On the Relationship Between Explanation and Prediction: A Causal View

13 December 2022

Papers citing "On the Relationship Between Explanation and Prediction: A Causal View"

9 / 9 papers shown

Title
A New Approach to Backtracking Counterfactual Explanations: A Causal Framework for Efficient Model Interpretability Pouria Fatemi Ehsan Sharifian Mohammad Hossein Yassaee 39 0 0 05 May 2025
Towards Locally Explaining Prediction Behavior via Gradual Interventions and Measuring Property Gradients Niklas Penzel Joachim Denzler FAtt 46 0 0 07 Mar 2025
From Flexibility to Manipulation: The Slippery Slope of XAI Evaluation Kristoffer Wickstrøm Marina M.-C. Höhne Anna Hedström AAML 79 2 0 07 Dec 2024
On The Relationship between Visual Anomaly-free and Anomalous Representations Riya Sadrani Hrishikesh Sharma Ayush Bachan 34 0 0 09 Oct 2024
How Interpretable Are Interpretable Graph Neural Networks? Yongqiang Chen Yatao Bian Bo Han James Cheng 42 4 0 12 Jun 2024
Challenges and Opportunities in Text Generation Explainability Kenza Amara R. Sevastjanova Mennatallah El-Assady SILM 24 2 0 14 May 2024
Prospector Heads: Generalized Feature Attribution for Large Models & Data Gautam Machiraju Alexander Derry Arjun D Desai Neel Guha Amir-Hossein Karimi James Zou Russ Altman Christopher Ré Parag Mallick AI4TS MedIm 41 0 0 18 Feb 2024
Finding Neurons in a Haystack: Case Studies with Sparse Probing Wes Gurnee Neel Nanda Matthew Pauly Katherine Harvey Dmitrii Troitskii Dimitris Bertsimas MILM 153 186 0 02 May 2023
Toward a Theory of Causation for Interpreting Neural Code Models David Nader-Palacio Alejandro Velasco Nathan Cooper Á. Rodríguez Kevin Moran Denys Poshyvanyk 13 13 0 07 Feb 2023