ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2111.12628
  4. Cited By
Efficient Decompositional Rule Extraction for Deep Neural Networks

Efficient Decompositional Rule Extraction for Deep Neural Networks

24 November 2021
Mateo Espinosa Zarlenga
Z. Shams
M. Jamnik
ArXivPDFHTML

Papers citing "Efficient Decompositional Rule Extraction for Deep Neural Networks"

5 / 5 papers shown
Title
Multi-Objective Counterfactual Explanations
Multi-Objective Counterfactual Explanations
Susanne Dandl
Christoph Molnar
Martin Binder
B. Bischl
57
258
0
23 Apr 2020
RuleMatrix: Visualizing and Understanding Classifiers with Rules
RuleMatrix: Visualizing and Understanding Classifiers with Rules
Yao Ming
Huamin Qu
E. Bertini
FAtt
62
215
0
17 Jul 2018
Local Rule-Based Explanations of Black Box Decision Systems
Local Rule-Based Explanations of Black Box Decision Systems
Riccardo Guidotti
A. Monreale
Salvatore Ruggieri
D. Pedreschi
Franco Turini
F. Giannotti
125
437
0
28 May 2018
Counterfactual Explanations without Opening the Black Box: Automated
  Decisions and the GDPR
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR
Sandra Wachter
Brent Mittelstadt
Chris Russell
MLAU
98
2,348
0
01 Nov 2017
Understanding Black-box Predictions via Influence Functions
Understanding Black-box Predictions via Influence Functions
Pang Wei Koh
Percy Liang
TDI
169
2,878
0
14 Mar 2017
1