Quasicyclic Principal Component Analysis
Fuente:
arXiv
Saved in:
| Main Authors: | Rumsey, Susanna E., Draper, Stark C., Kschischang, Frank R. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Variational Bayesian Inference for Tensor Robust Principal Component Analysis
by: Wang, Chao, et al.
Published: (2024)
by: Wang, Chao, et al.
Published: (2024)
Penalized Principal Component Analysis Using Smoothing
by: Hurwitz, Rebecca M., et al.
Published: (2023)
by: Hurwitz, Rebecca M., et al.
Published: (2023)
Component Fourier Neural Operator for Singularly Perturbed Differential Equations
by: Li, Ye, et al.
Published: (2024)
by: Li, Ye, et al.
Published: (2024)
Soft Demapping of Spherical Codes from Cartesian Powers of PAM Constellations
by: Borujeny, Reza Rafie, et al.
Published: (2024)
by: Borujeny, Reza Rafie, et al.
Published: (2024)
Mode-wise Principal Subspace Pursuit and Matrix Spiked Covariance Model
by: Tang, Runshi, et al.
Published: (2023)
by: Tang, Runshi, et al.
Published: (2023)
Numerical Analysis of HiPPO-LegS ODE for Deep State Space Models
by: Park, Jaesung R., et al.
Published: (2024)
by: Park, Jaesung R., et al.
Published: (2024)
Sketching Low-Rank Plus Diagonal Matrices
by: Fernandez, Andres, et al.
Published: (2025)
by: Fernandez, Andres, et al.
Published: (2025)
In-Context Learning of Linear Systems: Generalization Theory and Applications to Operator Learning
by: Cole, Frank, et al.
Published: (2024)
by: Cole, Frank, et al.
Published: (2024)
Operator Learning: Algorithms and Analysis
by: Kovachki, Nikola B., et al.
Published: (2024)
by: Kovachki, Nikola B., et al.
Published: (2024)
Spectral Analysis of the Weighted Frobenius Objective
by: Trifonov, Vladislav, et al.
Published: (2025)
by: Trifonov, Vladislav, et al.
Published: (2025)
Structure-preserving neural networks for the regularized entropy-based closure of the Boltzmann moment system
by: Schotthöfer, Steffen, et al.
Published: (2024)
by: Schotthöfer, Steffen, et al.
Published: (2024)
Numerical Error Analysis of Large Language Models
by: Budzinskiy, Stanislav, et al.
Published: (2025)
by: Budzinskiy, Stanislav, et al.
Published: (2025)
Sharp Analysis of Power Iteration for Tensor PCA
by: Wu, Yuchen, et al.
Published: (2024)
by: Wu, Yuchen, et al.
Published: (2024)
A Mathematical Analysis of Neural Operator Behaviors
by: Le, Vu-Anh, et al.
Published: (2024)
by: Le, Vu-Anh, et al.
Published: (2024)
DRM Revisited: A Complete Error Analysis
by: Jiao, Yuling, et al.
Published: (2024)
by: Jiao, Yuling, et al.
Published: (2024)
Distributional Sensitivity Analysis: Enabling Differentiability in Sample-Based Inference
by: Chuang, Pi-Yueh, et al.
Published: (2025)
by: Chuang, Pi-Yueh, et al.
Published: (2025)
A Unified Approach to Analysis and Design of Denoising Markov Models
by: Ren, Yinuo, et al.
Published: (2025)
by: Ren, Yinuo, et al.
Published: (2025)
Graph Neural Networks for Community Detection in Graph Signal Analysis
by: Cavoretto, Roberto, et al.
Published: (2026)
by: Cavoretto, Roberto, et al.
Published: (2026)
Applying Convolutional Neural Networks to Data on Unstructured Meshes with Space-Filling Curves
by: Heaney, Claire E., et al.
Published: (2020)
by: Heaney, Claire E., et al.
Published: (2020)
Beyond Derivative Pathology of PINNs: Variable Splitting Strategy with Convergence Analysis
by: Park, Yesom, et al.
Published: (2024)
by: Park, Yesom, et al.
Published: (2024)
Computational Advantages of Multi-Grade Deep Learning: Convergence Analysis and Performance Insights
by: Fang, Ronglong, et al.
Published: (2025)
by: Fang, Ronglong, et al.
Published: (2025)
Quantum Harmonic Analysis and the Structure in Data: Augmentation
by: Doerfler, Monika, et al.
