A scalable optimization approach for fitting canonical tensor decompositions von Acar, Evrim, Dunlavy, Daniel M., Kolda, Tamara G.

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Temporal Link Prediction Using Matrix and Tensor Factorizations von Dunlavy, Daniel M., Kolda, Tamara G., Acar, Evrim

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QCS: A system for querying, clustering and summarizing documents von Dunlavy, Daniel M., O’Leary, Dianne P., Conroy, John M., Schlesinger, Judith D.

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Scalable tensor factorizations for incomplete data von Acar, Evrim, Dunlavy, Daniel M., Kolda, Tamara G., Mørup, Morten

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HOPE: a homotopy optimization method for protein structure prediction von Dunlavy, Daniel M, O'Leary, Dianne P, Klimov, Dmitri, Thirumalai, D

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Link Prediction on Evolving Data Using Matrix and Tensor Factorizations von Acar, E., Dunlavy, D.M., Kolda, T.G.

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Structure preserving algorithms for perplectic eigenproblems von Mackey, Niloufer, Mackey, D. Steven, Dunlavy, Daniel M

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Computing Sparse Tensor Decompositions via Chapel and C++/MPI Interoperability without Intermediate I/O von Anderson, S. Isaac Geronimo, Dunlavy, Daniel M

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Structure preserving algorithms for perplectic eigenproblems von Mackey, Niloufer, Mackey, D. Steven, Dunlavy, Daniel M

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Tensor Decompositions for Count Data that Leverage Stochastic and Deterministic Optimization von Myers, Jeremy M, Dunlavy, Daniel M

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Temporal Link Prediction Using Matrix and Tensor Factorizations von Dunlavy, Daniel M, Kolda, Tamara G, Acar, Evrim

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The Average Spectrum Norm and Near-Optimal Tensor Completion von López, Oscar, Lehoucq, Richard, Llosa-Vite, Carlos, Prasadan, Arvind, Dunlavy, Daniel M

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Tensor Decompositions for Count Data that Leverage Stochastic and Deterministic Optimization von Myers, Jeremy M, Dunlavy, Daniel M

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Zero-Truncated Poisson Regression for Sparse Multiway Count Data Corrupted by False Zeros von López, Oscar, Dunlavy, Daniel M, Lehoucq, Richard B

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Analyzing the Performance Portability of Tensor Decomposition von Anderson, S. Isaac Geronimo, Teranishi, Keita, Dunlavy, Daniel M, Choi, Jee

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Computing Sparse Tensor Decompositions via Chapel and C++/MPI Interoperability without Intermediate I/O von Geronimo Anderson, S Isaac, Dunlavy, Daniel M

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Using Neural Architecture Search for Improving Software Flaw Detection in Multimodal Deep Learning Models von Cooper, Alexis, Zhou, Xin, Heidbrink, Scott, Dunlavy, Daniel M

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Multimodal Deep Learning for Flaw Detection in Software Programs von Heidbrink, Scott, Rodhouse, Kathryn N, Dunlavy, Daniel M

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QCS : A system for querying, clustering and summarizing documents : Text summarization von DUNLAVY, Daniel M, O'LEARY, Dianne P, CONROY, John M, SCHLESINGER, Judith D

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Parameter Sensitivity Analysis of the SparTen High Performance Sparse Tensor Decomposition Software: Extended Analysis von Myers, Jeremy M, Dunlavy, Daniel M, Teranishi, Keita, Hollman, D. S

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