On the stability of unevenly spaced samples for interpolation and quadrature A Yu, A Townsend BIT Numerical Mathematics 63 (2), 23, 2023 | 9 | 2023 |
Tuning frequency bias in neural network training with nonuniform data A Yu, Y Yang, A Townsend The Eleventh International Conference on Learning Representations, 2023 | 9* | 2023 |
Robustifying State-space Models for Long Sequences via Approximate Diagonalization A Yu, A Nigmetov, D Morozov, MW Mahoney, NB Erichson The Twelfth International Conference on Learning Representations, 2024 | 7 | 2024 |
Arbitrary-depth universal approximation theorems for operator neural networks A Yu, C Becquey, D Halikias, ME Mallory, A Townsend arXiv preprint arXiv:2109.11354, 2021 | 7 | 2021 |
Hope for a Robust Parameterization of Long-memory State Space Models A Yu, MW Mahoney, NB Erichson The Thirteenth International Conference on Learning Representations, 2025 | 5* | 2025 |
Approximation by polynomial splines on curved triangulations LL Schumaker, A Yu Computer Aided Geometric Design 92, 102050, 2022 | 4 | 2022 |
Leveraging the Hankel norm approximation and data‐driven algorithms in reduced order modeling A Yu, A Townsend Numerical Linear Algebra with Applications, e2555, 2024 | 3* | 2024 |
H-chromatic symmetric functions NM Eagles, AM Foley, A Huang, E Karangozishvili, A Yu The Electronic Journal of Combinatorics 29 (1), 2022 | 3 | 2022 |
Tuning Frequency Bias of State Space Models A Yu, D Lyu, SH Lim, MW Mahoney, NB Erichson The Thirteenth International Conference on Learning Representations, 2025 | 1 | 2025 |
Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting SH Lim, Y Wang, A Yu, E Hart, MW Mahoney, XS Li, NB Erichson arXiv preprint arXiv:2410.03229, 2024 | 1 | 2024 |
A Deep State Space Model for Rainfall-Runoff Simulations Y Wang, L Zhang, A Yu, NB Erichson, T Yang arXiv preprint arXiv:2501.14980, 2025 | | 2025 |
How to reveal the rank of a matrix? A Damle, S Glas, A Townsend, A Yu arXiv preprint arXiv:2405.04330, 2024 | | 2024 |