| Dakota, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis: version 6.13 user's … BM Adams, WJ Bohnhoff, KR Dalbey, MS Ebeida, JP Eddy, MS Eldred, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020 | 1575* | 2020 |
| Scalable tensor factorizations for incomplete data E Acar, DM Dunlavy, TG Kolda, M Mørup Chemometrics and Intelligent Laboratory Systems 106 (1), 41-56, 2011 | 859 | 2011 |
| Temporal link prediction using matrix and tensor factorizations DM Dunlavy, TG Kolda, E Acar ACM Transactions on Knowledge Discovery from Data (TKDD) 5 (2), 1-27, 2011 | 680 | 2011 |
| A scalable optimization approach for fitting canonical tensor decompositions E Acar, DM Dunlavy, TG Kolda Journal of chemometrics 25 (2), 67-86, 2011 | 374 | 2011 |
| All-at-once optimization for coupled matrix and tensor factorizations E Acar, TG Kolda, DM Dunlavy arXiv preprint arXiv:1105.3422, 2011 | 361 | 2011 |
| Link prediction on evolving data using matrix and tensor factorizations E Acar, DM Dunlavy, TG Kolda 2009 IEEE International conference on data mining workshops, 262-269, 2009 | 238 | 2009 |
| Formulations for surrogate-based optimization with data fit, multifidelity, and reduced-order models M Eldred, D Dunlavy 11th AIAA/ISSMO multidisciplinary analysis and optimization conference, 7117, 2006 | 199 | 2006 |
| QCS: A system for querying, clustering and summarizing documents DM Dunlavy, DP O’Leary, JM Conroy, JD Schlesinger Information processing & management 43 (6), 1588-1605, 2007 | 126 | 2007 |
| Poblano v1. 0: a Matlab toolbox for gradient-based optimization. DM Dunlavy, E Acar, TG Kolda Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA …, 2010 | 108 | 2010 |
| Multilinear algebra for analyzing data with multiple linkages DM Dunlavy, TG Kolda, WP Kegelmeyer Graph algorithms in the language of linear algebra, 85-114, 2011 | 104 | 2011 |
| Homotopy optimization methods for global optimization. DM Dunlavy, DP O'Leary Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA …, 2005 | 92 | 2005 |
| Advantages to modeling relational data using hypergraphs versus graphs MM Wolf, AM Klinvex, DM Dunlavy 2016 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2016 | 71 | 2016 |
| Topicview: Visually comparing topic models of text collections PJ Crossno, AT Wilson, TM Shead, DM Dunlavy 2011 ieee 23rd international conference on tools with artificial …, 2011 | 46 | 2011 |
| Matlab tensor toolbox version 3.0-dev BW Bader, TG Kolda Available online, Oct 155, 2017 | 44 | 2017 |
| A review of machine learning applications in fuzzing GJ Saavedra, KN Rodhouse, DM Dunlavy, PW Kegelmeyer arXiv preprint arXiv:1906.11133, 2019 | 42 | 2019 |
| HOPE: A homotopy optimization method for protein structure prediction DM Dunlavy, DP O'leary, D Klimov, D Thirumalai Journal of Computational Biology 12 (10), 1275-1288, 2005 | 42 | 2005 |
| An optimization approach for fitting canonical tensor decompositions E Acar, TG Kolda, DM Dunlavy Sandia National Laboratories, Tech. Rep. SAND2009-0857, 2, 2009 | 38 | 2009 |
| Structure preserving algorithms for perplectic eigenproblems D Mackey, N Mackey, D Dunlavy The Electronic Journal of Linear Algebra 13, 10-39, 2005 | 38 | 2005 |
| Tensor toolbox for MATLAB, version 3.2. 1 BW Bader, TG Kolda, DM Dunlavy Tensor Toolbox. URL: https://www. tensortoolbox. org/[accessed 2023-04-05], 2021 | 34 | 2021 |
| y Morten Mørup. Scalable tensor factorizations for incomplete data E Acar, DM Dunlavy, TG Kolda Chemometrics and Intelligent Laboratory Systems 106 (1), 41-56, 2011 | 29* | 2011 |
Tamara G. KoldaMathSci.ai (independent consulting)Verified email at mathsci.ai
