastic inputs. The proposed framework is described by a fraction…

math.PR2026

Lower path regularity in all dimensions

Michael Hinz, Jonas M. Tölle, Lauri Viitasaari

We prove precise almost sure lower path regularity results for a wide class of stochastic processes in all space dimensions . Examples include Gaussian processes, in parti…

math.PR2026

Error analysis for learning fractional stochastic differential equations with applications in neural approximations

Mahdi Dehshiri, Kerlyns Martinez, Lauri Viitasaari

This paper develops a framework for the error analysis in nonparametric model fitting of fractional stochastic differential equations based on discrete observations. We identify an…

math.PR2026

Smoothness of martingale observables and generalized Feynman-Kac formulas

Alex Karrila, Lauri Viitasaari

We prove that, under the Hörmander criterion on an Itô process, all its martingale observables are smooth. As a consequence, we also obtain a generalized Feynman-Kac formula provid…