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Results for “sparse”
Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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Hierarchical Low-rank Solvers for Large Sparse Linear Systems.
Abstract not provided.
Sparse coding algorithm on a quantum annealer for arbitrarily large problems [Slides]
Abstract not provided.
Nonlinear sparse Bayesian learning using EnKF based state estimator.
Abstract not provided.
AirNet-SNL: End-To-End Training of Iterative Reconstruction and Deep Neural Network Regularization for Sparse-Data XPCI CT.
Abstract not provided.
Performance-Portable Sparse Tensor Decomposition Kernels on Emerging Parallel Architectures.
Abstract not provided.
Sparse Coding for Depth Completion on Autonomous Vehicles [Slides]
Abstract not provided.
Sparse Data Machine Learning Integration with Theory, Experiment and Uncertainty Quantification: Process-Structure-Property-Performance of Friction Deformation Processing
Computer vision and deep learning tools that advance the ability to establish processing-structure-property-performance (PSPP) relations are presented. The Bayesian binning method for image segmentation enables quantitative analysis of microstructural features in an automated way, while the analysis of shapes and relative orientation of these features reveals local deformation maps indicative of both, material flow and residual stresses due to materials processing. The deep learning method leads to the previous knowledge agnostic mapping of empirically observed microstructural zones in friction stir welding (FSW) process and synthetic microstructure generation capability that is statistically equivalent to experimentally collected data.
Performance portable batched sparse linear solvers in Kokkos kernels.
Abstract not provided.
Reconstruction of sparse, nanoscale metrology data for efficient process control.
Abstract not provided.
Physics-constrained Bayesian inference of an uncertain operator in the sparse-data regime.
Abstract not provided.
Probabilistic Approaches to Transfer Learning for Sparse and Noisy Data Environments.
Abstract not provided.
Sparse Time Series Sampling for Recovery of Behind-the-Meter Inverter Control Models.
Abstract not provided.
Sparse-view tomographic reconstruction of MagLIF emission volumes using learned basis functions.
Abstract not provided.
Performance portable batched sparse linear solvers in Kokkos Kernels.
Abstract not provided.