Guardado en:
| Autores principales: | Izza, Yacine, Ignatiev, Alexey, Stuckey, Peter, Marques-Silva, Joao |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2306.15272 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Rigorous Explanations for Tree Ensembles
por: Izza, Yacine, et al.
Publicado: (2026)
por: Izza, Yacine, et al.
Publicado: (2026)
Most General Explanations of Tree Ensembles (Extended Version)
por: Izza, Yacine, et al.
Publicado: (2025)
por: Izza, Yacine, et al.
Publicado: (2025)
Distance-Restricted Explanations: Theoretical Underpinnings & Efficient Implementation
por: Izza, Yacine, et al.
Publicado: (2024)
por: Izza, Yacine, et al.
Publicado: (2024)
Locally-Minimal Probabilistic Explanations
por: Izza, Yacine, et al.
Publicado: (2023)
por: Izza, Yacine, et al.
Publicado: (2023)
Efficient Contrastive Explanations on Demand
por: Izza, Yacine, et al.
Publicado: (2024)
por: Izza, Yacine, et al.
Publicado: (2024)
Efficient & Correct Predictive Equivalence for Decision Trees
por: Marques-Silva, Joao, et al.
Publicado: (2025)
por: Marques-Silva, Joao, et al.
Publicado: (2025)
Uncovering Bugs in Formal Explainers: A Case Study with PyXAI
por: Huang, Xuanxiang, et al.
Publicado: (2025)
por: Huang, Xuanxiang, et al.
Publicado: (2025)
Formal Explanations for Neuro-Symbolic AI
por: Paul, Sushmita, et al.
Publicado: (2024)
por: Paul, Sushmita, et al.
Publicado: (2024)
A Formal Framework for the Explanation of Finite Automata Decisions
por: Granada, Jaime Cuartas, et al.
Publicado: (2026)
por: Granada, Jaime Cuartas, et al.
Publicado: (2026)
On Trustworthy Rule-Based Models and Explanations
por: Siala, Mohamed, et al.
Publicado: (2025)
por: Siala, Mohamed, et al.
Publicado: (2025)
Explainability is NOT a Game
por: Marques-Silva, Joao, et al.
Publicado: (2023)
por: Marques-Silva, Joao, et al.
Publicado: (2023)
Towards trustable SHAP scores
por: Letoffe, Olivier, et al.
Publicado: (2024)
por: Letoffe, Olivier, et al.
Publicado: (2024)
SHAP scores fail pervasively even when Lipschitz succeeds
por: Letoffe, Olivier, et al.
Publicado: (2024)
por: Letoffe, Olivier, et al.
Publicado: (2024)
From SHAP Scores to Feature Importance Scores
por: Letoffe, Olivier, et al.
Publicado: (2024)
por: Letoffe, Olivier, et al.
Publicado: (2024)
The Cost of Relaxation: Evaluating the Error in Convex Neural Network Verification
por: Papamichail, Merkouris, et al.
Publicado: (2026)
por: Papamichail, Merkouris, et al.
Publicado: (2026)
From Noise to Precision: A Diffusion-Driven Approach to Zero-Inflated Precipitation Prediction
por: Gao, Wentao, et al.
Publicado: (2025)
por: Gao, Wentao, et al.
Publicado: (2025)
Training and Evaluating Causal Forecasting Models for Time-Series
por: Crasson, Thomas, et al.
Publicado: (2024)
por: Crasson, Thomas, et al.
Publicado: (2024)
SHAP-based Explanations are Sensitive to Feature Representation
por: Hwang, Hyunseung, et al.
Publicado: (2025)
por: Hwang, Hyunseung, et al.
Publicado: (2025)
LIMEtree: Consistent and Faithful Surrogate Explanations of Multiple Classes
por: Sokol, Kacper, et al.
Publicado: (2020)
por: Sokol, Kacper, et al.
Publicado: (2020)
Self-organizing maps for water quality assessment in reservoirs and lakes: A systematic literature review
por: Almegdadi, Oraib, et al.
Publicado: (2025)
por: Almegdadi, Oraib, et al.
Publicado: (2025)
Multi-View Majority Vote Learning Algorithms: Direct Minimization of PAC-Bayesian Bounds
por: Hennequin, Mehdi, et al.
Publicado: (2024)
por: Hennequin, Mehdi, et al.
