Daniel M. Dunlavy

33 papers A 2B 1Journal 20Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Latent-Variable Formulation of the Poisson Canonical Polyadic Tensor Model: Maximum Likelihood Estimation and Fisher Information. CoRR Carlos Llosa-Vite, Daniel M. Dunlavy, Richard B. Lehoucq, Oscar López, Arvind Prasadan
2025	J	`jnl`	Goal-Oriented Low-Rank Tensor Decompositions for Numerical Simulation Data. CoRR Daniel M. Dunlavy, Eric T. Phipps, Hemanth Kolla, John N. Shadid, Edward G. Phillips
2025	J	`jnl`	Improving Runtime Performance of Tensor Computations using Rust From Python. CoRR Kimmie Harding, Daniel M. Dunlavy
2025	J	`jnl`	Near-Efficient and Non-Asymptotic Multiway Inference. CoRR Oscar López, Arvind Prasadan, Carlos Llosa-Vite, Richard B. Lehoucq, Daniel M. Dunlavy
2025	J	`jnl`	Tensor decompositions for count data that leverage stochastic and deterministic optimization. Optim. Methods Softw. Jeremy M. Myers, Daniel M. Dunlavy
2023	J	`jnl`	Analyzing the Performance Portability of Tensor Decomposition. CoRR S. Isaac Geronimo Anderson, Keita Teranishi, Daniel M. Dunlavy, Jee Choi
2023	J	`jnl`	Computing Sparse Tensor Decompositions via Chapel and C++/MPI Interoperability without Intermediate I/O. CoRR S. Isaac Geronimo Anderson, Daniel M. Dunlavy
2022	J	`jnl`	A Hybrid Method for Tensor Decompositions that Leverages Stochastic and Deterministic Optimization. CoRR Jeremy M. Myers, Daniel M. Dunlavy
2022	J	`jnl`	Zero-Truncated Poisson Regression for Zero-Inflated Multiway Count Data. CoRR Oscar López, Daniel M. Dunlavy, Richard B. Lehoucq
2021	—	`conf`	Performance Portability of an SpMV Kernel Across Scientific Computing and Data Science Applications. HPEC Stephen L. Olivier, Nathan D. Ellingwood, Jonathan W. Berry, Daniel M. Dunlavy
2021	—	`conf`	Using Computation Effectively for Scalable Poisson Tensor Factorization: Comparing Methods Beyond Computational Efficiency. HPEC Jeremy M. Myers, Daniel M. Dunlavy
2020	J	`jnl`	Multimodal Deep Learning for Flaw Detection in Software Programs. CoRR Scott Heidbrink, Kathryn N. Rodhouse, Daniel M. Dunlavy
2020	—	`conf`	Parameter Sensitivity Analysis of the SparTen High Performance Sparse Tensor Decomposition Software. HPEC Jeremy M. Myers, Daniel M. Dunlavy, Keita Teranishi, David S. Hollman
2020	J	`jnl`	Parameter Sensitivity Analysis of the SparTen High Performance Sparse Tensor Decomposition Software: Extended Analysis. CoRR Jeremy M. Myers, Daniel M. Dunlavy, Keita Teranishi, David S. Hollman
2020	—	`conf`	SparTen: Leveraging Kokkos for On-node Parallelism in a Second-Order Method for Fitting Canonical Polyadic Tensor Models to Poisson Data. HPEC Keita Teranishi, Daniel M. Dunlavy, Jeremy M. Myers, Richard F. Barrett
2020	J	`jnl`	Using Neural Architecture Search for Improving Software Flaw Detection in Multimodal Deep Learning Models. CoRR Alexis Cooper, Xin Zhou, Scott Heidbrink, Daniel M. Dunlavy
2019	J	`jnl`	A Review of Machine Learning Applications in Fuzzing. CoRR Gary J. Saavedra, Kathryn N. Rodhouse, Daniel M. Dunlavy, W. Philip Kegelmeyer
2016	—	`conf`	Advantages to modeling relational data using hypergraphs versus graphs. HPEC Michael M. Wolf, Alicia M. Klinvex, Daniel M. Dunlavy
2013	J	`jnl`	Topicview: Visual Analysis of Topic Models and their Impact on Document Clustering. Int. J. Artif. Intell. Tools Patricia Crossno, Andrew T. Wilson, Timothy M. Shead, Warren L. Davis IV, Daniel M. Dunlavy
2011	J	`jnl`	All-at-once Optimization for Coupled Matrix and Tensor Factorizations CoRR Evrim Acar, Tamara G. Kolda, Daniel M. Dunlavy
2011	—	`ch.`	Multilinear Algebra for Analyzing Data with Multiple Linkages. Graph Algorithms in the Language of Linear Algebra Daniel M. Dunlavy, Tamara G. Kolda, W. Philip Kegelmeyer
2011	J	`jnl`	Temporal Link Prediction Using Matrix and Tensor Factorizations. ACM Trans. Knowl. Discov. Data Daniel M. Dunlavy, Tamara G. Kolda, Evrim Acar
2011	B	`conf`	TopicView: Visually Comparing Topic Models of Text Collections. ICTAI Patricia Crossno, Andrew T. Wilson, Timothy M. Shead, Daniel M. Dunlavy
2010	A	`conf`	ParaText: scalable text modeling and analysis. HPDC Daniel M. Dunlavy, Timothy M. Shead, Eric T. Stanton
2010	J	`jnl`	Scalable Tensor Factorizations for Incomplete Data CoRR Evrim Acar, Tamara G. Kolda, Daniel M. Dunlavy, Morten Mørup
2010	A	`conf`	Scalable Tensor Factorizations with Missing Data. SDM Evrim Acar, Daniel M. Dunlavy, Tamara G. Kolda, Morten Mørup
2010	J	`jnl`	Temporal Link Prediction using Matrix and Tensor Factorizations CoRR Daniel M. Dunlavy, Tamara G. Kolda, Evrim Acar
2009	—	`conf`	LSAView: A tool for visual exploration of latent semantic modeling. IEEE VAST Patricia Crossno, Daniel M. Dunlavy, Timothy M. Shead
2009	—	`conf`	Link Prediction on Evolving Data Using Matrix and Tensor Factorizations. ICDM Workshops Evrim Acar, Daniel M. Dunlavy, Tamara G. Kolda
2007	J	`jnl`	QCS: A system for querying, clustering and summarizing documents. Inf. Process. Manag. Daniel M. Dunlavy, Dianne P. O'Leary, John M. Conroy, Judith D. Schlesinger
2005	J	`jnl`	HOPE: A Homotopy Optimization Method for Protein Structure Prediction. J. Comput. Biol. Daniel M. Dunlavy, Dianne P. O'Leary, Dmitri Klimov, D. Thirumalai
2003	—	`conf`	From TREC to DUC to TREC Again. TREC John M. Conroy, Daniel M. Dunlavy, Dianne P. O'Leary
2003	—	`conf`	QCS: A Tool for Querying, Clustering, and Summarizing Documents. HLT-NAACL Daniel M. Dunlavy, John M. Conroy, Dianne P. O'Leary