White Noise Limits for Inertial Particles in a Random Field. - Grigorios A. Pavliotis; Andrew M. Stuart (Multiscale Model. Simul., 2003)

Analysis of White Noise Limits for Stochastic Systems with Two Fast Relaxation Times. - Grigorios A. Pavliotis; Andrew M. Stuart (Multiscale Model. Simul., 2005)

Calculating effective diffusivities in the limit of vanishing molecular diffusion. - Grigorios A. Pavliotis; Andrew M. Stuart; Konstantinos C. Zygalakis (J. Comput. Phys., 2009)

Frequency Domain Estimation of Integrated Volatility for Itô Processes in the Presence of Market-Microstructure Noise. - Sofia C. Olhede; Adam M. Sykulski; Grigorios A. Pavliotis (Multiscale Model. Simul., 2009)

Numerical methods for stochastic partial differential equations with multiple scales. - Assyr Abdulle; Grigorios A. Pavliotis (J. Comput. Phys., 2012)

The Overdamped Limit of Dynamic Density Functional Theory: Rigorous Results. - Benjamin D. Goddard; Grigorios A. Pavliotis; Serafim Kalliadasis (Multiscale Model. Simul., 2012)

Semiparametric Drift and Diffusion Estimation for Multiscale Diffusions. - Sebastian Krumscheid; Grigorios A. Pavliotis; Serafim Kalliadasis (Multiscale Model. Simul., 2013)

Effective macroscopic interfacial transport equations in strongly heterogeneous environments for general homogeneous free energies. - Markus Schmuck; Grigorios A. Pavliotis; Serafim Kalliadasis (Appl. Math. Lett., 2014)

Numerical methods for computing effective transport properties of flashing Brownian motors. - Juan C. Latorre; Peter R. Kramer; Grigorios A. Pavliotis (J. Comput. Phys., 2014)

A new framework for extracting coarse-grained models from time series with multiscale structure. - Serafim Kalliadasis; Sebastian Krumscheid; Grigorios A. Pavliotis (J. Comput. Phys., 2015)

A Multiscale Analysis of Diffusions on Rapidly Varying Surfaces. - Andrew B. Duncan; Charles M. Elliott; Grigorios A. Pavliotis; Andrew M. Stuart (J. Nonlinear Sci., 2015)

Spectral Methods for Multiscale Stochastic Differential Equations. - Assyr Abdulle; Grigorios A. Pavliotis; Urbain Vaes (SIAM/ASA J. Uncertain. Quantification, 2017)

Mean Field Limits for Interacting Diffusions in a Two-Scale Potential. - Susana N. Gomes; Grigorios A. Pavliotis (J. Nonlinear Sci., 2018)

Cloaking via Mapping for the Heat Equation. - Richard V. Craster; Sébastien Guenneau; H. R. Hutridurga; Grigorios A. Pavliotis (Multiscale Model. Simul., 2018)

The sharp, the flat and the shallow: Can weakly interacting agents learn to escape bad minima? - Nikolas Kantas; Panos Parpas; Grigorios A. Pavliotis (CoRR, 2019)

Constructing Sampling Schemes via Coupling: Markov Semigroups and Optimal Transport. - Nikolas Nüsken; Grigorios A. Pavliotis (SIAM/ASA J. Uncertain. Quantification, 2019)

Optimal Control of Thin Liquid Films and Transverse Mode Effects. - Ruben J. Tomlin; Susana N. Gomes; Grigorios A. Pavliotis; Demetrios T. Papageorgiou (SIAM J. Appl. Dyn. Syst., 2019)

Mean Field Limits for Interacting Diffusions with Colored Noise: Phase Transitions and Spectral Numerical Methods. - Susana N. Gomes; Grigorios A. Pavliotis; Urbain Vaes (Multiscale Model. Simul., 2020)

Scaling Limits for the Generalized Langevin Equation. - Grigorios A. Pavliotis; Gabriel Stoltz; Urbain Vaes (J. Nonlinear Sci., 2021)

Geometric Methods for Sampling, Optimisation, Inference and Adaptive Agents. - Alessandro Barp; Lancelot Da Costa; Guilherme França; Karl J. Friston; Mark A. Girolami; Michael I. Jordan; Grigorios A. Pavliotis (CoRR, 2022)

Neural parameter calibration for large-scale multi-agent models. - Thomas Gaskin; Grigorios A. Pavliotis; Mark Girolami (CoRR, 2022)

The entropy production of stationary diffusions. - Lancelot Da Costa; Grigorios A. Pavliotis (CoRR, 2022)

Eigenfunction martingale estimating functions and filtered data for drift estimation of discretely observed multiscale diffusions. - Assyr Abdulle; Grigorios A. Pavliotis; Andrea Zanoni (Stat. Comput., 2022)

