| 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 | 45 | 2020 |
| Sparse and functional principal components analysis GI Allen, M Weylandt 2019 IEEE Data Science Workshop (DSW), 11-16, 2019 | 45 | 2019 |
| To the fairness frontier and beyond: Identifying, quantifying, and optimizing the fairness-accuracy pareto frontier CO Little, M Weylandt, GI Allen arXiv preprint arXiv:2206.00074, 2022 | 20 | 2022 |
| A Tutorial on Hidden Markov Models using Stan L Damiano, B Peterson, M Weylandt StanCon 2018, 2018 | 15 | 2018 |
| 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 | 14 | 2021 |
| Splitting methods for convex bi-clustering and co-clustering M Weylandt 2019 IEEE Data Science Workshop (DSW), 237-242, 2019 | 13 | 2019 |
| 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 | 6 | 2024 |
| Network clustering for latent state and changepoint detection M Navarro, GI Allen, M Weylandt arXiv preprint arXiv:2111.01273, 2021 | 5 | 2021 |
| Automatic registration and clustering of time series M Weylandt, G Michailidis ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 5 | 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 | 5 | 2021 |
| 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 | 4 | 2023 |
| 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 |
| Space‐time causal discovery in Earth system science: A local stencil learning approach JJ Nichol, M Weylandt, GM Fricke, ME Moses, D Bull, LP Swiler Journal of Geophysical Research: Machine Learning and Computation 2 (3 …, 2025 | 3 | 2025 |
| Conditional multi-step attribution for climate forcings CR Wentland, M Weylandt, LP Swiler, TS Ehrmann, D Bull arXiv preprint arXiv:2409.01396, 2024 | 3 | 2024 |
| Multivariate analysis for multiple network data via semi-symmetric tensor pca M Weylandt, G Michailidis Journal of the American Statistical Association, 1-23, 2025 | 2 | 2025 |
| 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 |
| Optimal accuracy for linear sets of equations with the graph Laplacian RB Lehoucq, M Weylandt, JW Berry arXiv preprint arXiv:2405.07877, 2024 | 1 | 2024 |
| A Coupled CP Decomposition for Principal Components Analysis of Symmetric Networks. M Weylandt, G Michailidis arXiv preprint arXiv:2202.04719, 2022 | 1 | 2022 |
| Sparse partial least squares for coarse noisy graph alignment M Weylandt, G Michailidis, TM Roddenberry 2021 IEEE Statistical Signal Processing Workshop (SSP), 561-565, 2021 | 1 | 2021 |
| Automatic Registration and Convex Clustering of Time Series. M Weylandt, G Michailidis CoRR, 2020 | 1 | 2020 |
Genevera I. AllenColumbia UniversityVerified email at columbia.edu
