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ORCIDGrigorios A. Pavliotis
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- affiliation: Department of Mathematics, Imperial College London, London, UK
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Journal Articles
- 2024
[j26]Grigorios A. Pavliotis, Andrea Zanoni:
A Method of Moments Estimator for Interacting Particle Systems and their Mean Field Limit. SIAM/ASA J. Uncertain. Quantification 12(2): 262-288 (2024)- 2023
- [j25]Assyr Abdulle, Giacomo Garegnani
, Grigorios A. Pavliotis, Andrew M. Stuart, Andrea Zanoni:
Drift Estimation of Multiscale Diffusions Based on Filtered Data. Found. Comput. Math. 23(1): 33-84 (2023) - [j24]Martin Chak, Nikolas Kantas, Grigorios A. Pavliotis:
On the Generalized Langevin Equation for Simulated Annealing. SIAM/ASA J. Uncertain. Quantification 11(1): 139-167 (2023) - [j23]Grigorios A. Pavliotis, Gabriel Stoltz, Urbain Vaes:
Mobility Estimation for Langevin Dynamics Using Control Variates. Multiscale Model. Simul. 21(2): 680-715 (2023) - [j22]Theo Diamantakis, Darryl D. Holm, Grigorios A. Pavliotis:
Variational Principles on Geometric Rough Paths and the Lévy Area Correction. SIAM J. Appl. Dyn. Syst. 22(2): 1182-1218 (2023) - 2022
- [j21]Assyr Abdulle, Grigorios A. Pavliotis, Andrea Zanoni:
Eigenfunction martingale estimating functions and filtered data for drift estimation of discretely observed multiscale diffusions. Stat. Comput. 32(2): 34 (2022) - [j20]Grigorios A. Pavliotis, Andrew M. Stuart, Urbain Vaes:
Derivative-Free Bayesian Inversion Using Multiscale Dynamics. SIAM J. Appl. Dyn. Syst. 21(1): 284-326 (2022) - [j19]Grigorios A. Pavliotis, Andrea Zanoni:
Eigenfunction Martingale Estimators for Interacting Particle Systems and Their Mean Field Limit. SIAM J. Appl. Dyn. Syst. 21(4): 2338-2370 (2022) - 2021
- [j18]Grigorios A. Pavliotis, Gabriel Stoltz, Urbain Vaes:
Scaling Limits for the Generalized Langevin Equation. J. Nonlinear Sci. 31(1): 8 (2021) - 2020
- [j17]Susana N. Gomes, Grigorios A. Pavliotis, Urbain Vaes:
Mean Field Limits for Interacting Diffusions with Colored Noise: Phase Transitions and Spectral Numerical Methods. Multiscale Model. Simul. 18(3): 1343-1370 (2020) - 2019
- [j16]Nikolas Nüsken, Grigorios A. Pavliotis:
Constructing Sampling Schemes via Coupling: Markov Semigroups and Optimal Transport. SIAM/ASA J. Uncertain. Quantification 7(1): 324-382 (2019) - [j15]Ruben J. Tomlin, Susana N. Gomes, Grigorios A. Pavliotis, Demetrios T. Papageorgiou:
Optimal Control of Thin Liquid Films and Transverse Mode Effects. SIAM J. Appl. Dyn. Syst. 18(1): 117-149 (2019) - 2018
- [j14]Susana N. Gomes, Grigorios A. Pavliotis:
Mean Field Limits for Interacting Diffusions in a Two-Scale Potential. J. Nonlinear Sci. 28(3): 905-941 (2018) - [j13]Richard V. Craster, Sébastien Guenneau, H. R. Hutridurga, Grigorios A. Pavliotis:
Cloaking via Mapping for the Heat Equation. Multiscale Model. Simul. 16(3): 1146-1174 (2018) - 2017
- [j12]Assyr Abdulle, Grigorios A. Pavliotis, Urbain Vaes:
Spectral Methods for Multiscale Stochastic Differential Equations. SIAM/ASA J. Uncertain. Quantification 5(1): 720-761 (2017) - 2015
- [j11]Serafim Kalliadasis, Sebastian Krumscheid, Grigorios A. Pavliotis:
A new framework for extracting coarse-grained models from time series with multiscale structure. J. Comput. Phys. 296: 314-328 (2015) - [j10]Andrew B. Duncan, Charles M. Elliott, Grigorios A. Pavliotis, Andrew M. Stuart:
A Multiscale Analysis of Diffusions on Rapidly Varying Surfaces. J. Nonlinear Sci. 25(2): 389-449 (2015) - 2014
- [j9]Markus Schmuck, Grigorios A. Pavliotis, Serafim Kalliadasis:
Effective macroscopic interfacial transport equations in strongly heterogeneous environments for general homogeneous free energies. Appl. Math. Lett. 35: 12-17 (2014) - [j8]Juan C. Latorre, Peter R. Kramer, Grigorios A. Pavliotis:
Numerical methods for computing effective transport properties of flashing Brownian motors. J. Comput. Phys. 257: 57-82 (2014) - 2013
