Daniel Dunlavy

Sandia National Laboratories — United States

Mathematics · Physical Sciences

21h-index2.4kcitations131works0.12yr avg
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Research Topics

Tensor decomposition and applications(49), Computational Physics and Python Applications(24), Parallel Computing and Optimization Techniques(19), Topic Modeling(12), Algorithms and Data Compression(10)

Publications131 total

Near-Efficient and Non-Asymptotic Multiway Inference
2025Open Access
A Latent-Variable Formulation of the Poisson Canonical Polyadic Tensor Model: Maximum Likelihood Estimation and Fisher Information
2025Open Access
Improving Runtime Performance of Tensor Computations using Rust From Python
arXiv (Cornell University)·2025Open Access
Improving Runtime Performance of Tensor Computations using Rust From Python
2025Open Access
Probabilistic Error Bounds for Low-Rank Tensor Decompositions Used in Large-Scale Data Analysis Applications (LDRD Final Report)
2025Open Access
In Situ Data Analysis Through Physics-informed Tensor Decompositions (LDRD Final Report)
2025Open Access
The Poisson tensor completion non-parametric differential entropy estimator
arXiv (Cornell University)·2025Open Access
The Poisson tensor completion non-parametric differential entropy estimator
2025
Tensor-based Multivariate Data Fusion and Completion
2024Open Access
Constrained Tensor Decompositions for Low-Rank Modeling of Multiphysics Simulation Data
2024Open Access
Tensor decompositions for count data that leverage stochastic and deterministic optimization
Optimization methods & software·2024· 1 cited
Probabilistic Guarantees for Low-Rank Tensor Decompositions
2024Open Access
Computing Sparse Tensor Decompositions via Chapel and C++/MPI Interoperability without Intermediate I/O
2024Open Access
The Poisson Canonical Polyadic Tensor Model as a Latent-Variable Model
2024Open Access
The Average Spectrum Norm and Near-Optimal Tensor Completion
arXiv (Cornell University)·2024Open Access
The Average Spectrum Norm and Near-Optimal Tensor Completion
2024Open Access
Computing Sparse Tensor Decompositions via Chapel and C++/MPI Interoperability without Intermediate I/O
arXiv (Cornell University)·2023Open Access
Recent Improvements in CP Poisson Tensor Algorithms
2023Open Access
Tensor Decompositions for Count Data that Leverage Stochastic and Deterministic Optimization
2023Open Access
Constrained Tucker Decompositions and Conservation Principles for Direct Numerical Simulation Data Compression
2023Open Access
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Frequent Co-authors

Tamara G. Kolda(14), Timothy M. Shead(8), Evrim Acar(7), Dianne P. O’Leary(6), John M. Conroy(5), Michael Eldred(4), Patricia J. Crossno(4), Jeremy M. Myers(4), Warren Davis(4), Judith D. Schlesinger(3), W. Philip Kegelmeyer(3), Andrew T. Wilson(3), Kathryn Rodhouse(3), Joshua Griffin(3), Monica Martinez-Canales(3), Jean‐Paul Watson(3), Laura Swiler(3), Pamela Williams(3), Patricia Hough(3), David M. Gay(3)