Sparse and functional principal components analysis GI Allen, M Weylandt 2019 IEEE Data Science Workshop (DSW), 11-16, 2019 | 44 | 2019 |
Dynamic visualization and fast computation for convex clustering via algorithmic regularization M Weylandt, J Nagorski, GI Allen Journal of Computational and Graphical Statistics 29 (1), 87-96, 2020 | 37 | 2020 |
HepatoScore‐14: measures of biological heterogeneity significantly improve prediction of hepatocellular carcinoma risk JS Morris, MM Hassan, YE Zohner, Z Wang, L Xiao, A Rashid, A Haque, ... Hepatology 73 (6), 2278-2292, 2021 | 18 | 2021 |
A Tutorial on Hidden Markov Models using Stan L Damiano, B Peterson, M Weylandt StanCon 2018, 2018 | 13 | 2018 |
To the fairness frontier and beyond: Identifying, quantifying, and optimizing the fairness-accuracy pareto frontier C Little Rice University, 2023 | 12 | 2023 |
Splitting methods for convex bi-clustering and co-clustering M Weylandt 2019 IEEE Data Science Workshop (DSW), 237-242, 2019 | 12 | 2019 |
Network clustering for latent state and changepoint detection M Navarro, GI Allen, M Weylandt arXiv preprint arXiv:2111.01273, 2021 | 4 | 2021 |
Automatic registration and clustering of time series M Weylandt, G Michailidis ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 4 | 2021 |
Simultaneous grouping and denoising via sparse convex wavelet clustering M Weylandt, TM Roddenberry, GI Allen 2021 IEEE Data Science and Learning Workshop (DSLW), 1-8, 2021 | 4 | 2021 |
Multi-rank sparse and functional PCA manifold optimization and iterative deflation techniques M Weylandt 2019 IEEE 8th International Workshop on Computational Advances in Multi …, 2019 | 4 | 2019 |
Conditional multi-step attribution for climate forcings CR Wentland, M Weylandt, LP Swiler, TS Ehrmann, D Bull arXiv preprint arXiv:2409.01396, 2024 | 2 | 2024 |
Space-Time Causal Discovery in Climate Science: A Local Stencil Learning Approach JJ Nichol, M Weylandt, M Fricke, ME Moses, DL Bull, LP Swiler Authorea Preprints, 2024 | 1 | 2024 |
Beyond PCA: Additional Dimension Reduction Techniques to Consider in the Development of Climate Fingerprints M Weylandt, LP Swiler Journal of Climate 37 (5), 1723-1735, 2024 | 1 | 2024 |
Multivariate Analysis for Multiple Network Data via Semi-Symmetric Tensor PCA M Weylandt, G Michailidis arXiv preprint arXiv:2202.04719, 2022 | 1 | 2022 |
Computational and Statistical Methodology for Highly Structured Data RM Weylandt Jr Rice University, 2020 | 1 | 2020 |
Regime Switching and Technical Trading with Dynamic Bayesian Networks in High-Frequency Stock Markets L Damiano, B Peterson, M Weylandt | 1 | 2017 |
Recovering the Space-Time Evolution of Volcanic Aerosols with Localized Causal Discovery JJ Nichol, M Weylandt, L Swiler AGU24, 2024 | | 2024 |
Improved Subseasonal Forecasting of Extreme Polar Vortices Using Machine Learning T Ehrmann, M Gulian, M Weylandt, T Lowry Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2024 | | 2024 |
Optimal accuracy for linear sets of equations with the graph Laplacian RB Lehoucq, M Weylandt, JW Berry arXiv preprint arXiv:2405.07877, 2024 | | 2024 |
Benchmarking the PCMCI Causal Discovery Algorithm for Spatiotemporal Systems JJ Nichol, M Weylandt, M Smith, LP Swiler Sandia National Lab.(SNL-CA), Livermore, CA (United States); Sandia National …, 2023 | | 2023 |