Position: Explainable AI is Causality in Disguise
Fuente:
arXiv
Guardado en:
| Autor principal: | Karimi, Amir-Hossein |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
A Unified Perturbation Framework for Analyzing Leaderboard Stability and Manipulation
por: Oyarhoseini, Hosna, et al.
Publicado: (2026)
por: Oyarhoseini, Hosna, et al.
Publicado: (2026)
Temporal convolutional and fusional transformer model with Bi-LSTM encoder-decoder for multi-time-window remaining useful life prediction
por: Pour, Mohamadreza Akbari, et al.
Publicado: (2025)
por: Pour, Mohamadreza Akbari, et al.
Publicado: (2025)
ABCD: All Biases Come Disguised
por: Nowak, Mateusz, et al.
Publicado: (2026)
por: Nowak, Mateusz, et al.
Publicado: (2026)
Custom Gradient Estimators are Straight-Through Estimators in Disguise
por: Schoenbauer, Matt, et al.
Publicado: (2024)
por: Schoenbauer, Matt, et al.
Publicado: (2024)
Catastrophic Overfitting: A Potential Blessing in Disguise
por: Zhao, Mengnan, et al.
Publicado: (2024)
por: Zhao, Mengnan, et al.
Publicado: (2024)
Disguised Copyright Infringement of Latent Diffusion Models
por: Lu, Yiwei, et al.
Publicado: (2024)
por: Lu, Yiwei, et al.
Publicado: (2024)
CARE-ECG: Causal Agent-based Reasoning for Explainable and Counterfactual ECG Interpretation
por: Khatibi, Elahe, et al.
Publicado: (2026)
por: Khatibi, Elahe, et al.
Publicado: (2026)
Chain-of-Thought Unfaithfulness as Disguised Accuracy
por: Bentham, Oliver, et al.
Publicado: (2024)
por: Bentham, Oliver, et al.
Publicado: (2024)
Predictive Maintenance of Electric Motors Using Supervised Learning Models: A Comparative Analysis
por: Baradaran, Amir Hossein
Publicado: (2025)
por: Baradaran, Amir Hossein
Publicado: (2025)
Challenges and Considerations in the Evaluation of Bayesian Causal Discovery
por: Mamaghan, Amir Mohammad Karimi, et al.
Publicado: (2024)
por: Mamaghan, Amir Mohammad Karimi, et al.
Publicado: (2024)
LLM Safety Alignment is Divergence Estimation in Disguise
por: Haldar, Rajdeep, et al.
Publicado: (2025)
por: Haldar, Rajdeep, et al.
Publicado: (2025)
Bridging Brain with Foundation Models through Self-Supervised Learning
por: Altaheri, Hamdi, et al.
Publicado: (2025)
por: Altaheri, Hamdi, et al.
Publicado: (2025)
Multi-scale Autoregressive Models are Laplacian, Discrete, and Latent Diffusion Models in Disguise
por: Hong, Steve, et al.
Publicado: (2025)
por: Hong, Steve, et al.
Publicado: (2025)
Automating API Documentation with LLMs: A BERTopic Approach
por: Naghshzan, AmirHossein
Publicado: (2025)
por: Naghshzan, AmirHossein
Publicado: (2025)
Dual Optimistic Ascent (PI Control) is the Augmented Lagrangian Method in Disguise
por: Ramirez, Juan, et al.
Publicado: (2025)
por: Ramirez, Juan, et al.
Publicado: (2025)
From Predictions to Explanations: Explainable AI for Autism Diagnosis and Identification of Critical Brain Regions
por: Gupta, Kush, et al.
Publicado: (2025)
por: Gupta, Kush, et al.
Publicado: (2025)
Understanding Adam Optimizer via Online Learning of Updates: Adam is FTRL in Disguise
por: Ahn, Kwangjun, et al.
Publicado: (2024)
por: Ahn, Kwangjun, et al.
Publicado: (2024)
CausalWrap: Model-Agnostic Causal Constraint Wrappers for Tabular Synthetic Data
por: Asiaee, Amir, et al.
Publicado: (2026)
por: Asiaee, Amir, et al.
Publicado: (2026)
Explainable AI and Machine Learning for Exam-based Student Evaluation: Causal and Predictive Analysis of Socio-academic and Economic Factors
por: Akter, Bushra, et al.
Publicado: (2025)
por: Akter, Bushra, et al.
Publicado: (2025)
From What Ifs to Insights: Counterfactuals in Causal Inference vs. Explainable AI
por: Shmueli, Galit, et al.
Publicado: (2025)
por: Shmueli, Galit, et al.
Publicado: (2025)
Explainable Reinforcement Learning via a Causal World Model
por: Yu, Zhongwei, et al.