- [j7]Sebastian Krumscheid, Grigorios A. Pavliotis, Serafim Kalliadasis:
Semiparametric Drift and Diffusion Estimation for Multiscale Diffusions. Multiscale Model. Simul. 11(2): 442-473 (2013) - 2012
- [j6]Assyr Abdulle, Grigorios A. Pavliotis:
Numerical methods for stochastic partial differential equations with multiple scales. J. Comput. Phys. 231(6): 2482-2497 (2012) - [j5]Benjamin D. Goddard, Grigorios A. Pavliotis, Serafim Kalliadasis:
The Overdamped Limit of Dynamic Density Functional Theory: Rigorous Results. Multiscale Model. Simul. 10(2): 633-663 (2012) - 2009
- [j4]Grigorios A. Pavliotis, Andrew M. Stuart, Konstantinos C. Zygalakis:
Calculating effective diffusivities in the limit of vanishing molecular diffusion. J. Comput. Phys. 228(4): 1030-1055 (2009) - [j3]Sofia C. Olhede, Adam M. Sykulski, Grigorios A. Pavliotis:
Frequency Domain Estimation of Integrated Volatility for Itô Processes in the Presence of Market-Microstructure Noise. Multiscale Model. Simul. 8(2): 393-427 (2009) - 2005
- [j2]Grigorios A. Pavliotis, Andrew M. Stuart:
Analysis of White Noise Limits for Stochastic Systems with Two Fast Relaxation Times. Multiscale Model. Simul. 4(1): 1-35 (2005) - 2003
- [j1]Grigorios A. Pavliotis, Andrew M. Stuart:
White Noise Limits for Inertial Particles in a Random Field. Multiscale Model. Simul. 1(4): 527-553 (2003)
Informal and Other Publications
- 2023
- [i14]Anastasia Borovykh, Nikolas Kantas, Panos Parpas, Greg Pavliotis:
Privacy Risk for anisotropic Langevin dynamics using relative entropy bounds. CoRR abs/2302.00766 (2023) - [i13]Thomas Gaskin, Grigorios A. Pavliotis, Mark Girolami:
Inferring networks from time series: a neural approach. CoRR abs/2303.18059 (2023) - [i12]Nikolaos Evangelou, Dimitrios G. Giovanis, George A. Kevrekidis, Grigorios A. Pavliotis, Ioannis G. Kevrekidis:
Machine Learning for the identification of phase-transitions in interacting agent-based systems. CoRR abs/2310.19039 (2023) - [i11]Thomas Gaskin, Tim Conrad, Grigorios A. Pavliotis, Christof Schütte:
Neural parameter calibration and uncertainty quantification for epidemic forecasting. CoRR abs/2312.03147 (2023) - [i10]Grigorios A. Pavliotis, Sebastian Reich, Andrea Zanoni:
Filtered data based estimators for stochastic processes driven by colored noise. CoRR abs/2312.15975 (2023) - 2022
- [i9]Alessandro Barp, Lancelot Da Costa, Guilherme França, Karl J. Friston, Mark A. Girolami, Michael I. Jordan, Grigorios A. Pavliotis:
Geometric Methods for Sampling, Optimisation, Inference and Adaptive Agents. CoRR abs/2203.10592 (2022) - [i8]Grigorios A. Pavliotis, Gabriel Stoltz, Urbain Vaes:
Mobility estimation for Langevin dynamics using control variates. CoRR abs/2206.09781 (2022) - [i7]Thomas Gaskin, Grigorios A. Pavliotis, Mark Girolami:
Neural parameter calibration for large-scale multi-agent models. CoRR abs/2209.13565 (2022) - [i6]Grigorios A. Pavliotis, Andrea Zanoni:
A method of moments estimator for interacting particle systems and their mean field limit. CoRR abs/2212.00403 (2022) - [i5]Lancelot Da Costa, Grigorios A. Pavliotis:
The entropy production of stationary diffusions. CoRR abs/2212.05125 (2022) - 2021
- [i4]Assyr Abdulle, Grigorios A. Pavliotis, Andrea Zanoni:
Eigenfunction martingale estimating functions and filtered data for drift estimation of discretely observed multiscale diffusions. CoRR abs/2104.10587 (2021) - [i3]Grigorios A. Pavliotis, Andrea Zanoni:
Eigenfunction martingale estimators for interacting particle systems and their mean field limit. CoRR abs/2112.04870 (2021) - 2020
- [i2]Assyr Abdulle, Giacomo Garegnani, Grigorios A. Pavliotis, Andrew M. Stuart, Andrea Zanoni:
Drift Estimation of Multiscale Diffusions Based on Filtered Data. CoRR abs/2009.13457 (2020) - 2019
- [i1]Nikolas Kantas, Panos Parpas, Grigorios A. Pavliotis:
The sharp, the flat and the shallow: Can weakly interacting agents learn to escape bad minima? CoRR abs/1905.04121 (2019)
Coauthor Index
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