Characterising the area under the curve loss function landscape. - Maximilian P. Niroomand; Conor T. Cafolla; John W. R. Morgan; David J. Wales (Mach. Learn. Sci. Technol., 2022)

On the capacity and superposition of minima in neural network loss function landscapes. - Maximilian P. Niroomand; John W. R. Morgan; Conor T. Cafolla; David J. Wales (Mach. Learn. Sci. Technol., 2022)

Physics-Inspired Interpretability Of Machine Learning Models. - Maximilian P. Niroomand; David J. Wales (CoRR, 2023)

Physics Inspired Approaches Towards Understanding Gaussian Processes. - Maximilian P. Niroomand; Luke Dicks; Edward O. Pyzer-Knapp; David J. Wales (CoRR, 2023)

Explainable Gaussian processes: a loss landscape perspective. - Maximilian P. Niroomand; Luke Dicks; Edward O. Pyzer-Knapp; David J. Wales (Mach. Learn. Sci. Technol., 2024)