Beyond Linear Surrogates: High-Fidelity Local Explanations for Black-Box Models
Fuente:
arXiv
Saved in:
| Main Authors: | Shrestha, Sanjeev, Dubey, Rahul, Liu, Hui |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
BELLA: Black box model Explanations by Local Linear Approximations
by: Radulovic, Nedeljko, et al.
Published: (2023)
by: Radulovic, Nedeljko, et al.
Published: (2023)
Learning Surrogates for Offline Black-Box Optimization via Gradient Matching
by: Hoang, Minh, et al.
Published: (2025)
by: Hoang, Minh, et al.
Published: (2025)
Surrogate-Based Black-Box Optimization Method for Costly Molecular Properties
by: Leguy, Jules, et al.
Published: (2021)
by: Leguy, Jules, et al.
Published: (2021)
Trust Regions for Explanations via Black-Box Probabilistic Certification
by: Dhurandhar, Amit, et al.
Published: (2024)
by: Dhurandhar, Amit, et al.
Published: (2024)
Surrogate Interpretable Graph for Random Decision Forests
by: Dubey, Akshat, et al.
Published: (2025)
by: Dubey, Akshat, et al.
Published: (2025)
Exploring Local Explanations of Nonlinear Models Using Animated Linear Projections
by: Spyrison, Nicholas, et al.
Published: (2022)
by: Spyrison, Nicholas, et al.
Published: (2022)
Locally Interpretable Individualized Treatment Rules for Black-Box Decision Models
by: Charvadeh, Yasin Khadem, et al.
Published: (2026)
by: Charvadeh, Yasin Khadem, et al.
Published: (2026)
LIMEtree: Consistent and Faithful Surrogate Explanations of Multiple Classes
by: Sokol, Kacper, et al.
Published: (2020)
by: Sokol, Kacper, et al.
Published: (2020)
Enactor: From Traffic Simulators to Surrogate World Models
by: Ranjan, Yash, et al.
Published: (2026)
by: Ranjan, Yash, et al.
Published: (2026)
Black Box Model Explanations and the Human Interpretability Expectations -- An Analysis in the Context of Homicide Prediction
by: Ribeiro, José, et al.
Published: (2022)
by: Ribeiro, José, et al.
Published: (2022)
Optimizing the Unknown: Black Box Bayesian Optimization with Energy-Based Model and Reinforcement Learning
by: Miao, Ruiyao, et al.
Published: (2025)
by: Miao, Ruiyao, et al.
Published: (2025)
Beyond the Black Box: Do More Complex Deep Learning Models Provide Superior XAI Explanations?
by: Cedro, Mateusz, et al.
Published: (2024)
by: Cedro, Mateusz, et al.
Published: (2024)
Beyond the Black Box: A Statistical Model for LLM Reasoning and Inference
by: Dalal, Siddhartha, et al.
Published: (2024)
by: Dalal, Siddhartha, et al.
Published: (2024)
Using a Local Surrogate Model to Interpret Temporal Shifts in Global Annual Data
by: Nakano, Shou, et al.
Published: (2024)
by: Nakano, Shou, et al.
Published: (2024)
Robust Guided Diffusion for Offline Black-Box Optimization
by: Chen, Can Sam, et al.
Published: (2024)
by: Chen, Can Sam, et al.
Published: (2024)
Revitalizing Black-Box Interpretability: Actionable Interpretability for LLMs via Proxy Models
by: Liu, Junhao, et al.
Published: (2025)
by: Liu, Junhao, et al.
Published: (2025)
Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models
by: Joshi, Aniruddha, et al.
Published: (2025)
by: Joshi, Aniruddha, et al.
Published: (2025)
Knowledgeable Language Models as Black-Box Optimizers for Personalized Medicine
by: Yao, Michael S., et al.
Published: (2025)
by: Yao, Michael S., et al.
Published: (2025)
Jailbreaking Black Box Large Language Models in Twenty Queries
by: Chao, Patrick, et al.
Published: (2023)
by: Chao, Patrick, et al.
Published: (2023)
DiConStruct: Causal Concept-based Explanations through Black-Box Distillation
by: Moreira, Ricardo, et al.
Published: (2024)
by: Moreira, Ricardo, et al.
Published: (2024)
Optimistic Gradient Learning with Hessian Corrections for High-Dimensional Black-Box Optimization
by: Kfir, Yedidya, et al.
Published: (2025)
by: Kfir, Yedidya, et al.
Published: (2025)
Sharpness-Aware Black-Box Optimization
by: Ye, Feiyang, et al.
