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ConSim: Measuring Concept-Based Explanations' Effectiveness with Automated Simulatability
v1v2v3v4 (latest)

ConSim: Measuring Concept-Based Explanations' Effectiveness with Automated Simulatability

10 January 2025
Antonin Poché
Alon Jacovi
Agustin Picard
Victor Boutin
Fanny Jourdan
ArXiv (abs)PDFHTML

Papers citing "ConSim: Measuring Concept-Based Explanations' Effectiveness with Automated Simulatability"

4 / 4 papers shown
Title
Capturing Polysemanticity with PRISM: A Multi-Concept Feature Description Framework
Capturing Polysemanticity with PRISM: A Multi-Concept Feature Description Framework
Laura Kopf
Nils Feldhus
Kirill Bykov
P. Bommer
Anna Hedström
Marina M.-C. Höhne
Oliver Eberle
30
0
0
18 Jun 2025
Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models
Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models
Thomas Fel
Ekdeep Singh Lubana
Jacob S. Prince
M. Kowal
Victor Boutin
Isabel Papadimitriou
Binxu Wang
Martin Wattenberg
Demba Ba
Talia Konkle
78
8
0
18 Feb 2025
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
1.3K
22,379
0
22 May 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
1.3K
17,237
0
16 Feb 2016
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