| Subspace Representation Learning for Sparse Linear Arrays to Localize More Sources than Sensors: A Deep Learning Methodology | Aug 29, 2024 | Representation Learningsubspace methods | —Unverified | 0 |
| UNLEARN Efficient Removal of Knowledge in Large Language Models | Aug 8, 2024 | subspace methods | —Unverified | 0 |
| Gridless Parameter Estimation in Partly Calibrated Rectangular Arrays | Jun 23, 2024 | parameter estimationsubspace methods | —Unverified | 0 |
| Random Subspace Local Projections | Jun 3, 2024 | Dimensionality Reductionsubspace methods | —Unverified | 0 |
| Sparse Spatial Smoothing: Reduced Complexity and Improved Beamforming Gain via Sparse Sub-Arrays | Mar 10, 2024 | subspace methods | —Unverified | 0 |
| An L-BFGS-B approach for linear and nonlinear system identification under _1 and group-Lasso regularization | Mar 6, 2024 | State Space Modelssubspace methods | CodeCode Available | 2 |
| Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate | Jan 5, 2024 | Second-order methodssubspace methods | —Unverified | 0 |
| SCAN-MUSIC: An Efficient Super-resolution Algorithm for Single Snapshot Wide-band Line Spectral Estimation | Oct 27, 2023 | subspace methodsSuper-Resolution | —Unverified | 0 |
| Large-scale magnetic field maps using structured kernel interpolation for Gaussian process regression | Oct 25, 2023 | regressionsubspace methods | —Unverified | 0 |
| One-Bit-Aided Modulo Sampling for DOA Estimation | Sep 10, 2023 | DecoderQuantization | —Unverified | 0 |
