Daniel M. Dunlavy

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 13

Top Topics

Tensor Decomposition

Sensitivity Analysis

Top Venues

Int. J. Artif. Intell. Tools

Publications

S. Isaac Geronimo Anderson, Keita Teranishi, Daniel M. Dunlavy, Jee Choi
Analyzing the Performance Portability of Tensor Decomposition. CoRR (2023)
S. Isaac Geronimo Anderson, Daniel M. Dunlavy
Computing Sparse Tensor Decompositions via Chapel and C++/MPI Interoperability without Intermediate I/O. CoRR (2023)
Jeremy M. Myers, Daniel M. Dunlavy
A Hybrid Method for Tensor Decompositions that Leverages Stochastic and Deterministic Optimization. CoRR (2022)
Oscar López, Daniel M. Dunlavy, Richard B. Lehoucq
Zero-Truncated Poisson Regression for Zero-Inflated Multiway Count Data. CoRR (2022)
Jeremy M. Myers, Daniel M. Dunlavy
Using Computation Effectively for Scalable Poisson Tensor Factorization: Comparing Methods Beyond Computational Efficiency. HPEC (2021)
Stephen L. Olivier, Nathan D. Ellingwood, Jonathan W. Berry, Daniel M. Dunlavy
Performance Portability of an SpMV Kernel Across Scientific Computing and Data Science Applications. HPEC (2021)
Jeremy M. Myers, Daniel M. Dunlavy, Keita Teranishi, David S. Hollman
Parameter Sensitivity Analysis of the SparTen High Performance Sparse Tensor Decomposition Software. HPEC (2020)
Scott Heidbrink, Kathryn N. Rodhouse, Daniel M. Dunlavy
Multimodal Deep Learning for Flaw Detection in Software Programs. CoRR (2020)
Alexis Cooper, Xin Zhou, Scott Heidbrink, Daniel M. Dunlavy
Using Neural Architecture Search for Improving Software Flaw Detection in Multimodal Deep Learning Models. CoRR (2020)
Jeremy M. Myers, Daniel M. Dunlavy, Keita Teranishi, David S. Hollman
Parameter Sensitivity Analysis of the SparTen High Performance Sparse Tensor Decomposition Software: Extended Analysis. CoRR (2020)
Keita Teranishi, Daniel M. Dunlavy, Jeremy M. Myers, Richard F. Barrett
SparTen: Leveraging Kokkos for On-node Parallelism in a Second-Order Method for Fitting Canonical Polyadic Tensor Models to Poisson Data. HPEC (2020)
Gary J. Saavedra, Kathryn N. Rodhouse, Daniel M. Dunlavy, W. Philip Kegelmeyer
A Review of Machine Learning Applications in Fuzzing. CoRR (2019)
Michael M. Wolf, Alicia M. Klinvex, Daniel M. Dunlavy
Advantages to modeling relational data using hypergraphs versus graphs. HPEC (2016)
Patricia Crossno, Andrew T. Wilson, Timothy M. Shead, Warren L. Davis IV, Daniel M. Dunlavy
Topicview: Visual Analysis of Topic Models and their Impact on Document Clustering. Int. J. Artif. Intell. Tools 22 (5) (2013)
Daniel M. Dunlavy, Tamara G. Kolda, Evrim Acar
Temporal Link Prediction Using Matrix and Tensor Factorizations. ACM Trans. Knowl. Discov. Data 5 (2) (2011)
Patricia Crossno, Andrew T. Wilson, Timothy M. Shead, Daniel M. Dunlavy
TopicView: Visually Comparing Topic Models of Text Collections. ICTAI (2011)
Evrim Acar, Tamara G. Kolda, Daniel M. Dunlavy
All-at-once Optimization for Coupled Matrix and Tensor Factorizations CoRR (2011)
Evrim Acar, Tamara G. Kolda, Daniel M. Dunlavy, Morten Mørup
Scalable Tensor Factorizations for Incomplete Data CoRR (2010)
Evrim Acar, Daniel M. Dunlavy, Tamara G. Kolda, Morten Mørup
Scalable Tensor Factorizations with Missing Data. SDM (2010)
Daniel M. Dunlavy, Timothy M. Shead, Eric T. Stanton
ParaText: scalable text modeling and analysis. HPDC (2010)
Daniel M. Dunlavy, Tamara G. Kolda, Evrim Acar
Temporal Link Prediction using Matrix and Tensor Factorizations CoRR (2010)
Patricia Crossno, Daniel M. Dunlavy, Timothy M. Shead
LSAView: A tool for visual exploration of latent semantic modeling. IEEE VAST (2009)
Evrim Acar, Daniel M. Dunlavy, Tamara G. Kolda
Link Prediction on Evolving Data Using Matrix and Tensor Factorizations. ICDM Workshops (2009)
Daniel M. Dunlavy, Dianne P. O'Leary, John M. Conroy, Judith D. Schlesinger
QCS: A system for querying, clustering and summarizing documents. Inf. Process. Manag. 43 (6) (2007)
Daniel M. Dunlavy, Dianne P. O'Leary, Dmitri Klimov, D. Thirumalai
HOPE: A Homotopy Optimization Method for Protein Structure Prediction. J. Comput. Biol. 12 (10) (2005)
John M. Conroy, Daniel M. Dunlavy, Dianne P. O'Leary
From TREC to DUC to TREC Again. TREC (2003)
Daniel M. Dunlavy, John M. Conroy, Dianne P. O'Leary
QCS: A Tool for Querying, Clustering, and Summarizing Documents. HLT-NAACL (2003)