subspace methods

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Most implemented papers archive 2025-07-28

14 shown of 14 papers with code (49 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems
  10 Mar 2023 2 repositories listed Syntology ran 16 of 27 samples · 11 unverified · 27 pointer-only (licence)
  In this study, we propose a novel and efficient diffusion sampling strategy that synergistically combines the diffusion sampling and Krylov subspace methods.
• Level set learning with pseudo-reversible neural networks for nonlinear dimension reduction in function approximation
  2 Dec 2021 2 repositories listed
  Our method contains two major components: one is the pseudo-reversible neural network (PRNN) module that effectively transforms high-dimensional input variables to low-dimensional active variables, and the other is the…
• Output behavior equivalence and simultaneous subspace identification of systems and faults
  19 May 2025 1 repository listed
  We address the problem of identifying a system subject to additive faults, while simultaneously reconstructing the fault signal via subspace methods.
• BOLT: Block-Orthonormal Lanczos for Trace estimation of matrix functions
  18 May 2025 1 repository listed
  Efficient matrix trace estimation is essential for scalable computation of log-determinants, matrix norms, and distributional divergences.
• Scalable Computations for Generalized Mixed Effects Models with Crossed Random Effects Using Krylov Subspace Methods
  14 May 2025 1 repository listed
  Mixed effects models are widely used for modeling data with hierarchically grouped structures and high-cardinality categorical predictor variables.
• Near Field Localization via AI-Aided Subspace Methods
  1 Apr 2025 1 repository listed
  The increasing demands for high-throughput and energy-efficient wireless communications are driving the adoption of extremely large antennas operating at high-frequency bands.
• PLAIN: Scalable Estimation Architecture for Integrated Sensing and Communication
  27 Mar 2025 1 repository listed
  In this work, we propose PLAIN, a tensor-based estimation architecture that flexibly scales with multiple sensing dimensions and can handle high dimensionality, limited measurement time, and super-resolution…
• Randomized Kaczmarz Methods with Beyond-Krylov Convergence
  20 Jan 2025 1 repository listed Syntology ran 0 of 10 samples · 10 unverified
  In this paper, we introduce Kaczmarz++, an accelerated randomized block Kaczmarz algorithm that exploits outlying singular values in the input to attain a fast Krylov-style convergence.
• Learning incomplete factorization preconditioners for GMRES
  12 Sep 2024 1 repository listed
  Incomplete LU factorizations of sparse matrices are widely used as preconditioners in Krylov subspace methods to speed up solving linear systems.
• An L-BFGS-B approach for linear and nonlinear system identification under ℓ₁ and group-Lasso regularization
  6 Mar 2024 1 repository listed
  In this paper, we propose a very efficient numerical method based on the L-BFGS-B algorithm for identifying linear and nonlinear discrete-time state-space models, possibly under ℓ₁ and group-Lasso regularization for…
• SubspaceNet: Deep Learning-Aided Subspace Methods for DoA Estimation
  4 Jun 2023 1 repository listed
  Direction of arrival (DoA) estimation is a fundamental task in array processing.
• A DNN based Normalized Time-frequency Weighted Criterion for Robust Wideband DoA Estimation
  20 Feb 2023 1 repository listed
  However, the best-performing design of T-F weights is criterion-dependent in general.
• Fast Matrix Square Roots with Applications to Gaussian Processes and Bayesian Optimization
  19 Jun 2020 1 repository listed Syntology ran 0 of 15 samples · 15 unverified
  Matrix square roots and their inverses arise frequently in machine learning, e.
• Sequential Learning of Active Subspaces
  26 Jul 2019 1 repository listed Syntology ran 0 of 6 samples · 6 unverified
  In such cases, often a surrogate model is employed, on which finite differencing is performed.

Syntology lines on 4 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.