Imagen de Portada

PAWN: Piece Value Analysis with Neural Networks

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Tang, Ethan, Davulcu, Hasan, Zou, Jia, Zhang, Zhongju
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Towards Piece-by-Piece Explanations for Chess Positions with SHAP
por: Spinnato, Francesco
Publicado: (2025)

BioOSS: A Bio-Inspired Oscillatory State System with Spatio-Temporal Dynamics
por: Yuan, Zhongju, et al.
Publicado: (2025)

Set-Valued Sensitivity Analysis of Deep Neural Networks
por: Wang, Xin, et al.
Publicado: (2024)

Understanding the Generalization of Stochastic Gradient Adam in Learning Neural Networks
por: Tang, Xuan, et al.
Publicado: (2025)

Space Alignment Matters: The Missing Piece for Inducing Neural Collapse in Long-Tailed Learning
por: Wang, Jinping, et al.
Publicado: (2025)

Atherosclerosis through Hierarchical Explainable Neural Network Analysis
por: Adam, Irsyad, et al.
Publicado: (2025)

Many Ways to be Right: Rashomon Sets for Concept-Based Neural Networks
por: Feng, Shihan, et al.
Publicado: (2025)

A Generalized Singular Value Theory for Neural Networks
por: Brown, Brian Charles, et al.
Publicado: (2026)

Relating-Up: Advancing Graph Neural Networks through Inter-Graph Relationships
por: Zou, Qi, et al.
Publicado: (2024)

Perturbing the Phase: Analyzing Adversarial Robustness of Complex-Valued Neural Networks
por: Eilers, Florian, et al.
Publicado: (2026)

Adaptive Kernel Design for Bayesian Optimization Is a Piece of CAKE with LLMs
por: Suwandi, Richard Cornelius, et al.
Publicado: (2025)

BEND: Bagging Deep Learning Training Based on Efficient Neural Network Diffusion
por: Wei, Jia, et al.
Publicado: (2024)

HT-GNN: Hyper-Temporal Graph Neural Network for Customer Lifetime Value Prediction in Baidu Ads
por: Zhao, Xiaohui, et al.
Publicado: (2026)

SAGMAN: Stability Analysis of Graph Neural Networks on the Manifolds
por: Cheng, Wuxinlin, et al.
Publicado: (2024)

Error Analysis of Shapley Value-Based Model Explanations: An Informative Perspective
por: Zhao, Ningsheng, et al.
Publicado: (2024)

Heterophilic Graph Neural Networks Optimization with Causal Message-passing
por: Wang, Botao, et al.
Publicado: (2024)

On the Impact of Class Imbalance on the Learning Dynamics of Deep Neural Networks:An Intuitive Insight
por: Mustapha, Ismail B., et al.
Publicado: (2026)

A Convergence Analysis of Adaptive Optimizers under Floating-point Quantization
por: Tang, Xuan, et al.
Publicado: (2025)

Language Models can Self-Improve at State-Value Estimation for Better Search
por: Mendes, Ethan, et al.
Publicado: (2025)

AF2-Mutation: Adversarial Sequence Mutations against AlphaFold2 on Protein Tertiary Structure Prediction
por: Yuan, Zhongju, et al.
Publicado: (2023)

Generalized Priority-Aware Shapley Value
por: Lee, Kiljae, et al.
Publicado: (2026)

Neural Inhibition Improves Dynamic Routing and Mixture of Experts
por: Zou, Will Y., et al.
Publicado: (2025)

Minimize Control Inputs for Strong Structural Controllability Using Reinforcement Learning with Graph Neural Network
por: Zou, Mengbang, et al.
Publicado: (2024)

Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks
por: Li, Xin-Chun, et al.
Publicado: (2024)

Complex-Valued Unitary Representations as Classification Heads for Improved Uncertainty Quantification in Deep Neural Networks
por: Jafari, Akbar Anbar, et al.
Publicado: (2026)

Retrosynthetic Planning with Dual Value Networks
por: Liu, Guoqing, et al.
Publicado: (2023)

Graph Neural Networks for Learning Equivariant Representations of Neural Networks
por: Kofinas, Miltiadis, et al.
Publicado: (2024)

On the Convergence and Size Transferability of Continuous-depth Graph Neural Networks
por: Yan, Mingsong, et al.
Publicado: (2025)

Asymptotic and Finite Sample Analysis of Nonexpansive Stochastic Approximations with Markovian Noise
por: Blaser, Ethan, et al.
Publicado: (2024)

Revisiting Heat Flux Analysis of Tungsten Monoblock Divertor on EAST using Physics-Informed Neural Network
por: Wang, Xiao, et al.
Publicado: (2025)

Extracting Formulae in Many-Valued Logic from Deep Neural Networks
por: Zhang, Yani, et al.
Publicado: (2024)

A novel Reservoir Architecture for Periodic Time Series Prediction
por: Yuan, Zhongju, et al.
Publicado: (2024)

Highway Value Iteration Networks
por: Wang, Yuhui, et al.
Publicado: (2024)

Edge Private Graph Neural Networks with Singular Value Perturbation
por: Tang, Tingting, et al.
Publicado: (2024)

Increasing the Confidence of Deep Neural Networks by Coverage Analysis
por: Rossolini, Giulio, et al.
Publicado: (2021)

NeSHFS: Neighborhood Search with Heuristic-based Feature Selection for Click-Through Rate Prediction
por: Aksu, Dogukan, et al.
Publicado: (2024)

Unveiling Mode Connectivity in Graph Neural Networks
por: Li, Bingheng, et al.
Publicado: (2025)

An Analysis of Action-Value Temporal-Difference Methods That Learn State Values
por: Daley, Brett, et al.
Publicado: (2025)

Eigenspectrum Analysis of Neural Networks without Aspect Ratio Bias
por: Hu, Yuanzhe, et al.
Publicado: (2025)

The Application of Artificial Neural Network Model to Predicting the Acid Mine Drainage from Long-Term Lab Scale Kinetic Test
por: Abfertiawan, Muhammad Sonny, et al.
Publicado: (2024)