Using a Local Surrogate Model to Interpret Temporal Shifts in Global Annual Data
Fuente:
arXiv
Guardado en:
| Autores principales: | Nakano, Shou, Liu, Yang |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Mathematical Foundation of Interpretable Equivariant Surrogate Models
por: Colombini, Jacopo Joy, et al.
Publicado: (2025)
por: Colombini, Jacopo Joy, et al.
Publicado: (2025)
Enhancing Model Interpretability with Local Attribution over Global Exploration
por: Zhu, Zhiyu, et al.
Publicado: (2024)
por: Zhu, Zhiyu, et al.
Publicado: (2024)
Surrogate Fitness Metrics for Interpretable Reinforcement Learning
por: Altmann, Philipp, et al.
Publicado: (2025)
por: Altmann, Philipp, et al.
Publicado: (2025)
Surrogate Interpretable Graph for Random Decision Forests
por: Dubey, Akshat, et al.
Publicado: (2025)
por: Dubey, Akshat, et al.
Publicado: (2025)
Beyond Linear Surrogates: High-Fidelity Local Explanations for Black-Box Models
por: Shrestha, Sanjeev, et al.
Publicado: (2025)
por: Shrestha, Sanjeev, et al.
Publicado: (2025)
Feature Shift Localization Network
por: Barrabés, Míriam, et al.
Publicado: (2025)
por: Barrabés, Míriam, et al.
Publicado: (2025)
Interpretable and Explainable Surrogate Modeling for Simulations: A State-of-the-Art Survey and Perspectives on Explainable AI for Decision-Making
por: Palar, Pramudita Satria, et al.
Publicado: (2026)
por: Palar, Pramudita Satria, et al.
Publicado: (2026)
Surrogate Neural Networks Local Stability for Aircraft Predictive Maintenance
por: Ducoffe, Mélanie, et al.
Publicado: (2024)
por: Ducoffe, Mélanie, et al.
Publicado: (2024)
Gradient-Informed Temporal Sampling Improves Rollout Accuracy in PDE Surrogate Training
por: Wang, Wenshuo, et al.
Publicado: (2026)
por: Wang, Wenshuo, et al.
Publicado: (2026)
Rethinking Distribution Shifts: Empirical Analysis and Inductive Modeling for Tabular Data
por: Wang, Tianyu, et al.
Publicado: (2023)
por: Wang, Tianyu, et al.
Publicado: (2023)
DT-PBO: an Interpretable Tree-based Surrogate Model for Preferential Bayesian Optimization
por: Leenders, Nick, et al.
Publicado: (2025)
por: Leenders, Nick, et al.
Publicado: (2025)
Multi-Level Temporal Graph Networks with Local-Global Fusion for Industrial Fault Diagnosis
por: Aryal, Bibek, et al.
Publicado: (2026)
por: Aryal, Bibek, et al.
Publicado: (2026)
SL-CBM: Enhancing Concept Bottleneck Models with Semantic Locality for Better Interpretability
por: Zhang, Hanwei, et al.
Publicado: (2026)
por: Zhang, Hanwei, et al.
Publicado: (2026)
Causality-Aware Local Interpretable Model-Agnostic Explanations
por: Cinquini, Martina, et al.
Publicado: (2022)
por: Cinquini, Martina, et al.
Publicado: (2022)
SURGE: Surrogate Gradient Adaptation in Binary Neural Networks
por: Huang, Haoyu, et al.
Publicado: (2026)
por: Huang, Haoyu, et al.
Publicado: (2026)
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data
por: Yang, Yiyuan, et al.
Publicado: (2024)
por: Yang, Yiyuan, et al.
Publicado: (2024)
Interpretable Hybrid-Rule Temporal Point Processes
por: Cao, Yunyang, et al.
Publicado: (2025)
por: Cao, Yunyang, et al.
Publicado: (2025)
Individualized and Interpretable Sleep Forecasting via a Two-Stage Adaptive Spatial-Temporal Model
por: Wang, Xueyi, et al.
Publicado: (2025)
por: Wang, Xueyi, et al.
Publicado: (2025)
Data Interpreter: An LLM Agent For Data Science
por: Hong, Sirui, et al.
Publicado: (2024)
por: Hong, Sirui, et al.
Publicado: (2024)
Identifying the Best Arm in the Presence of Global Environment Shifts
por: Srisawad, Phurinut, et al.
Publicado: (2024)
por: Srisawad, Phurinut, et al.
Publicado: (2024)
Enhancing Data Efficiency and Feature Identification for Lithium-Ion Battery Lifespan Prediction by Deciphering Interpretation of Temporal Patterns and Cyclic Variability Using Attention-Based Models
por: Lee, Jaewook, et al.
Publicado: (2023)
por: Lee, Jaewook, et al.