Publicado: (2023)
por: Yu, Zhongwei, et al.
Publicado: (2023)
Causal Interventional Prediction System for Robust and Explainable Effect Forecasting
por: Chu, Zhixuan, et al.
Publicado: (2024)
por: Chu, Zhixuan, et al.
Publicado: (2024)
Hiding in Plain Sight: Disguising Data Stealing Attacks in Federated Learning
por: Garov, Kostadin, et al.
Publicado: (2023)
por: Garov, Kostadin, et al.
Publicado: (2023)
Explainable AI in Spatial Analysis
por: Li, Ziqi
Publicado: (2025)
por: Li, Ziqi
Publicado: (2025)
Causal State Distillation for Explainable Reinforcement Learning
por: Lu, Wenhao, et al.
Publicado: (2023)
por: Lu, Wenhao, et al.
Publicado: (2023)
Efficient Discovery of Approximate Causal Abstractions via Neural Mechanism Sparsification
por: Asiaee, Amir
Publicado: (2026)
por: Asiaee, Amir
Publicado: (2026)
Convexity in Disguise: A Theoretical Framework for Nonconvex Low-Rank Matrix Estimation
por: Cui, Chengyu, et al.
Publicado: (2026)
por: Cui, Chengyu, et al.
Publicado: (2026)
AMIR-GRPO: Inducing Implicit Preference Signals into GRPO
por: Yari, Amir Hossein, et al.
Publicado: (2026)
por: Yari, Amir Hossein, et al.
Publicado: (2026)
Protecting the Neural Networks against FGSM Attack Using Machine Unlearning
por: Khorasani, Amir Hossein, et al.
Publicado: (2025)
por: Khorasani, Amir Hossein, et al.
Publicado: (2025)
Explainable Federated Bayesian Causal Inference and Its Application in Advanced Manufacturing
por: Xiao, Xiaofeng, et al.
Publicado: (2025)
por: Xiao, Xiaofeng, et al.
Publicado: (2025)
Data Science Principles for Interpretable and Explainable AI
por: Sankaran, Kris
Publicado: (2024)
por: Sankaran, Kris
Publicado: (2024)
Explainable AI in Big Data Fraud Detection
por: Jain, Ayush, et al.
Publicado: (2025)
por: Jain, Ayush, et al.
Publicado: (2025)
Unveiling The Factors of Aesthetic Preferences with Explainable AI
por: Soydaner, Derya, et al.
Publicado: (2023)
por: Soydaner, Derya, et al.
Publicado: (2023)
Jailbreaking the Non-Transferable Barrier via Test-Time Data Disguising
por: Xiang, Yongli, et al.
Publicado: (2025)
por: Xiang, Yongli, et al.
Publicado: (2025)
Fundamental Limits of Learning High-dimensional Simplices in Noisy Regimes
por: Saberi, Seyed Amir Hossein, et al.
Publicado: (2025)
por: Saberi, Seyed Amir Hossein, et al.
Publicado: (2025)
Dynamic operator management in meta-heuristics using reinforcement learning: an application to permutation flowshop scheduling problems
por: Mamaghan, Maryam Karimi, et al.
Publicado: (2024)
por: Mamaghan, Maryam Karimi, et al.
Publicado: (2024)
Explainable AI for microseismic event detection
por: Abdullin, Ayrat, et al.
Publicado: (2025)
por: Abdullin, Ayrat, et al.
Publicado: (2025)
Causal Imitation Learning Under Measurement Error and Distribution Shift
por: Bo, Shi, et al.
Publicado: (2026)
por: Bo, Shi, et al.
Publicado: (2026)
Bias-Targeted Nonparametric Balancing for Stable Causal Mediation Analysis
por: Liu, Chang, et al.
Publicado: (2024)
por: Liu, Chang, et al.
Publicado: (2024)
Explainable AI needs formalization
por: Haufe, Stefan, et al.
Publicado: (2024)
por: Haufe, Stefan, et al.
Publicado: (2024)
Ejemplares similares
-
A Unified Perturbation Framework for Analyzing Leaderboard Stability and Manipulation
por: Oyarhoseini, Hosna, et al.
Publicado: (2026) -
Temporal convolutional and fusional transformer model with Bi-LSTM encoder-decoder for multi-time-window remaining useful life prediction
por: Pour, Mohamadreza Akbari, et al.
Publicado: (2025) -
ABCD: All Biases Come Disguised
por: Nowak, Mateusz, et al.
Publicado: (2026) -
Custom Gradient Estimators are Straight-Through Estimators in Disguise
por: Schoenbauer, Matt, et al.
Publicado: (2024) -
Catastrophic Overfitting: A Potential Blessing in Disguise
por: Zhao, Mengnan, et al.
Publicado: (2024)