Stochastic diagonal estimation with adaptive parameter selection
Fuente:
arXiv
Saved in:
| Main Authors: | Han, Zongyuan, Li, Wenhao, Zhu, Shengxin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
When Lanczos Iterations Generate Symmetric Quadrature Nodes?
by: Li, Wenhao, et al.
Published: (2024)
by: Li, Wenhao, et al.
Published: (2024)
On Symmetric Lanczos Quadrature for Stochastic Trace Estimation
by: Li, Wenhao, et al.
Published: (2025)
by: Li, Wenhao, et al.
Published: (2025)
Geometrical structures of digital fluctuations in parameter space of neural networks trained with adaptive momentum optimization
by: Netay, Igor V.
Published: (2024)
by: Netay, Igor V.
Published: (2024)
A Generative Sampler for distributions with possible discrete parameter based on Reversibility
by: Li, Lei, et al.
Published: (2026)
by: Li, Lei, et al.
Published: (2026)
Diffeomorphism Neural Operator for various domains and parameters of partial differential equations
by: Zhao, Zhiwei, et al.
Published: (2024)
by: Zhao, Zhiwei, et al.
Published: (2024)
Deep adaptive sampling for surrogate modeling without labeled data
by: Wang, Xili, et al.
Published: (2024)
by: Wang, Xili, et al.
Published: (2024)
Streaming Krylov-Accelerated Stochastic Gradient Descent
by: Thomas, Stephen
Published: (2025)
by: Thomas, Stephen
Published: (2025)
Stochastic Rounding Increases Small Singular Values
by: Ma, Linkai, et al.
Published: (2026)
by: Ma, Linkai, et al.
Published: (2026)
Learning Stochastic Dynamical Systems with Structured Noise
by: Guo, Ziheng, et al.
Published: (2025)
by: Guo, Ziheng, et al.
Published: (2025)
Leveraging time and parameters for nonlinear model reduction methods
by: Glas, Silke, et al.
Published: (2025)
by: Glas, Silke, et al.
Published: (2025)
Patch-based learning of adaptive Total Variation parameter maps for blind image denoising
by: Fantasia, Claudio, et al.
Published: (2025)
by: Fantasia, Claudio, et al.
Published: (2025)
A fast neural hybrid Newton solver adapted to implicit methods for nonlinear dynamics
by: Jin, Tianyu, et al.
Published: (2024)
by: Jin, Tianyu, et al.
Published: (2024)
Low-rank adaptive physics-informed HyperDeepONets for solving differential equations
by: Zeudong, Etienne, et al.
Published: (2025)
by: Zeudong, Etienne, et al.
Published: (2025)
Neural Network Approach to Stochastic Dynamics for Smooth Multimodal Density Estimation
by: Zarezadeh, Z., et al.
Published: (2025)
by: Zarezadeh, Z., et al.
Published: (2025)
Training with Fewer Bits: Unlocking Edge LLMs Training with Stochastic Rounding
by: Liu, Taowen, et al.
Published: (2025)
by: Liu, Taowen, et al.
Published: (2025)
Stochastic generative methods for stable and accurate closure modeling of chaotic dynamical systems
by: Williams, Emily, et al.
Published: (2025)
by: Williams, Emily, et al.
Published: (2025)
DPG loss functions for learning parameter-to-solution maps by neural networks
by: Castillo, Pablo Cortés, et al.
Published: (2025)
by: Castillo, Pablo Cortés, et al.
Published: (2025)
A local approach to parameter space reduction for regression and classification tasks
by: Romor, Francesco, et al.
Published: (2021)
by: Romor, Francesco, et al.
Published: (2021)
Fixed-budget online adaptive learning for physics-informed neural networks. Towards parameterized problem inference
by: Nguyen, Thi Nguyen Khoa, et al.
Published: (2022)
by: Nguyen, Thi Nguyen Khoa, et al.
Published: (2022)
Modified Equations for Stochastic Optimization
by: Perko, Stefan
Published: (2025)
by: Perko, Stefan
Published: (2025)
Convergence of Stochastic Gradient Methods for Wide Two-Layer Physics-Informed Neural Networks
by: Jin, Bangti, et al.
Published: (2025)
by: Jin, Bangti, et al.
Published: (2025)
An Enhanced Zeroth-Order Stochastic Frank-Wolfe Framework for Constrained Finite-Sum Optimization
by: Ye, Haishan, et al.