Publicado: (2023)
Multiple Physics Pretraining for Physical Surrogate Models
por: McCabe, Michael, et al.
Publicado: (2023)
por: McCabe, Michael, et al.
Publicado: (2023)
ST-TGExplainer: Disentangling Stability and Transition Patterns for Temporal GNN Interpretability
por: Chen, Hongjiang, et al.
Publicado: (2026)
por: Chen, Hongjiang, et al.
Publicado: (2026)
Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation
por: Tang, Haoteng, et al.
Publicado: (2024)
por: Tang, Haoteng, et al.
Publicado: (2024)
Interpretability-by-Design with Accurate Locally Additive Models and Conditional Feature Effects
por: Gkolemis, Vasilis, et al.
Publicado: (2026)
por: Gkolemis, Vasilis, et al.
Publicado: (2026)
Beyond 9-to-5: A Generative Model for Augmenting Mobility Data of Underrepresented Shift Workers
por: Ma, Haoxuan, et al.
Publicado: (2025)
por: Ma, Haoxuan, et al.
Publicado: (2025)
SOLIS: Physics-Informed Learning of Interpretable Neural Surrogates for Nonlinear Systems
por: Mansur, Murat Furkan, et al.
Publicado: (2026)
por: Mansur, Murat Furkan, et al.
Publicado: (2026)
Predicting Long Term Sequential Policy Value Using Softer Surrogates
por: Nam, Hyunji, et al.
Publicado: (2024)
por: Nam, Hyunji, et al.
Publicado: (2024)
State Regularized Policy Optimization on Data with Dynamics Shift
por: Xue, Zhenghai, et al.
Publicado: (2023)
por: Xue, Zhenghai, et al.
Publicado: (2023)
FedNSAM:Consistency of Local and Global Flatness for Federated Learning
por: Liu, Junkang, et al.
Publicado: (2026)
por: Liu, Junkang, et al.
Publicado: (2026)
Shift of Pairwise Similarities for Data Clustering
por: Chehreghani, Morteza Haghir
Publicado: (2021)
por: Chehreghani, Morteza Haghir
Publicado: (2021)
Enactor: From Traffic Simulators to Surrogate World Models
por: Ranjan, Yash, et al.
Publicado: (2026)
por: Ranjan, Yash, et al.
Publicado: (2026)
From Model-Based Screening to Data-Driven Surrogates: A Multi-Stage Workflow for Exploring Stochastic Agent-Based Models
por: Saves, Paul, et al.
Publicado: (2026)
por: Saves, Paul, et al.
Publicado: (2026)
Learning to Reason: Temporal Saliency Distillation for Interpretable Knowledge Transfer
por: Dehigahawattage, Nilushika Udayangani Hewa, et al.
Publicado: (2026)
por: Dehigahawattage, Nilushika Udayangani Hewa, et al.
Publicado: (2026)
Bridging Interpretability and Robustness Using LIME-Guided Model Refinement
por: Nayyem, Navid, et al.
Publicado: (2024)
por: Nayyem, Navid, et al.
Publicado: (2024)
AIM: Attributing, Interpreting, Mitigating Data Unfairness
por: Liu, Zhining, et al.
Publicado: (2024)
por: Liu, Zhining, et al.
Publicado: (2024)
Frequency-aware Surrogate Modeling With SMT Kernels For Advanced Data Forecasting
por: Gonel, Nicolas, et al.
Publicado: (2025)
por: Gonel, Nicolas, et al.
Publicado: (2025)
Understanding Fairness Surrogate Functions in Algorithmic Fairness
por: Yao, Wei, et al.
Publicado: (2023)
por: Yao, Wei, et al.
Publicado: (2023)
AutoSurrogate: An LLM-Driven Multi-Agent Framework for Autonomous Construction of Deep Learning Surrogate Models in Subsurface Flow
por: Liu, Jiale, et al.
Publicado: (2026)
por: Liu, Jiale, et al.
Publicado: (2026)
Learning Interpretable Rules for Scalable Data Representation and Classification
por: Wang, Zhuo, et al.
Publicado: (2023)
por: Wang, Zhuo, et al.
Publicado: (2023)
Ejemplares similares
-
Mathematical Foundation of Interpretable Equivariant Surrogate Models
por: Colombini, Jacopo Joy, et al.
Publicado: (2025) -
Enhancing Model Interpretability with Local Attribution over Global Exploration
por: Zhu, Zhiyu, et al.
Publicado: (2024) -
Surrogate Fitness Metrics for Interpretable Reinforcement Learning
por: Altmann, Philipp, et al.
Publicado: (2025) -
Surrogate Interpretable Graph for Random Decision Forests
por: Dubey, Akshat, et al.
Publicado: (2025) -
Beyond Linear Surrogates: High-Fidelity Local Explanations for Black-Box Models
por: Shrestha, Sanjeev, et al.
Publicado: (2025)