Nick Pepper

According to our database, Nick Pepper authored at least 9 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Air Traffic Controller Task Demand via Graph Neural Networks: An Interpretable Approach to Airspace Complexity.

Edward Henderson, Dewi Gould, Richard M. Everson, George De Ath, Nick Pepper

CoRR, July, 2025

Probabilistic Simulation of Aircraft Descent via a Hybrid Physics-Data Approach.

Amy Hodgkin, Nick Pepper, Marc Thomas

CoRR, April, 2025

Geometric Principles for Machine Learning of Dynamical Systems.

Zack Xuereb Conti, David J. Wagg, Nick Pepper

CoRR, February, 2025

2024

Learning Generative Models for Climbing Aircraft from Radar Data.

Nick Pepper, Marc Thomas

J. Aerosp. Inf. Syst., 2024

SeAr PC: Sensitivity Enhanced Arbitrary Polynomial Chaos.

Nick Pepper, Francesco Montomoli, Kyriakos Kantarakias

CoRR, 2024

2023

Context-Aware Generative Models for Prediction of Aircraft Ground Tracks.

Nick Pepper, George De Ath, Marc Thomas, Richard M. Everson, Tim J. Dodwell

CoRR, 2023

Probabilistic Machine Learning to Improve Generalisation of Data-Driven Turbulence Modelling.

Joel Ho, Nick Pepper, Tim J. Dodwell

CoRR, 2023

2022

Adaptive learning for reliability analysis using Support Vector Machines.

Nick Pepper, Luis G. Crespo, Francesco Montomoli

Reliab. Eng. Syst. Saf., 2022

A Probabilistic Model for Aircraft in Climb using Monotonic Functional Gaussian Process Emulators.

Nick Pepper, Marc Thomas, George De Ath, Enrico Oliver, Richard Cannon, Richard M. Everson, Tim J. Dodwell

CoRR, 2022