Data-Induced Interactions of Sparse Sensors Using Statistical Physics
Fuente:
arXiv
Guardado en:
| Autores principales: | Klishin, Andrei A., Kutz, J. Nathan, Manohar, Krithika |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Statistical Mechanics of Dynamical System Identification
por: Klishin, Andrei A., et al.
Publicado: (2024)
por: Klishin, Andrei A., et al.
Publicado: (2024)
Piecewise Linearity of Min-Norm Solution Map of a Nonconvexly Regularized Convex Sparse Model
por: Zhang, Yi, et al.
Publicado: (2023)
por: Zhang, Yi, et al.
Publicado: (2023)
Nonnegative Matrix Factorization in the Component-Wise L1 Norm for Sparse Data
por: Seraghiti, Giovanni, et al.
Publicado: (2026)
por: Seraghiti, Giovanni, et al.
Publicado: (2026)
Quantum Boltzmann machine learning of ground-state energies
por: Patel, Dhrumil, et al.
Publicado: (2024)
por: Patel, Dhrumil, et al.
Publicado: (2024)
Natural gradient and parameter estimation for quantum Boltzmann machines
por: Patel, Dhrumil, et al.
Publicado: (2024)
por: Patel, Dhrumil, et al.
Publicado: (2024)
Constrained free energy minimization for the design of thermal states and stabilizer thermodynamic systems
por: Minervini, Michele, et al.
Publicado: (2025)
por: Minervini, Michele, et al.
Publicado: (2025)
Iterative Regularization with k-support Norm: An Important Complement to Sparse Recovery
por: de Vazelhes, William, et al.
Publicado: (2023)
por: de Vazelhes, William, et al.
Publicado: (2023)
Computational and Statistical Guarantees for Tensor-on-Tensor Regression with Tensor Train Decomposition
por: Qin, Zhen, et al.
Publicado: (2024)
por: Qin, Zhen, et al.
Publicado: (2024)
Two-dimensional Parallel Tempering for Constrained Optimization
por: Delacour, Corentin, et al.
Publicado: (2025)
por: Delacour, Corentin, et al.
Publicado: (2025)
The Local Landscape of Phase Retrieval Under Limited Samples
por: Liu, Kaizhao, et al.
Publicado: (2023)
por: Liu, Kaizhao, et al.
Publicado: (2023)
Quickest Change Detection with Confusing Change
por: Chen, Yu-Zhen Janice, et al.
Publicado: (2024)
por: Chen, Yu-Zhen Janice, et al.
Publicado: (2024)
Sparse Network Inference under Imperfect Detection and its Application to Ecological Networks
por: Zhang, Aoran, et al.
Publicado: (2026)
por: Zhang, Aoran, et al.
Publicado: (2026)
Federated Learning Using Three-Operator ADMM
por: Kant, Shashi, et al.
Publicado: (2022)
por: Kant, Shashi, et al.
Publicado: (2022)
Distributionally-Robust Optimization with Noisy Data for Discrete Uncertainties Using Total Variation Distance
por: Farokhi, Farhad
Publicado: (2023)
por: Farokhi, Farhad
Publicado: (2023)
ConvexECG: Lightweight and Explainable Neural Networks for Personalized, Continuous Cardiac Monitoring
por: Ansari, Rayan, et al.
Publicado: (2024)
por: Ansari, Rayan, et al.
Publicado: (2024)
Generating Correlation Matrices with Graph Structures Using Convex Optimization
por: Fakhar, Ali, et al.
Publicado: (2025)
por: Fakhar, Ali, et al.
Publicado: (2025)
Quantum Neural Networks for Solving Power System Transient Simulation Problem
por: Soltaninia, Mohammadreza, et al.
Publicado: (2024)
por: Soltaninia, Mohammadreza, et al.
Publicado: (2024)
Dictionary Learning under Symmetries via Group Representations
por: Ghosh, Subhroshekhar, et al.
Publicado: (2023)
por: Ghosh, Subhroshekhar, et al.
Publicado: (2023)
The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing
por: Xu, Xingyu, et al.
Publicado: (2023)
por: Xu, Xingyu, et al.
Publicado: (2023)
Limited Communications Distributed Optimization via Deep Unfolded Distributed ADMM
por: Noah, Yoav, et al.
Publicado: (2023)
por: Noah, Yoav, et al.
Publicado: (2023)
Optimized Gradient Tracking for Decentralized Online Learning
por: Sharma, Shivangi Dubey, et al.
Publicado: (2023)
por: Sharma, Shivangi Dubey, et al.
