SRMD: Sparse random mode decomposition N Richardson, H Schaeffer, G Tran Communications on Applied Mathematics and Computation 6 (2), 879-906, 2024 | 13 | 2024 |
Adaptive Group Lasso Neural Network Models for Functions of Few Variables and Time-Dependent Data LST Ho, N Richardson, G Tran arXiv preprint arXiv:2108.10825, 2021 | 4 | 2021 |
Potential Vorticity Generation in Breaking Gravity Waves ML Waite, N Richardson Atmosphere 14 (5), 881, 2023 | 3 | 2023 |
Tracing Sedimentary Origins in Multivariate Geochronology via Constrained Tensor Factorization N Graham, N Richardson, MP Friedlander, J Saylor https://friedlander.io/publications/2024-sediment-source-analysis/, 2024 | | 2024 |
Viscous and Diffusive Generation of Potential Vorticity in Stratified Turbulence ML Waite, N Richardson AGU Fall Meeting Abstracts 2023, NG41A-06, 2023 | | 2023 |
A Sparse Random Feature Model for Signal Decomposition NJE Richardson University of Waterloo, 2022 | | 2022 |