G.A. Pavliotis

G.A. Pavliotis

Imperial College London

H-index: 37

Europe-United Kingdom

About G.A. Pavliotis

G.A. Pavliotis, With an exceptional h-index of 37 and a recent h-index of 23 (since 2020), a distinguished researcher at Imperial College London, specializes in the field of applied mathematics, interacting particle systems, statistical inference, statistical mechanics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Bayesian Nonparametric Inference in McKean-Vlasov models

Inferring networks from time series: A neural approach

Drift estimation of multiscale diffusions based on filtered data

On the Generalized Langevin Equation for Simulated Annealing

Phase transitions, logarithmic Sobolev inequalities, and uniform-in-time propagation of chaos for weakly interacting diffusions

Optimal friction matrix for underdamped Langevin sampling

Response Theory Identifies Reaction Coordinates and Explains Critical Phenomena in Noisy Interacting Systems

Variational principles on geometric rough paths and the Lévy area correction

G.A. Pavliotis Information

University

Position

Department of Mathematics

Citations(all)

5864

Citations(since 2020)

3206

Cited By

4012

hIndex(all)

37

hIndex(since 2020)

23

i10Index(all)

87

i10Index(since 2020)

63

Email

University Profile Page

Imperial College London

Google Scholar

View Google Scholar Profile

G.A. Pavliotis Skills & Research Interests

applied mathematics

interacting particle systems

statistical inference

statistical mechanics

Top articles of G.A. Pavliotis

Title

Journal

Author(s)

Publication Date

Bayesian Nonparametric Inference in McKean-Vlasov models

arXiv preprint arXiv:2404.16742

Richard Nickl

Grigorios A Pavliotis

Kolyan Ray

2024/4/25

Inferring networks from time series: A neural approach

PNAS nexus

Thomas Gaskin

Grigorios A Pavliotis

Mark Girolami

2024/4

Drift estimation of multiscale diffusions based on filtered data

Foundations of Computational Mathematics

Assyr Abdulle

Giacomo Garegnani

Grigorios A Pavliotis

Andrew M Stuart

Andrea Zanoni

2023/2

On the Generalized Langevin Equation for Simulated Annealing

SIAM/ASA Journal on Uncertainty Quantification

Martin Chak

Nikolas Kantas

Grigorios A Pavliotis

2023/3/31

Phase transitions, logarithmic Sobolev inequalities, and uniform-in-time propagation of chaos for weakly interacting diffusions

Communications in Mathematical Physics

Matías G Delgadino

Rishabh S Gvalani

Grigorios A Pavliotis

Scott A Smith

2023/7

Optimal friction matrix for underdamped Langevin sampling

ESAIM: Mathematical Modelling and Numerical Analysis

Martin Chak

Nikolas Kantas

Tony Lelièvre

Grigorios A Pavliotis

2023/11/1

Response Theory Identifies Reaction Coordinates and Explains Critical Phenomena in Noisy Interacting Systems

arXiv preprint arXiv:2303.09047

Niccolò Zagli

Valerio Lucarini

Grigorios Pavliotis

2023/3/16

Variational principles on geometric rough paths and the Lévy area correction

SIAM Journal on Applied Dynamical Systems

Theo Diamantakis

Darryl D Holm

Grigorios A Pavliotis

2023/6/30

Machine Learning for the identification of phase-transitions in interacting agent-based systems

arXiv preprint arXiv:2310.19039

Nikolaos Evangelou

Dimitrios G Giovanis

George A Kevrekidis

Grigorios A Pavliotis

Ioannis G Kevrekidis

2023/10/29

Neural parameter calibration for large-scale multiagent models

Proceedings of the National Academy of Sciences

Thomas Gaskin

Grigorios A Pavliotis

Mark Girolami

2023/2/14

Mobility estimation for Langevin dynamics using control variates

Multiscale Modeling & Simulation

Grigorios A Pavliotis

Gabriel Stoltz

Urbain Vaes

2023/6/30

Path integrals, particular kinds, and strange things

Karl Friston

Lancelot Da Costa

Dalton AR Sakthivadivel

Conor Heins

Grigorios A Pavliotis

...

2023/8/29

Dimension reduction of noisy interacting systems

Physical Review Research

Niccolò Zagli

Grigorios A Pavliotis

Valerio Lucarini

Alexander Alecio

2023/2/3

The free energy principle made simpler but not too simple

Karl Friston

Lancelot Da Costa

Noor Sajid

Conor Heins

Kai Ueltzhöffer

...

2023/6/19

The entropy production of stationary diffusions

Journal of Physics A: Mathematical and Theoretical

Lancelot Da Costa

Grigorios A Pavliotis

2023/8/22

Filtered data based estimators for stochastic processes driven by colored noise

arXiv preprint arXiv:2312.15975

Grigorios A Pavliotis

Sebastian Reich

Andrea Zanoni

2023/12/26

Privacy Risk for anisotropic Langevin dynamics using relative entropy bounds

arXiv preprint arXiv:2302.00766

Anastasia Borovykh

Nikolas Kantas

Panos Parpas

Greg Pavliotis

2023/2/1

Brownian Motion in an N-Scale Periodic Potential

Journal of Statistical Physics

AB Duncan

Manh Hong Duong

GA Pavliotis

2023/3/31

Online parameter estimation for the McKean–Vlasov stochastic differential equation

Stochastic Processes and their Applications

Louis Sharrock

Nikolas Kantas

Panos Parpas

Grigorios A Pavliotis

2023/8/1

Neural parameter calibration and uncertainty quantification for epidemic forecasting

arXiv preprint arXiv:2312.03147

Thomas Gaskin

Tim Conrad

Grigorios A Pavliotis

Christof Schütte

2023/12/5

See List of Professors in G.A. Pavliotis University(Imperial College London)

Co-Authors

H-index: 269
Karl Friston

Karl Friston

University College London

H-index: 78
Andrew M Stuart

Andrew M Stuart

California Institute of Technology

H-index: 53
Martin Hairer

Martin Hairer

Imperial College London

H-index: 48
Serafim Kalliadasis

Serafim Kalliadasis

Imperial College London

H-index: 43
LELIEVRE, TONY

LELIEVRE, TONY

École des Ponts ParisTech

H-index: 39
Demetrios T. Papageorgiou

Demetrios T. Papageorgiou

Imperial College London

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