Published: (2024)
by: Ye, Feiyang, et al.
Published: (2024)
Causality-Aware Local Interpretable Model-Agnostic Explanations
by: Cinquini, Martina, et al.
Published: (2022)
by: Cinquini, Martina, et al.
Published: (2022)
Black-Box Time-Series Domain Adaptation via Cross-Prompt Foundation Models
by: Furqon, M. T., et al.
Published: (2025)
by: Furqon, M. T., et al.
Published: (2025)
LiBOG: Lifelong Learning for Black-Box Optimizer Generation
by: Pei, Jiyuan, et al.
Published: (2025)
by: Pei, Jiyuan, et al.
Published: (2025)
FINCH: Locally Visualizing Higher-Order Feature Interactions in Black Box Models
by: Kleinau, Anna, et al.
Published: (2025)
by: Kleinau, Anna, et al.
Published: (2025)
Locally-Minimal Probabilistic Explanations
by: Izza, Yacine, et al.
Published: (2023)
by: Izza, Yacine, et al.
Published: (2023)
AB-UPT: Scaling Neural CFD Surrogates for High-Fidelity Automotive Aerodynamics Simulations via Anchored-Branched Universal Physics Transformers
by: Alkin, Benedikt, et al.
Published: (2025)
by: Alkin, Benedikt, et al.
Published: (2025)
ExecTune: Effective Steering of Black-Box LLMs with Guide Models
by: Lingam, Vijay, et al.
Published: (2026)
by: Lingam, Vijay, et al.
Published: (2026)
Benchmarking Instance-Centric Counterfactual Algorithms for XAI: From White Box to Black Box
by: Moreira, Catarina, et al.
Published: (2022)
by: Moreira, Catarina, et al.
Published: (2022)
In-Context Black-Box Optimization with Unreliable Feedback
by: Blumer, Nicolas Samuel, et al.
Published: (2026)
by: Blumer, Nicolas Samuel, et al.
Published: (2026)
SEBA: Sample-Efficient Black-Box Attacks on Visual Reinforcement Learning
by: Huang, Tairan, et al.
Published: (2025)
by: Huang, Tairan, et al.
Published: (2025)
High-Fidelity Compression of Seismic Velocity Models via SIREN Auto-Decoders
by: Liu, Caiyun, et al.
Published: (2026)
by: Liu, Caiyun, et al.
Published: (2026)
OptunaHub: A Platform for Black-Box Optimization
by: Ozaki, Yoshihiko, et al.
Published: (2025)
by: Ozaki, Yoshihiko, et al.
Published: (2025)
Semantic Prototypes: Enhancing Transparency Without Black Boxes
by: Menis-Mastromichalakis, Orfeas, et al.
Published: (2024)
by: Menis-Mastromichalakis, Orfeas, et al.
Published: (2024)
A Generative Approach to Surrogate-based Black-box Attacks
by: Moraffah, Raha, et al.
Published: (2024)
by: Moraffah, Raha, et al.
Published: (2024)
EventADL: Open-Box Anomaly Detection and Localization Framework for Events in Cloud-Based Service Systems
by: Pham, Luan, et al.
Published: (2026)
by: Pham, Luan, et al.
Published: (2026)
Contract And Conquer: How to Provably Compute Adversarial Examples for a Black-Box Model?
by: Chistyakova, Anna, et al.
Published: (2026)
by: Chistyakova, Anna, et al.
Published: (2026)
FAST: Feature Aware Similarity Thresholding for Weak Unlearning in Black-Box Generative Models
by: Panda, Subhodip, et al.
Published: (2023)
by: Panda, Subhodip, et al.
Published: (2023)
Distribution Matching via Generalized Consistency Models
by: Shrestha, Sagar, et al.
Published: (2025)
by: Shrestha, Sagar, et al.
Published: (2025)
Similar Items
-
BELLA: Black box model Explanations by Local Linear Approximations
by: Radulovic, Nedeljko, et al.
Published: (2023) -
Learning Surrogates for Offline Black-Box Optimization via Gradient Matching
by: Hoang, Minh, et al.
Published: (2025) -
Surrogate-Based Black-Box Optimization Method for Costly Molecular Properties
by: Leguy, Jules, et al.
Published: (2021) -
Trust Regions for Explanations via Black-Box Probabilistic Certification
by: Dhurandhar, Amit, et al.
Published: (2024) -
Surrogate Interpretable Graph for Random Decision Forests
by: Dubey, Akshat, et al.
Published: (2025)