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Achieving Generalization in Scientific Machine Through Topological Structure
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Fast High-Dimensional Kronecker Tensor Operations for Sparse Grids
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Closed Form Logical Error Rate Approximations for Surface Codes
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Adaptive Sparse-Grid Discontinuous Galerkin Approximations to the Bhatnagar–Gross–Krook Model
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Exact Limits of Random Projections for Preserving Geometry: Distance Recovery, Nearest-Neighbor Rankings, and Covariance Shape in Gaussian Models
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Multifidelity Training Methods for Machine Learning
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Accelerated and Communication Efficient Federated Learning Algorithms
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Toward Consistent Data Assimilation with Structured Generative Models
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On the Choice of Optimization Norm for Anderson Acceleration of the Picard Iteration for Navier-Stokes Equations
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Computational Aspects of Radiative Transfer: Asymptotics to Uncertainty Quantification