Mark Girolami

Mark Girolami

University of Cambridge

H-index: 74

Europe-United Kingdom

About Mark Girolami

Mark Girolami, With an exceptional h-index of 74 and a recent h-index of 48 (since 2020), a distinguished researcher at University of Cambridge, specializes in the field of Computational Statistics, Bayesian Statistics, Machine Learning, Data Centric Engineering.

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

Inferring networks from time series: A neural approach

Towards Multilevel Modelling of Train Passing Events on the Staffordshire Bridge

On the performance of pothole detection algorithms enhanced via data augmentation

Table inference for combinatorial origin‐destination choices in agent‐based population synthesis

Near real-time social distance estimation in London

Improving embedding of graphs with missing data by soft manifolds

Riemannian Laplace Approximation with the Fisher Metric

6 Data-Centric Monitoring of Wind Farms

Mark Girolami Information

University

Position

___

Citations(all)

23967

Citations(since 2020)

9569

Cited By

18291

hIndex(all)

74

hIndex(since 2020)

48

i10Index(all)

218

i10Index(since 2020)

151

Email

University Profile Page

Google Scholar

Mark Girolami Skills & Research Interests

Computational Statistics

Bayesian Statistics

Machine Learning

Data Centric Engineering

Top articles of Mark Girolami

Inferring networks from time series: A neural approach

PNAS nexus

2024/4

Mark Girolami
Mark Girolami

H-Index: 45

Towards Multilevel Modelling of Train Passing Events on the Staffordshire Bridge

arXiv preprint arXiv:2403.17820

2024/3/26

Mark Girolami
Mark Girolami

H-Index: 45

Andrew Duncan
Andrew Duncan

H-Index: 4

On the performance of pothole detection algorithms enhanced via data augmentation

Transportation Research Procedia

2023/7/11

Mark Girolami
Mark Girolami

H-Index: 45

Table inference for combinatorial origin‐destination choices in agent‐based population synthesis

Stat

2024

Mark Girolami
Mark Girolami

H-Index: 45

Near real-time social distance estimation in London

The Computer Journal

2024/1

Improving embedding of graphs with missing data by soft manifolds

arXiv preprint arXiv:2311.17598

2023/11/29

Mark Girolami
Mark Girolami

H-Index: 45

Riemannian Laplace Approximation with the Fisher Metric

arXiv preprint arXiv:2311.02766

2023/11/5

6 Data-Centric Monitoring of Wind Farms

Data Driven Methods for Civil Structural Health Monitoring and Resilience: Latest Developments and Applications

2023/10/26

Fully probabilistic deep models for forward and inverse problems in parametric PDEs

Journal of Computational Physics

2023/10/15

Tweedie moment projected diffusions for inverse problems

arXiv preprint arXiv:2310.06721

2023/10/10

Warped geometric information on the optimisation of Euclidean functions

arXiv preprint arXiv:2308.08305

2023/8/16

Exploring Model Misspecification in Statistical Finite Elements via Shallow Water Equations

arXiv preprint arXiv:2307.05334

2023/7/11

Mark Girolami
Mark Girolami

H-Index: 45

Random grid neural processes for parametric partial differential equations

2023/7/3

Incorporating Reliability in Graph Information Propagation by Fluid Dynamics Diffusion: A case of Multimodal Semisupervised Deep Learning

2023/6/4

Encoding domain expertise into multilevel models for source location

arXiv preprint arXiv:2305.08657

2023/5/15

Andrew Duncan
Andrew Duncan

H-Index: 4

Mark Girolami
Mark Girolami

H-Index: 45

Hierarchical Bayesian modeling for knowledge transfer across engineering fleets via multitask learning

Computer‐Aided Civil and Infrastructure Engineering

2023/5

Ajith Kumar Parlikad
Ajith Kumar Parlikad

H-Index: 21

Mark Girolami
Mark Girolami

H-Index: 45

Interacting particle langevin algorithm for maximum marginal likelihood estimation

arXiv preprint arXiv:2303.13429

2023/3/23

Mark Girolami
Mark Girolami

H-Index: 45

Neural parameter calibration for large-scale multiagent models

Proceedings of the National Academy of Sciences

2023/2/14

Mark Girolami
Mark Girolami

H-Index: 45

Bayesian learning via neural Schrödinger–Föllmer flows

Statistics and Computing

2023/2

Data-Centric Monitoring of Wind Farms: Combining Sources of Information

2023/1/1

See List of Professors in Mark Girolami University(University of Cambridge)

Co-Authors

academic-engine