Published: (2025)
by: Ye, Haishan, et al.
Published: (2025)
Stochastic Dimension Implicit Functional Projections for Exact Integral Conservation in High-Dimensional PINNs
by: Liang, Zhangyong
Published: (2026)
by: Liang, Zhangyong
Published: (2026)
Training-free score-based diffusion for parameter-dependent stochastic dynamical systems
by: Yang, Minglei, et al.
Published: (2026)
by: Yang, Minglei, et al.
Published: (2026)
Stochastic Fractional Neural Operators: A Symmetrized Approach to Modeling Turbulence in Complex Fluid Dynamics
by: Santos, Rômulo Damasclin Chaves dos, et al.
Published: (2025)
by: Santos, Rômulo Damasclin Chaves dos, et al.
Published: (2025)
CoLoRA: Continuous low-rank adaptation for reduced implicit neural modeling of parameterized partial differential equations
by: Berman, Jules, et al.
Published: (2024)
by: Berman, Jules, et al.
Published: (2024)
Physics-Informed DeepONets for drift-diffusion on metric graphs: simulation and parameter identification
by: Blechschmidt, Jan, et al.
Published: (2025)
by: Blechschmidt, Jan, et al.
Published: (2025)
Coupling the reduced-order model and the generative model for an importance sampling estimator
by: Wan, Xiaoliang, et al.
Published: (2019)
by: Wan, Xiaoliang, et al.
Published: (2019)
Certified machine learning: A posteriori error estimation for physics-informed neural networks
by: Hillebrecht, Birgit, et al.
Published: (2022)
by: Hillebrecht, Birgit, et al.
Published: (2022)
Variational Markov chain mixtures with automatic component selection
by: Miles, Christopher E., et al.
Published: (2024)
by: Miles, Christopher E., et al.
Published: (2024)
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)
Stochastic Optimal Control Matching
by: Domingo-Enrich, Carles, et al.
Published: (2023)
by: Domingo-Enrich, Carles, et al.
Published: (2023)
Variationally correct operator learning: Reduced basis neural operator with a posteriori error estimation
by: Qiu, Yuan, et al.
Published: (2025)
by: Qiu, Yuan, et al.
Published: (2025)
Unified Stochastic Framework for Neural Network Quantization and Pruning
by: Zhang, Haoyu, et al.
Published: (2024)
by: Zhang, Haoyu, et al.
Published: (2024)
PINNs error estimates for nonlinear equations in $\mathbb{R}$-smooth Banach spaces
by: Gao, Jiexing, et al.
Published: (2023)
by: Gao, Jiexing, et al.
Published: (2023)
Matrix Completion with Cross-Concentrated Sampling: Bridging Uniform Sampling and CUR Sampling
by: Cai, HanQin, et al.
Published: (2022)
by: Cai, HanQin, et al.
Published: (2022)
Sampling via Stochastic Interpolants by Langevin-based Velocity and Initialization Estimation in Flow ODEs
by: Duan, Chenguang, et al.
Published: (2026)
by: Duan, Chenguang, et al.
Published: (2026)
Estimation of instrument and noise parameters for inverse problem based on prior diffusion model
by: Giovannelli, Jean-François
Published: (2026)
by: Giovannelli, Jean-François
Published: (2026)
ZNO: Stable Rational Neural Operators in the Z-Domain for Discrete-Time Dynamics
by: Zhu, Xianli, et al.
Published: (2026)
by: Zhu, Xianli, et al.
Published: (2026)
Holistic Physics Solver: Learning PDEs in a Unified Spectral-Physical Space
by: Yue, Xihang, et al.
Published: (2024)
by: Yue, Xihang, et al.
Published: (2024)
Similar Items
-
When Lanczos Iterations Generate Symmetric Quadrature Nodes?
by: Li, Wenhao, et al.
Published: (2024) -
On Symmetric Lanczos Quadrature for Stochastic Trace Estimation
by: Li, Wenhao, et al.
Published: (2025) -
Geometrical structures of digital fluctuations in parameter space of neural networks trained with adaptive momentum optimization
by: Netay, Igor V.
Published: (2024) -
A Generative Sampler for distributions with possible discrete parameter based on Reversibility
by: Li, Lei, et al.
Published: (2026) -
Diffeomorphism Neural Operator for various domains and parameters of partial differential equations
by: Zhao, Zhiwei, et al.
Published: (2024)