Saved in:
| Main Authors: | Gorji, Ali, Amrollahi, Andisheh, Krause, Andreas |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.06300 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SHAP values through General Fourier Representations: Theory and Applications
by: Morales, Roberto
Published: (2025)
by: Morales, Roberto
Published: (2025)
How to safely discard features based on aggregate SHAP values
by: Bhattacharjee, Robi, et al.
Published: (2025)
by: Bhattacharjee, Robi, et al.
Published: (2025)
Collision-based Dynamics for Multi-Marginal Optimal Transport
by: Sadr, Mohsen, et al.
Published: (2024)
by: Sadr, Mohsen, et al.
Published: (2024)
Why Cannot Neural Networks Master Extrapolation? Insights from Physical Laws
by: Dakhmouche, Ramzi, et al.
Published: (2025)
by: Dakhmouche, Ramzi, et al.
Published: (2025)
Quadrature-TreeSHAP: Depth-Independent TreeSHAP and Shapley Interactions
by: Wettenstein, Ron, et al.
Published: (2026)
by: Wettenstein, Ron, et al.
Published: (2026)
TabSHAP
by: Chaudhary, Aryan, et al.
Published: (2026)
by: Chaudhary, Aryan, et al.
Published: (2026)
From superposition to sparse codes: interpretable representations in neural networks
by: Klindt, David, et al.
Published: (2025)
by: Klindt, David, et al.
Published: (2025)
PolySHAP: Extending KernelSHAP with Interaction-Informed Polynomial Regression
by: Fumagalli, Fabian, et al.
Published: (2026)
by: Fumagalli, Fabian, et al.
Published: (2026)
Interaction Tensor SHAP
by: Hasegawa, Hiroki, et al.
Published: (2025)
by: Hasegawa, Hiroki, et al.
Published: (2025)
Improving the Weighting Strategy in KernelSHAP
by: Olsen, Lars Henry Berge, et al.
Published: (2024)
by: Olsen, Lars Henry Berge, et al.
Published: (2024)
Towards trustable SHAP scores
by: Letoffe, Olivier, et al.
Published: (2024)
by: Letoffe, Olivier, et al.
Published: (2024)
On periodic distributed representations using Fourier embeddings
by: Chouinard, Jakeb
Published: (2026)
by: Chouinard, Jakeb
Published: (2026)
pAE: An Efficient Autoencoder Architecture for Modeling the Lateral Geniculate Nucleus by Integrating Feedforward and Feedback Streams in Human Visual System
by: Gorji, Moslem, et al.
Published: (2024)
by: Gorji, Moslem, et al.
Published: (2024)
Global Reinforcement Learning: Beyond Linear and Convex Rewards via Submodular Semi-gradient Methods
by: De Santi, Riccardo, et al.
Published: (2024)
by: De Santi, Riccardo, et al.
Published: (2024)
Confidence Estimation via Sequential Likelihood Mixing
by: Kirschner, Johannes, et al.
Published: (2025)
by: Kirschner, Johannes, et al.
Published: (2025)
CS-SHAP: Extending SHAP to Cyclic-Spectral Domain for Better Interpretability of Intelligent Fault Diagnosis
by: Chen, Qian, et al.
Published: (2025)
by: Chen, Qian, et al.
Published: (2025)
Can Linear Probes Measure LLM Uncertainty?
by: Dakhmouche, Ramzi, et al.
Published: (2025)
by: Dakhmouche, Ramzi, et al.
Published: (2025)
ContextualSHAP : Enhancing SHAP Explanations Through Contextual Language Generation
by: Dwiyanti, Latifa, et al.
Published: (2025)
by: Dwiyanti, Latifa, et al.
Published: (2025)
POETS: Uncertainty-Aware LLM Optimization via Compute-Efficient Policy Ensembles
by: Menet, Nicolas, et al.
Published: (2026)
by: Menet, Nicolas, et al.
Published: (2026)
SHAP-Guided Regularization in Machine Learning Models
by: Saadallah, Amal
Published: (2025)
by: Saadallah, Amal
Published: (2025)
CQD-SHAP: Explainable Complex Query Answering via Shapley Values
by: Abbasi, Parsa, et al.
Published: (2025)
by: Abbasi, Parsa, et al.
