Saved in:
| Main Authors: | Liang, Zhangyong, Gao, Huanhuan, Zhang, Ji |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.06463 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Stochastic Dimension-Free Zeroth-Order Estimator for High-Dimensional and High-Order PINNs
by: Liang, Zhangyong, et al.
Published: (2026)
by: Liang, Zhangyong, et al.
Published: (2026)
Categorical Optimization with Bayesian Anchored Latent Trust Regions for Structural Design under High-Dimensional Uncertainty
by: Liang, Zhangyong, et al.
Published: (2026)
by: Liang, Zhangyong, et al.
Published: (2026)
Constitutive parameterized deep energy method for solid mechanics problems with random material parameters
by: Liang, Zhangyong, et al.
Published: (2026)
by: Liang, Zhangyong, et al.
Published: (2026)
Neural Dynamic Data Valuation: A Stochastic Optimal Control Approach
by: Liang, Zhangyong, et al.
Published: (2024)
by: Liang, Zhangyong, et al.
Published: (2024)
Manifold-Orthogonal Dual-spectrum Extrapolation for Parameterized Physics-Informed Neural Networks
by: Liang, Zhangyong, et al.
Published: (2026)
by: Liang, Zhangyong, et al.
Published: (2026)
Hybrid Iterative Neural Low-Regularity Integrator for Nonlinear Dispersive Equations
by: Liang, Zhangyong
Published: (2026)
by: Liang, Zhangyong
Published: (2026)
Disentangled Latent Dynamics Manifold Fusion for Solving Parameterized PDEs
by: Liang, Zhangyong
Published: (2026)
by: Liang, Zhangyong
Published: (2026)
Stochastic-Dimension Frozen Sampled Neural Network for High-Dimensional Gross-Pitaevskii Equations on Unbounded Domains
by: Liang, Zhangyong
Published: (2026)
by: Liang, Zhangyong
Published: (2026)
Conflict-Aware Harmonized Rotational Gradient for Multiscale Kinetic Regimes
by: Liang, Zhangyong
Published: (2026)
by: Liang, Zhangyong
Published: (2026)
Stochastic Dimension Implicit Functional Projections for Exact Integral Conservation in High-Dimensional PINNs
by: Liang, Zhangyong
Published: (2026)
by: Liang, Zhangyong
Published: (2026)
Layer-Aware Influence for Online Data Valuation Estimation
by: Yang, Ziao, et al.
Published: (2025)
by: Yang, Ziao, et al.
Published: (2025)
Data Distribution Valuation
by: Xu, Xinyi, et al.
Published: (2024)
by: Xu, Xinyi, et al.
Published: (2024)
Lightweight and Robust Federated Data Valuation
by: Tang, Guojun, et al.
Published: (2025)
by: Tang, Guojun, et al.
Published: (2025)
Is Data Valuation Learnable and Interpretable?
by: Wu, Ou, et al.
Published: (2024)
by: Wu, Ou, et al.
Published: (2024)
Data Valuation and Detections in Federated Learning
by: Li, Wenqian, et al.
Published: (2023)
by: Li, Wenqian, et al.
Published: (2023)
Data Valuation with Gradient Similarity
by: Evans, Nathaniel J., et al.
Published: (2024)
by: Evans, Nathaniel J., et al.
Published: (2024)
On the Usage of Gaussian Process for Efficient Data Valuation
by: Bénesse, Clément, et al.
Published: (2025)
by: Bénesse, Clément, et al.
Published: (2025)
KAIROS: Scalable Model-Agnostic Data Valuation
by: Zhu, Jiongli, et al.
Published: (2025)
by: Zhu, Jiongli, et al.
Published: (2025)
SAVA: Scalable Learning-Agnostic Data Valuation
by: Kessler, Samuel, et al.
Published: (2024)
by: Kessler, Samuel, et al.
Published: (2024)
Fast-DataShapley: Neural Modeling for Training Data Valuation
by: Sun, Haifeng, et al.
Published: (2025)
by: Sun, Haifeng, et al.
Published: (2025)
LossVal: Efficient Data Valuation for Neural Networks
by: Wibiral, Tim, et al.
Published: (2024)
by: Wibiral, Tim, et al.
Published: (2024)
Data Distribution Valuation Using Generalized Bayesian Inference
by: Nguyen, Cuong N., et al.
Published: (2026)
by: Nguyen, Cuong N., et al.
