SOTAVerified

subspace methods

Papers

Showing 125 of 49 papers

TitleStatusHype
An L-BFGS-B approach for linear and nonlinear system identification under _1 and group-Lasso regularizationCode2
A DNN based Normalized Time-frequency Weighted Criterion for Robust Wideband DoA EstimationCode1
SubspaceNet: Deep Learning-Aided Subspace Methods for DoA EstimationCode1
Learning incomplete factorization preconditioners for GMRESCode1
Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse ProblemsCode1
Level set learning with pseudo-reversible neural networks for nonlinear dimension reduction in function approximationCode1
Near Field Localization via AI-Aided Subspace MethodsCode1
PLAIN: Scalable Estimation Architecture for Integrated Sensing and CommunicationCode0
Fast Matrix Square Roots with Applications to Gaussian Processes and Bayesian OptimizationCode0
Scalable Computations for Generalized Mixed Effects Models with Crossed Random Effects Using Krylov Subspace MethodsCode0
Sequential Learning of Active SubspacesCode0
BOLT: Block-Orthonormal Lanczos for Trace estimation of matrix functionsCode0
Output behavior equivalence and simultaneous subspace identification of systems and faultsCode0
Randomized Kaczmarz Methods with Beyond-Krylov ConvergenceCode0
Hybrid Bayesian Eigenobjects: Combining Linear Subspace and Deep Network Methods for 3D Robot Vision0
IFF: A Super-resolution Algorithm for Multiple Measurements0
Image processing0
Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate0
Large-scale magnetic field maps using structured kernel interpolation for Gaussian process regression0
Line Spectral Analysis Using the G-Filter: An Atomic Norm Minimization Approach0
MIMO Grid Impedance Identification of Three-Phase Power Systems: Parametric vs. Nonparametric Approaches0
Multiple Subspace Alignment Improves Domain Adaptation0
One-Bit-Aided Modulo Sampling for DOA Estimation0
On Learning Vehicle Detection in Satellite Video0
Parametric T-Spline Face Morphable Model for Detailed Fitting in Shape Subspace0
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