Published: (2025)
by: Doerfler, Monika, et al.
Published: (2025)
Leveraging Real-Time Data Analysis and Multiple Kernel Learning for Manufacturing of Innovative Steels
by: Rannetbauer, Wolfgang, et al.
Published: (2025)
by: Rannetbauer, Wolfgang, et al.
Published: (2025)
Pruning AMR: Efficient Visualization of Implicit Neural Representations via Weight Matrix Analysis
by: Zvonek, Jennifer, et al.
Published: (2025)
by: Zvonek, Jennifer, et al.
Published: (2025)
Data-Efficient Kernel Methods for Learning Differential Equations and Their Solution Operators: Algorithms and Error Analysis
by: Jalalian, Yasamin, et al.
Published: (2025)
by: Jalalian, Yasamin, et al.
Published: (2025)
How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework
by: Ren, Yinuo, et al.
Published: (2024)
by: Ren, Yinuo, et al.
Published: (2024)
How Analysis Can Teach Us the Optimal Way to Design Neural Operators
by: Le, Vu-Anh, et al.
Published: (2024)
by: Le, Vu-Anh, et al.
Published: (2024)
Learning efficient and provably convergent splitting methods
by: Kreusser, L. M., et al.
Published: (2024)
by: Kreusser, L. M., et al.
Published: (2024)
Non-Asymptotic Stability and Consistency Guarantees for Physics-Informed Neural Networks via Coercive Operator Analysis
by: Katende, Ronald
Published: (2025)
by: Katende, Ronald
Published: (2025)
Sketching the Heat Kernel: Using Gaussian Processes to Embed Data
by: Gilbert, Anna C., et al.
Published: (2024)
by: Gilbert, Anna C., et al.
Published: (2024)
Structured and Balanced Multi-Component and Multi-Layer Neural Networks
by: Zhang, Shijun, et al.
Published: (2024)
by: Zhang, Shijun, et al.
Published: (2024)
GenUQ: Predictive Uncertainty Estimates via Generative Hyper-Networks
by: Yen, Tian Yu, et al.
Published: (2025)
by: Yen, Tian Yu, et al.
Published: (2025)
Trajectory Generator Matching for Time Series
by: Jahn, T., et al.
Published: (2025)
by: Jahn, T., et al.
Published: (2025)
Continuum Attention for Neural Operators
by: Calvello, Edoardo, et al.
Published: (2024)
by: Calvello, Edoardo, et al.
Published: (2024)
Semi-Supervised Manifold Learning with Complexity Decoupled Chart Autoencoders
by: Schonsheck, Stefan C., et al.
Published: (2022)
by: Schonsheck, Stefan C., et al.
Published: (2022)
Neural active manifolds: nonlinear dimensionality reduction for uncertainty quantification
by: Zanoni, Andrea, et al.
Published: (2024)
by: Zanoni, Andrea, et al.
Published: (2024)
A Microstructure-based Graph Neural Network for Accelerating Multiscale Simulations
by: Storm, J., et al.
Published: (2024)
by: Storm, J., et al.
Published: (2024)
Tensor Decomposition Meets RKHS: Efficient Algorithms for Smooth and Misaligned Data
by: Larsen, Brett W., et al.
Published: (2024)
by: Larsen, Brett W., et al.
Published: (2024)
Geometry-Preserving Encoder/Decoder in Latent Generative Models
by: Lee, Wonjun, et al.
Published: (2025)
by: Lee, Wonjun, et al.
Published: (2025)
DeepONet-accelerated Bayesian inversion for moving boundary problems
by: Iglesias, Marco A., et al.
Published: (2025)
by: Iglesias, Marco A., et al.
Published: (2025)
Similar Items
-
Variational Bayesian Inference for Tensor Robust Principal Component Analysis
by: Wang, Chao, et al.
Published: (2024) -
Penalized Principal Component Analysis Using Smoothing
by: Hurwitz, Rebecca M., et al.
Published: (2023) -
Component Fourier Neural Operator for Singularly Perturbed Differential Equations
by: Li, Ye, et al.
Published: (2024) -
Soft Demapping of Spherical Codes from Cartesian Powers of PAM Constellations
by: Borujeny, Reza Rafie, et al.
Published: (2024) -
Mode-wise Principal Subspace Pursuit and Matrix Spiked Covariance Model
by: Tang, Runshi, et al.
Published: (2023)