Derivative-Free Bayesian Inversion Using Multiscale Dynamics. - Grigorios A. Pavliotis; Andrew M. Stuart; Urbain Vaes (SIAM J. Appl. Dyn. Syst., 2022)

Eigenfunction Martingale Estimators for Interacting Particle Systems and Their Mean Field Limit. - Grigorios A. Pavliotis; Andrea Zanoni (SIAM J. Appl. Dyn. Syst., 2022)

Privacy Risk for anisotropic Langevin dynamics using relative entropy bounds. - Anastasia Borovykh; Nikolas Kantas; Panos Parpas; Greg Pavliotis (CoRR, 2023)

Inferring networks from time series: a neural approach. - Thomas Gaskin; Grigorios A. Pavliotis; Mark Girolami (CoRR, 2023)

Machine Learning for the identification of phase-transitions in interacting agent-based systems. - Nikolaos Evangelou; Dimitrios G. Giovanis; George A. Kevrekidis; Grigorios A. Pavliotis; Ioannis G. Kevrekidis (CoRR, 2023)

Neural parameter calibration and uncertainty quantification for epidemic forecasting. - Thomas Gaskin; Tim Conrad 001; Grigorios A. Pavliotis; Christof Schütte (CoRR, 2023)

Filtered data based estimators for stochastic processes driven by colored noise. - Grigorios A. Pavliotis; Sebastian Reich; Andrea Zanoni (CoRR, 2023)

Drift Estimation of Multiscale Diffusions Based on Filtered Data. - Assyr Abdulle; Giacomo Garegnani; Grigorios A. Pavliotis; Andrew M. Stuart; Andrea Zanoni (Found. Comput. Math., 2023)

On the Generalized Langevin Equation for Simulated Annealing. - Martin Chak; Nikolas Kantas; Grigorios A. Pavliotis (SIAM/ASA J. Uncertain. Quantification, 2023)

Mobility Estimation for Langevin Dynamics Using Control Variates. - Grigorios A. Pavliotis; Gabriel Stoltz; Urbain Vaes (Multiscale Model. Simul., 2023)

Variational Principles on Geometric Rough Paths and the Lévy Area Correction. - Theo Diamantakis; Darryl D. Holm; Grigorios A. Pavliotis (SIAM J. Appl. Dyn. Syst., 2023)

Optimizing the diffusion coefficient of overdamped Langevin dynamics. - Tony Lelièvre; Grigorios A. Pavliotis; Geneviève Robin; Régis Santet; Gabriel Stoltz (CoRR, 2024)

Bayesian Nonparametric Inference in McKean-Vlasov models. - Richard Nickl; Grigorios A. Pavliotis; Kolyan Ray (CoRR, 2024)

Stability of stationary states for mean field models with multichromatic interaction potentials. - Benedetta Bertoli; Benjamin D. Goddard; Grigorios A. Pavliotis (CoRR, 2024)

Computation and Control of Unstable Steady States for Mean Field Multiagent Systems. - Sara Bicego; Dante Kalise; Grigorios A. Pavliotis (CoRR, 2024)

Neural network approaches for variance reduction in fluctuation formulas. - Grigorios A. Pavliotis; Renato Spacek; Gabriel Stoltz; Urbain Vaes (CoRR, 2024)

A Method of Moments Estimator for Interacting Particle Systems and their Mean Field Limit. - Grigorios A. Pavliotis; Andrea Zanoni (SIAM/ASA J. Uncertain. Quantification, 2024)

Stochastic Mirror Descent for Convex Optimization with Consensus Constraints. - Anastasia Borovykh; Nikolas Kantas; Panos Parpas; Grigorios A. Pavliotis (SIAM J. Appl. Dyn. Syst., 2024)

A Spectral Approach to Optimal Control of the Fokker-Planck Equation. - Dante Kalise; Lucas M. Moschen; Grigorios A. Pavliotis; Urbain Vaes (IEEE Control. Syst. Lett., 2025)

Approximating Particle-Based Clustering Dynamics by Stochastic PDEs. - Nathalie Wehlitz; Mohsen Sadeghi; Alberto Montefusco; Christof Schütte; Grigorios A. Pavliotis; Stefanie Winkelmann (SIAM J. Appl. Dyn. Syst., 2025)

Phase transitions for interacting particle systems on random graphs. - Benedetta Bertoli; Grigorios A. Pavliotis; Niccolò Zagli (CoRR, 2025)

A Fourier-based inference method for learning interaction kernels in particle systems. - Grigorios A. Pavliotis; Andrea Zanoni (CoRR, 2025)

Linearization-Based Feedback Stabilization of McKean-Vlasov PDEs. - Dante Kalise; Lucas M. Moschen; Grigorios A. Pavliotis (CoRR, 2025)