Publicado: (2023)
Accelerated First-Order Optimization under Nonlinear Constraints
por: Muehlebach, Michael, et al.
Publicado: (2023)
por: Muehlebach, Michael, et al.
Publicado: (2023)
Sparsity-Aware Distributed Learning for Gaussian Processes with Linear Multiple Kernel
por: Suwandi, Richard Cornelius, et al.
Publicado: (2023)
por: Suwandi, Richard Cornelius, et al.
Publicado: (2023)
Efficient algorithms for the Hadamard decomposition
por: Wertz, Samuel, et al.
Publicado: (2025)
por: Wertz, Samuel, et al.
Publicado: (2025)
Nonasymptotic Convergence Rates for Plug-and-Play Methods With MMSE Denoisers
por: Pritchard, Henry, et al.
Publicado: (2025)
por: Pritchard, Henry, et al.
Publicado: (2025)
Alternating Direction Method of Multipliers for Nonlinear Matrix Decompositions
por: Awari, Atharva, et al.
Publicado: (2025)
por: Awari, Atharva, et al.
Publicado: (2025)
Robust Low-rank Tensor Train Recovery
por: Qin, Zhen, et al.
Publicado: (2024)
por: Qin, Zhen, et al.
Publicado: (2024)
Near-Optimal Solutions of Constrained Learning Problems
por: Elenter, Juan, et al.
Publicado: (2024)
por: Elenter, Juan, et al.
Publicado: (2024)
On the Benefits of Weight Normalization for Overparameterized Matrix Sensing
por: Wei, Yudong, et al.
Publicado: (2025)
por: Wei, Yudong, et al.
Publicado: (2025)
Simple Alternating Minimization Provably Solves Complete Dictionary Learning
por: Liang, Geyu, et al.
Publicado: (2022)
por: Liang, Geyu, et al.
Publicado: (2022)
On the Crucial Role of Initialization for Matrix Factorization
por: Li, Bingcong, et al.
Publicado: (2024)
por: Li, Bingcong, et al.
Publicado: (2024)
Localized Distributional Robustness in Submodular Multi-Task Subset Selection
por: Kaya, Ege C., et al.
Publicado: (2024)
por: Kaya, Ege C., et al.
Publicado: (2024)
A Recovery Theory for Diffusion Priors: Deterministic Analysis of the Implicit Prior Algorithm
por: Leong, Oscar, et al.
Publicado: (2025)
por: Leong, Oscar, et al.
Publicado: (2025)
Locality Regularized Reconstruction: Structured Sparsity and Delaunay Triangulations
por: Mueller, Marshall, et al.
Publicado: (2024)
por: Mueller, Marshall, et al.
Publicado: (2024)
Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery
por: Qin, Zhen, et al.
Publicado: (2024)
por: Qin, Zhen, et al.
Publicado: (2024)
A Scalable Factorization Approach for High-Order Structured Tensor Recovery
por: Qin, Zhen, et al.
Publicado: (2025)
por: Qin, Zhen, et al.
Publicado: (2025)
Wasserstein Distributionally Robust Risk-Sensitive Estimation via Conditional Value-at-Risk
por: Taha, Feras Al, et al.
Publicado: (2026)
por: Taha, Feras Al, et al.
Publicado: (2026)
Convolutional Proximal Neural Networks and Plug-and-Play Algorithms
por: Hertrich, Johannes, et al.
Publicado: (2020)
por: Hertrich, Johannes, et al.
Publicado: (2020)
Absence of spurious solutions far from ground truth: A low-rank analysis with high-order losses
por: Ma, Ziye, et al.
Publicado: (2024)
por: Ma, Ziye, et al.
Publicado: (2024)
Outlier-robust Autocovariance Least Square Estimation via Iteratively Reweighted Least Square
por: Li, Jiahong, et al.
Publicado: (2026)
por: Li, Jiahong, et al.
Publicado: (2026)
Ejemplares similares
-
Statistical Mechanics of Dynamical System Identification
por: Klishin, Andrei A., et al.
Publicado: (2024) -
Piecewise Linearity of Min-Norm Solution Map of a Nonconvexly Regularized Convex Sparse Model
por: Zhang, Yi, et al.
Publicado: (2023) -
Nonnegative Matrix Factorization in the Component-Wise L1 Norm for Sparse Data
por: Seraghiti, Giovanni, et al.
Publicado: (2026) -
Quantum Boltzmann machine learning of ground-state energies
por: Patel, Dhrumil, et al.
Publicado: (2024) -
Natural gradient and parameter estimation for quantum Boltzmann machines
por: Patel, Dhrumil, et al.
Publicado: (2024)