Publicado: (2024)
Credible CO2 Comparisons: A Machine Learning Approach to Vehicle Powertrain Assessment
por: David, Rodrigo Pereira, et al.
Publicado: (2026)
por: David, Rodrigo Pereira, et al.
Publicado: (2026)
Explanations are a Means to an End: Decision Theoretic Explanation Evaluation
por: Guo, Ziyang, et al.
Publicado: (2025)
por: Guo, Ziyang, et al.
Publicado: (2025)
Is Your Explanation Reliable: Confidence-Aware Explanation on Graph Neural Networks
por: Zhang, Jiaxing, et al.
Publicado: (2025)
por: Zhang, Jiaxing, et al.
Publicado: (2025)
Latent Style-based Quantum Wasserstein GAN for Drug Design
por: Baglio, Julien, et al.
Publicado: (2026)
por: Baglio, Julien, et al.
Publicado: (2026)
Prompt-Counterfactual Explanations for Generative AI System Behavior
por: Goethals, Sofie, et al.
Publicado: (2026)
por: Goethals, Sofie, et al.
Publicado: (2026)
DeliverAI: Reinforcement Learning Based Distributed Path-Sharing Network for Food Deliveries
por: Mehra, Ashman, et al.
Publicado: (2023)
por: Mehra, Ashman, et al.
Publicado: (2023)
Mochi: Aligning Pre-training and Inference for Efficient Graph Foundation Models via Meta-Learning
por: Mattos, João, et al.
Publicado: (2026)
por: Mattos, João, et al.
Publicado: (2026)
Comparative Explanations: Explanation Guided Decision Making for Human-in-the-Loop Preference Selection
por: Chakraborty, Tanmay, et al.
Publicado: (2025)
por: Chakraborty, Tanmay, et al.
Publicado: (2025)
Sanity Checks for Explanation Uncertainty
por: Valdenegro-Toro, Matias, et al.
Publicado: (2024)
por: Valdenegro-Toro, Matias, et al.
Publicado: (2024)
Suboptimal Shapley Value Explanations
por: Lu, Xiaolei
Publicado: (2025)
por: Lu, Xiaolei
Publicado: (2025)
How Explanations Leak the Decision Logic: Stealing Graph Neural Networks via Explanation Alignment
por: Ma, Bin, et al.
Publicado: (2025)
por: Ma, Bin, et al.
Publicado: (2025)
Calibrated Explanations: with Uncertainty Information and Counterfactuals
por: Lofstrom, Helena, et al.
Publicado: (2023)
por: Lofstrom, Helena, et al.
Publicado: (2023)
Efficiently Computing Compact Formal Explanations
por: Wu, Min, et al.
Publicado: (2024)
por: Wu, Min, et al.
Publicado: (2024)
Explanation Multiplicity in SHAP: Characterization and Assessment
por: Hwang, Hyunseung, et al.
Publicado: (2026)
por: Hwang, Hyunseung, et al.
Publicado: (2026)
Distributional Counterfactual Explanations With Optimal Transport
por: You, Lei, et al.
Publicado: (2024)
por: You, Lei, et al.
Publicado: (2024)
Galaxy Morphology Classification with Counterfactual Explanation
por: Cao, Zhuo, et al.
Publicado: (2025)
por: Cao, Zhuo, et al.
Publicado: (2025)
Provable Robust Saliency-based Explanations
por: Chen, Chao, et al.
Publicado: (2022)
por: Chen, Chao, et al.
Publicado: (2022)
Reflective-Net: Learning from Explanations
por: Schneider, Johannes, et al.
Publicado: (2020)
por: Schneider, Johannes, et al.
Publicado: (2020)
The Effect of Data Poisoning on Counterfactual Explanations
por: Artelt, André, et al.
Publicado: (2024)
por: Artelt, André, et al.
Publicado: (2024)
Ejemplares similares
-
Rigorous Explanations for Tree Ensembles
por: Izza, Yacine, et al.
Publicado: (2026) -
Most General Explanations of Tree Ensembles (Extended Version)
por: Izza, Yacine, et al.
Publicado: (2025) -
Distance-Restricted Explanations: Theoretical Underpinnings & Efficient Implementation
por: Izza, Yacine, et al.
Publicado: (2024) -
Locally-Minimal Probabilistic Explanations
por: Izza, Yacine, et al.
Publicado: (2023) -
Efficient Contrastive Explanations on Demand
por: Izza, Yacine, et al.
Publicado: (2024)