Andrew Thompson

According to our database, Andrew Thompson authored at least 11 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Extending confidence calibration to generalised measures of variation.

Andrew Thompson, Vivek Desai

CoRR, February, 2026

Uncertainty propagation through trained multi-layer perceptrons: Exact analytical results.

Andrew Thompson, Miles McCrory

CoRR, January, 2026

Machine-learning for photoplethysmography analysis: Benchmarking feature, image, and signal-based approaches.

Mohammad Moulaeifard, Loic Coquelin, Mantas Rinkevicius, Andrius Solosenko, Oskar Pfeffer, Ciaran Bench, Nando Hegemann, Sara Vardanega, Manasi Nandi, Jordi Alastruey, Christian Heiss, Vaidotas Marozas, Andrew Thompson, Philip J. Aston, Peter H. Charlton, Nils Strodthoff

Biomed. Signal Process. Control., 2026

2025

A systematic evaluation of uncertainty quantification techniques in deep learning: a case study in photoplethysmography signal analysis.

Ciaran Bench, Oskar Pfeffer, Vivek Desai, Mohammad Moulaeifard, Loic Coquelin, Peter H. Charlton, Nils Strodthoff, Nando Hegemann, Philip J. Aston, Andrew Thompson

CoRR, November, 2025

A machine learning approach to automation and uncertainty evaluation for self-validating thermocouples.

Samuel Bilson, Andrew Thompson, Declan Tucker, Jonathan Pearce

CoRR, October, 2025

Reality Check: A New Evaluation Ecosystem Is Necessary to Understand AI's Real World Effects.

Reva Schwartz, Rumman Chowdhury, Akash Kundu, Heather Frase, Marzieh Fadaee, Tom David, Gabriella Waters, Afaf Taïk, Morgan Briggs, Patrick Hall, Shomik Jain, Kyra Yee, Spencer Thomas, Sundeep Bhandari, Paul Duncan, Andrew Thompson, Maya Carlyle, Qinghua Lu, Matthew Holmes, Theodora Skeadas

CoRR, May, 2025

Uncertainty quantification with approximate variational learning for wearable photoplethysmography prediction tasks.

Ciaran Bench, Vivek Desai, Mohammad Moulaeifard, Nils Strodthoff, Philip J. Aston, Andrew Thompson

CoRR, May, 2025

A metrological framework for uncertainty evaluation in machine learning classification models.

Samuel Bilson, Maurice Cox, Anna Pustogvar, Andrew Thompson

CoRR, April, 2025

2024

Trustworthy Artificial Intelligence in the Context of Metrology.

Tameem Adel, Sam Bilson, Mark Levene, Andrew Thompson

CoRR, 2024

Analytical results for uncertainty propagation through trained machine learning regression models.

Andrew Thompson

CoRR, 2024

Physics-Informed Machine Learning Modelling of RF-EMF Exposure in Massive MIMO Systems.

Samuel Bilson, Tian Hong Loh, Fabien Héliot, Andrew Thompson

IEEE Access, 2024