Daniel M. Dunlavy

According to our database, Daniel M. Dunlavy authored at least 28 papers between 2003 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Computing Sparse Tensor Decompositions via Chapel and C++/MPI Interoperability without Intermediate I/O.

S. Isaac Geronimo Anderson, Daniel M. Dunlavy

CoRR, 2023

Analyzing the Performance Portability of Tensor Decomposition.

S. Isaac Geronimo Anderson, Keita Teranishi, Daniel M. Dunlavy, Jee Choi

CoRR, 2023

2022

A Hybrid Method for Tensor Decompositions that Leverages Stochastic and Deterministic Optimization.

Jeremy M. Myers, Daniel M. Dunlavy

CoRR, 2022

Zero-Truncated Poisson Regression for Zero-Inflated Multiway Count Data.

Oscar López, Daniel M. Dunlavy, Richard B. Lehoucq

CoRR, 2022

2021

Performance Portability of an SpMV Kernel Across Scientific Computing and Data Science Applications.

Stephen L. Olivier, Nathan D. Ellingwood, Jonathan W. Berry, Daniel M. Dunlavy

Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

Using Computation Effectively for Scalable Poisson Tensor Factorization: Comparing Methods Beyond Computational Efficiency.

Jeremy M. Myers, Daniel M. Dunlavy

Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

2020

Parameter Sensitivity Analysis of the SparTen High Performance Sparse Tensor Decomposition Software: Extended Analysis.

Jeremy M. Myers, Daniel M. Dunlavy, Keita Teranishi, David S. Hollman

CoRR, 2020

Using Neural Architecture Search for Improving Software Flaw Detection in Multimodal Deep Learning Models.

Alexis Cooper, Xin Zhou, Scott Heidbrink, Daniel M. Dunlavy

CoRR, 2020

Multimodal Deep Learning for Flaw Detection in Software Programs.

Scott Heidbrink, Kathryn N. Rodhouse, Daniel M. Dunlavy

CoRR, 2020

SparTen: Leveraging Kokkos for On-node Parallelism in a Second-Order Method for Fitting Canonical Polyadic Tensor Models to Poisson Data.

Keita Teranishi, Daniel M. Dunlavy, Jeremy M. Myers, Richard F. Barrett

Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

Parameter Sensitivity Analysis of the SparTen High Performance Sparse Tensor Decomposition Software.

Jeremy M. Myers, Daniel M. Dunlavy, Keita Teranishi, David S. Hollman

Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

2019

A Review of Machine Learning Applications in Fuzzing.

Gary J. Saavedra, Kathryn N. Rodhouse, Daniel M. Dunlavy, W. Philip Kegelmeyer

CoRR, 2019

2016

Advantages to modeling relational data using hypergraphs versus graphs.

Michael M. Wolf, Alicia M. Klinvex, Daniel M. Dunlavy

Proceedings of the 2016 IEEE High Performance Extreme Computing Conference, 2016

2013

Topicview: Visual Analysis of Topic Models and their Impact on Document Clustering.

Patricia Crossno, Andrew T. Wilson, Timothy M. Shead, Warren L. Davis IV, Daniel M. Dunlavy

Int. J. Artif. Intell. Tools, 2013

2012

Using NoSQL databases for streaming network analysis.

Brian N. Wylie, Warren L. Davis IV, Danny Dunlavy, Jeffrey Baumes

Proceedings of the IEEE Symposium on Large Data Analysis and Visualization, 2012

2011

Temporal Link Prediction Using Matrix and Tensor Factorizations.

Daniel M. Dunlavy, Tamara G. Kolda, Evrim Acar

ACM Trans. Knowl. Discov. Data, 2011

All-at-once Optimization for Coupled Matrix and Tensor Factorizations

Evrim Acar, Tamara G. Kolda, Daniel M. Dunlavy

CoRR, 2011

TopicView: Visually Comparing Topic Models of Text Collections.

Patricia Crossno, Andrew T. Wilson, Timothy M. Shead, Daniel M. Dunlavy

Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

Multilinear Algebra for Analyzing Data with Multiple Linkages.

Daniel M. Dunlavy, Tamara G. Kolda, W. Philip Kegelmeyer

Proceedings of the Graph Algorithms in the Language of Linear Algebra, 2011

2010

Scalable Tensor Factorizations for Incomplete Data

Evrim Acar, Tamara G. Kolda, Daniel M. Dunlavy, Morten Mørup

CoRR, 2010

Scalable Tensor Factorizations with Missing Data.

Evrim Acar, Daniel M. Dunlavy, Tamara G. Kolda, Morten Mørup

Proceedings of the SIAM International Conference on Data Mining, 2010

ParaText: scalable text modeling and analysis.

Daniel M. Dunlavy, Timothy M. Shead, Eric T. Stanton

Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing, 2010

2009

LSAView: A tool for visual exploration of latent semantic modeling.

Patricia Crossno, Daniel M. Dunlavy, Timothy M. Shead

Proceedings of the 4th IEEE Symposium on Visual Analytics Science and Technology, 2009

Link Prediction on Evolving Data Using Matrix and Tensor Factorizations.

Evrim Acar, Daniel M. Dunlavy, Tamara G. Kolda

Proceedings of the ICDM Workshops 2009, 2009

2007

QCS: A system for querying, clustering and summarizing documents.

Daniel M. Dunlavy, Dianne P. O'Leary, John M. Conroy, Judith D. Schlesinger

Inf. Process. Manag., 2007

2005

HOPE: A Homotopy Optimization Method for Protein Structure Prediction.

Daniel M. Dunlavy, Dianne P. O'Leary, Dmitri Klimov, D. Thirumalai

J. Comput. Biol., 2005

2003

From TREC to DUC to TREC Again.

John M. Conroy, Daniel M. Dunlavy, Dianne P. O'Leary

Proceedings of The Twelfth Text REtrieval Conference, 2003

QCS: A Tool for Querying, Clustering, and Summarizing Documents.

Daniel M. Dunlavy, John M. Conroy, Dianne P. O'Leary

Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics, 2003