Michail D. Vrettas

Most-cited papers

1. The docking of synaptic vesicles on the presynaptic membrane induced by α-synuclein is modulated by lipid composition

   Wing K. Man, Bogachan Tahirbegi, Michail D. Vrettas, Swapan Preet +4 more

   2021Nature Communications103 citations Open access

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2. A variational mean field algorithm for efficient inference in large systems of stochastic differential equations

   Michail D. Vrettas, M. Opper, D. Cornford

   201533 citations

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3. Estimating parameters in stochastic systems: A variational Bayesian approach

   Michail D. Vrettas, D. Cornford, M. Opper

   201125 citations Open access

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4. Derivations of variational gaussian process approximation framework

   Michail D. Vrettas, Yuan Shen, D. Cornford

   200810 citations

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5. Enhancing Biomolecular Simulations with Hybrid Potentials Incorporating NMR Data

   Guowei Qi, Michail D. Vrettas, Carmen Biancaniello, Máximo Sanz-Hernández +5 more

   2022Journal of Chemical Theory and Computation9 citations Open access

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6. Variational mean-field algorithm for efficient inference in large systems of stochastic differential equations.

   Michail D. Vrettas, Manfred Opper, D. Cornford

   2015Physical review. E, Statistical, nonlinear, and soft matter physics6 citations Open access

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7. A new variational radial basis function approximation for inference in multivariate diffusions

   Michail D. Vrettas, D. Cornford, M. Opper, Yuan Shen

   2010Neurocomputing6 citations Open access

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8. MetalHawk: Enhanced Classification of Metal Coordination Geometries by Artificial Neural Networks

   Gianmattia Sgueglia, Michail D. Vrettas, M. Chino, A. De Simone +1 more

   2023Journal of Chemical Information and Modeling5 citations Open access

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9. Thermal tuning of protein hydration in a hyperthermophilic enzyme

   Giuliana Fusco, Carmen Biancaniello, Michail D. Vrettas, A. De Simone

   2022Frontiers in Molecular Biosciences4 citations Open access

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10. Approximate Bayesian techniques for inference in stochastic dynamical systems

    Michail D. Vrettas

    20103 citations

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11. A variational radial basis function approximation for diffusion processes

    Michail D. Vrettas, D. Cornford, Yuan Shen

    2009The European Symposium on Artificial Neural Networks2 citations

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12. PyGenAlgo: A simple and powerful toolkit for genetic algorithms

    Michail D. Vrettas, S. Silvestri

    2025SoftwareX1 citations Open access

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13. StarPSO: A Unified Framework for Particle Swarm Optimization Across Multiple Problem Types

    Michail D. Vrettas, Stefano Silvestri

    2026Journal of Open Research Software0 citations Open access

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14. Application of a new hydraulic conductivity model to simulate rapid groundwater fluctuations in the Eel River watershed in Northern California

    Michail D. Vrettas, I.-Y. Fung

    20150 citations

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15. A new stochastic hydraulic conductivity approach for modeling one-dimensional vertical flow in variably saturated porous media.

    Michail D. Vrettas

    20140 citations

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16. Remote Sensing Classification Uncertainty: Validating Probabilistic Pixel Level Classification

    Michail D. Vrettas, D. Cornford, L. Bastin, X. Pons +4 more

    20130 citations

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