Scalars are universal: Equivariant machine learning, structured like classical physics S Villar, DW Hogg, K Storey-Fisher, W Yao, B Blum-Smith Advances in Neural Information Processing Systems 34, 28848-28863, 2021 | 114 | 2021 |
YASS: yet another spike sorter JH Lee, DE Carlson, H Shokri Razaghi, W Yao, GA Goetz, E Hagen, ... Advances in neural information processing systems 30, 2017 | 55 | 2017 |
Experimental performance of graph neural networks on random instances of max-cut W Yao, AS Bandeira, S Villar Wavelets and Sparsity XVIII 11138, 242-251, 2019 | 40 | 2019 |
Ensemble methods for survival function estimation with time-varying covariates W Yao, H Frydman, D Larocque, JS Simonoff Statistical Methods in Medical Research 31 (11), 2022 | 27 | 2022 |
An ensemble method for interval-censored time-to-event data W Yao, H Frydman, JS Simonoff Biostatistics 22 (1), 198-213, 2021 | 18 | 2021 |
Dimensionless machine learning: Imposing exact units equivariance S Villar, W Yao, DW Hogg, B Blum-Smith, B Dumitrascu Journal of Machine Learning Research 24 (109), 1-32, 2023 | 14 | 2023 |
Dynamic estimation with random forests for discrete‐time survival data H Moradian, W Yao, D Larocque, JS Simonoff, H Frydman Canadian Journal of Statistics 50 (2), 533-548, 2022 | 12 | 2022 |
Dimensionless machine learning: Imposing exact units equivariance S Villar, W Yao, DW Hogg, B Blum-Smith, B Dumitrascu arXiv preprint arXiv:2204.00887, 2022 | 10 | 2022 |
The passive symmetries of machine learning S Villar, DW Hogg, W Yao, GA Kevrekidis, B Schölkopf arXiv preprint arXiv:2301.13724 580, 2023 | 8 | 2023 |
Towards fully covariant machine learning S Villar, DW Hogg, W Yao, GA Kevrekidis, B Schölkopf arXiv preprint arXiv:2301.13724, 2023 | 7 | 2023 |
A simple equivariant machine learning method for dynamics based on scalars W Yao, K Storey-Fisher, DW Hogg, S Villar arXiv preprint arXiv:2110.03761, 2021 | 5 | 2021 |
Scalars are universal: Gauge-equivariant machine learning, structured like classical physics S Villar, DW Hogg, K Storey-Fisher, W Yao, B Blum-Smith arXiv preprint arXiv:2106.06610, 2021 | 2 | 2021 |
Ensemble methods for survival function estimation with time-varying covariates W Yao, H Frydman, D Larocque, JS Simonoff arXiv preprint arXiv:2006.00567, 2020 | 2 | 2020 |