| On the capacity and superposition of minima in neural network loss function landscapes MP Niroomand, JWR Morgan, CT Cafolla, DJ Wales Machine Learning: Science and Technology 3 (2), 025004, 2022 | 7 | 2022 |
| Characterising the area under the curve loss function landscape MP Niroomand, CT Cafolla, JWR Morgan, DJ Wales Machine Learning: Science and Technology 3 (1), 015019, 2022 | 6 | 2022 |
| Physics inspired approaches towards understanding gaussian processes MP Niroomand, L Dicks, EO Pyzer-Knapp, DJ Wales arXiv preprint arXiv:2305.10748, 2023 | 1 | 2023 |
| Insights into machine learning models from chemical physics: an energy landscapes approach (EL for ML) MP Niroomand, L Dicks, EO Pyzer-Knapp, DJ Wales Digital Discovery 3 (4), 637-648, 2024 | | 2024 |
| Physics-inspired interpretability of machine learning models MP Niroomand, DJ Wales ICLR 2023 Workshop on Physics for Machine Learning, 2023 | | 2023 |