Published: (2025)
Explanation Multiplicity in SHAP: Characterization and Assessment
by: Hwang, Hyunseung, et al.
Published: (2026)
by: Hwang, Hyunseung, et al.
Published: (2026)
Interpretable Credit Default Prediction with Ensemble Learning and SHAP
by: Yang, Shiqi, et al.
Published: (2025)
by: Yang, Shiqi, et al.
Published: (2025)
ConfoundingSHAP: Quantifying confounding strength in causal inference
by: Brockschmidt, Marie, et al.
Published: (2026)
by: Brockschmidt, Marie, et al.
Published: (2026)
Probabilistic Artificial Intelligence
by: Krause, Andreas, et al.
Published: (2025)
by: Krause, Andreas, et al.
Published: (2025)
Can Global XAI Methods Reveal Injected Bias in LLMs? SHAP vs Rule Extraction vs RuleSHAP
by: Sovrano, Francesco
Published: (2025)
by: Sovrano, Francesco
Published: (2025)
QuadraSHAP: Stable and Scalable Shapley Values for Product Games via Gauss-Legendre Quadrature
by: Mohammadi, Majid, et al.
Published: (2026)
by: Mohammadi, Majid, et al.
Published: (2026)
From SHAP Scores to Feature Importance Scores
by: Letoffe, Olivier, et al.
Published: (2024)
by: Letoffe, Olivier, et al.
Published: (2024)
On the Tractability of SHAP Explanations under Markovian Distributions
by: Marzouk, Reda, et al.
Published: (2024)
by: Marzouk, Reda, et al.
Published: (2024)
SHAP-based Explanations are Sensitive to Feature Representation
by: Hwang, Hyunseung, et al.
Published: (2025)
by: Hwang, Hyunseung, et al.
Published: (2025)
$ϕ$-Table: A Statistical Explanation for Global SHAP
by: Kim, Dongseok, et al.
Published: (2025)
by: Kim, Dongseok, et al.
Published: (2025)
REFRESH: Responsible and Efficient Feature Reselection Guided by SHAP Values
by: Sharma, Shubham, et al.
Published: (2024)
by: Sharma, Shubham, et al.
Published: (2024)
SHAP-Guided Kernel Actor-Critic for Explainable Reinforcement Learning
by: Li, Na, et al.
Published: (2025)
by: Li, Na, et al.
Published: (2025)
A comparative analysis of machine learning models in SHAP analysis
by: Lin, Justin, et al.
Published: (2026)
by: Lin, Justin, et al.
Published: (2026)
Explainable time-series forecasting with sampling-free SHAP for Transformers
by: Hertel, Matthias, et al.
Published: (2025)
by: Hertel, Matthias, et al.
Published: (2025)
Directed Exploration in Reinforcement Learning from Linear Temporal Logic
by: Bagatella, Marco, et al.
Published: (2024)
by: Bagatella, Marco, et al.
Published: (2024)
Residual Deep Gaussian Processes on Manifolds
by: Wyrwal, Kacper, et al.
Published: (2024)
by: Wyrwal, Kacper, et al.
Published: (2024)
Causal Modeling with Stationary Diffusions
by: Lorch, Lars, et al.
Published: (2023)
by: Lorch, Lars, et al.
Published: (2023)
Fooling SHAP with Output Shuffling Attacks
by: Yuan, Jun, et al.
Published: (2024)
by: Yuan, Jun, et al.
Published: (2024)
Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging
by: Bertolissi, Ryo, et al.
Published: (2025)
by: Bertolissi, Ryo, et al.
Published: (2025)
Similar Items
-
SHAP values through General Fourier Representations: Theory and Applications
by: Morales, Roberto
Published: (2025) -
How to safely discard features based on aggregate SHAP values
by: Bhattacharjee, Robi, et al.
Published: (2025) -
Collision-based Dynamics for Multi-Marginal Optimal Transport
by: Sadr, Mohsen, et al.
Published: (2024) -
Why Cannot Neural Networks Master Extrapolation? Insights from Physical Laws
by: Dakhmouche, Ramzi, et al.
Published: (2025) -
Quadrature-TreeSHAP: Depth-Independent TreeSHAP and Shapley Interactions
by: Wettenstein, Ron, et al.
Published: (2026)