| Factorization of binary matrices: Rank relations, uniqueness and model selection of boolean decomposition D DeSantis, E Skau, DP Truong, B Alexandrov ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (6), 1-24, 2022 | 15* | 2022 |
| Permutation pattern avoidance and the Catalan triangle D Desantis, R Field, W Hough, B Jones, R Meissen, J Ziefle Missouri Journal of Mathematical Sciences 25 (1), 50-60, 2013 | 6 | 2013 |
| Boolean matrix factorization via nonnegative auxiliary optimization DP Truong, E Skau, D Desantis, B Alexandrov IEEE Access 9, 117169-117177, 2021 | 5 | 2021 |
| Nonnegative canonical polyadic decomposition with rank deficient factors B Alexandrov, D DeSantis, G Manzini, E Skau arXiv preprint arXiv:1909.07570 3, 2019 | 5 | 2019 |
| Nonnegative canonical tensor decomposition with linear constraints: nnCANDELINC B Alexandrov, DF DeSantis, G Manzini, EW Skau Numerical Linear Algebra with Applications 29 (6), e2443, 2022 | 4 | 2022 |
| High-order Tensor-Train Finite Volume Method for Shallow Water Equations ME Danis, DP Truong, D DeSantis, M Petersen, KO Rasmussen, ... arXiv preprint arXiv:2408.03483, 2024 | 2 | 2024 |
| Operator algebras generated by left invertibles D DeSantis The University of Nebraska-Lincoln, 2019 | 2 | 2019 |
| Space-Time Spectral Element Tensor Network Approach for Time Dependent Convection Diffusion Reaction Equation with Variable Coefficients D Adak, DP Truong, R Vuchkov, S De, D DeSantis, NV Roberts, ... arXiv preprint arXiv:2411.04026, 2024 | 1 | 2024 |
| Studying the Impact of Latent Representations in Implicit Neural Networks for Scientific Continuous Field Reconstruction W Xu, DF DeSantis, X Luo, A Parmar, K Tan, B Nadiga, Y Ren, S Yoo arXiv preprint arXiv:2404.06418, 2024 | 1 | 2024 |
| Transfer Operator Framework for Earth System Predictability and Water Cycle Extremes AT Rupe, VV Vesselinov, BT Nadiga, DF DeSantis, M Anghel Los Alamos National Laboratory (LANL), Los Alamos, NM (United States), 2021 | 1 | 2021 |
| Coarse-grain cluster analysis of tensors with application to climate biome identification D DeSantis, PJ Wolfram, K Bennett, B Alexandrov Machine Learning: Science and Technology 1 (4), 045020, 2020 | 1 | 2020 |
| Causal Discovery in Nonlinear Dynamical Systems using Machine Learning Based on Koopman Operators D DeSantis, A Rupe, J Lu, PM Kooloth, C Bakker, C Ainslie, ... 105th AMS Annual Meeting, 2025 | | 2025 |
| Drivers and Impacts of Variability in Ocean Heat Transport Towards the Arctic in the CMIP6 Ensemble W Weijer, M Veneziani, G D'Angelo, D DeSantis, AK Jonko, S Molodtsov, ... AGU24, 2024 | | 2024 |
| Optimal control of polar sea-ice near its tipping points P Kooloth, J Lu, C Bakker, D DeSantis, A Rupe npj Climate and Atmospheric Science 7 (1), 274, 2024 | | 2024 |
| KOopman Operator Learning: A KOOL model for long term stable prediction of dynamical systems D Chakraborty, C Ainslie, D DeSantis, A Mohan, A Chattopadhyay, ... Bulletin of the American Physical Society, 2024 | | 2024 |
| Nonlocal, Pattern-aware Response and Feedback Framework for Regional Climate Change P Kooloth, J Lu, Y Huang, D DeSantis, Y Huo, F Liu, H Wang arXiv preprint arXiv:2410.22450, 2024 | | 2024 |
| Causal Discovery in Nonlinear Dynamical Systems using Koopman Operators A Rupe, D DeSantis, C Bakker, P Kooloth, J Lu arXiv preprint arXiv:2410.10103, 2024 | | 2024 |
| High-order Tensor-Train Finite Volume Method for Shallow Water Equations M Engin Danis, DP Truong, D DeSantis, M Petersen, KO Rasmussen, ... arXiv e-prints, arXiv: 2408.03483, 2024 | | 2024 |
| How optimal control of polar sea-ice depends on its tipping points P Kooloth, J Lu, C Bakker, D DeSantis, A Rupe arXiv preprint arXiv:2407.17357, 2024 | | 2024 |
| Control of an Energy Balance Model around Sea-Ice Tipping Points PM Kooloth, J Lu, CKR Bakker, D DeSantis, A Rupe AGU23, 2023 | | 2023 |