Published: (2026)
Sketching the Readout of Large Language Models for Scalable Data Attribution and Valuation
by: Ran, Yide, et al.
Published: (2026)
by: Ran, Yide, et al.
Published: (2026)
Challenges in Enabling Private Data Valuation
by: Fu, Yiwei, et al.
Published: (2026)
by: Fu, Yiwei, et al.
Published: (2026)
Beyond Models! Explainable Data Valuation and Metric Adaption for Recommendation
by: Jia, Renqi, et al.
Published: (2025)
by: Jia, Renqi, et al.
Published: (2025)
Precedence-Constrained Winter Value for Effective Graph Data Valuation
by: Chi, Hongliang, et al.
Published: (2024)
by: Chi, Hongliang, et al.
Published: (2024)
EcoVal: An Efficient Data Valuation Framework for Machine Learning
by: Tarun, Ayush K, et al.
Published: (2024)
by: Tarun, Ayush K, et al.
Published: (2024)
DUPRE: Data Utility Prediction for Efficient Data Valuation
by: Pham, Kieu Thao Nguyen, et al.
Published: (2025)
by: Pham, Kieu Thao Nguyen, et al.
Published: (2025)
Do Data Valuations Make Good Data Prices?
by: Fan, Dongyang, et al.
Published: (2025)
by: Fan, Dongyang, et al.
Published: (2025)
Towards Data Valuation via Asymmetric Data Shapley
by: Zheng, Xi, et al.
Published: (2024)
by: Zheng, Xi, et al.
Published: (2024)
Data Valuation and Selection in a Federated Model Marketplace
by: Li, Wenqian, et al.
Published: (2025)
by: Li, Wenqian, et al.
Published: (2025)
Losing is for Cherishing: Data Valuation Based on Machine Unlearning and Shapley Value
by: Ma, Le, et al.
Published: (2025)
by: Ma, Le, et al.
Published: (2025)
Efficient Banzhaf-Based Data Valuation for $k$-Nearest Neighbors Classification
by: Zhang, Guangyi, et al.
Published: (2026)
by: Zhang, Guangyi, et al.
Published: (2026)
Convergence Analysis of Federated Learning Methods Using Backward Error Analysis
by: Lim, Jinwoo, et al.
Published: (2025)
by: Lim, Jinwoo, et al.
Published: (2025)
Convergence Analysis of Stochastic Gradient Descent with MCMC Estimators
by: Li, Tianyou, et al.
Published: (2023)
by: Li, Tianyou, et al.
Published: (2023)
Data Overvaluation Attack and Truthful Data Valuation in Federated Learning
by: Zheng, Shuyuan, et al.
Published: (2025)
by: Zheng, Shuyuan, et al.
Published: (2025)
Convergence Analysis of Sequential Federated Learning on Heterogeneous Data
by: Li, Yipeng, et al.
Published: (2023)
by: Li, Yipeng, et al.
Published: (2023)
Optimizing Product Provenance Verification using Data Valuation Methods
by: Yousuf, Raquib Bin, et al.
Published: (2025)
by: Yousuf, Raquib Bin, et al.
Published: (2025)
Federated Recommender System with Data Valuation for E-commerce Platform
by: Park, Jongwon, et al.
Published: (2025)
by: Park, Jongwon, et al.
Published: (2025)
Tuning-Free Bilevel Optimization: New Algorithms and Convergence Analysis
by: Yang, Yifan, et al.
Published: (2024)
by: Yang, Yifan, et al.
Published: (2024)
Similar Items
-
Stochastic Dimension-Free Zeroth-Order Estimator for High-Dimensional and High-Order PINNs
by: Liang, Zhangyong, et al.
Published: (2026) -
Categorical Optimization with Bayesian Anchored Latent Trust Regions for Structural Design under High-Dimensional Uncertainty
by: Liang, Zhangyong, et al.
Published: (2026) -
Constitutive parameterized deep energy method for solid mechanics problems with random material parameters
by: Liang, Zhangyong, et al.
Published: (2026) -
Neural Dynamic Data Valuation: A Stochastic Optimal Control Approach
by: Liang, Zhangyong, et al.
Published: (2024) -
Manifold-Orthogonal Dual-spectrum Extrapolation for Parameterized Physics-Informed Neural Networks
by: Liang, Zhangyong, et al.
Published: (2026)