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Counterfactual Explanation and Causal Inference in Service of Robustness
  in Robot Control
v1v2 (latest)

Counterfactual Explanation and Causal Inference in Service of Robustness in Robot Control

Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob), 2020
18 September 2020
Simón C. Smith
S. Ramamoorthy
ArXiv (abs)PDFHTML

Papers citing "Counterfactual Explanation and Causal Inference in Service of Robustness in Robot Control"

5 / 5 papers shown
Title
Realistic Counterfactual Explanations for Machine Learning-Controlled Mobile Robots using 2D LiDAR
Realistic Counterfactual Explanations for Machine Learning-Controlled Mobile Robots using 2D LiDAREuropean Control Conference (ECC), 2025
Sindre Benjamin Remman
A. Lekkas
327
0
0
11 May 2025
Causality from Bottom to Top: A Survey
Causality from Bottom to Top: A Survey
Abraham Itzhak Weinberg
Cristiano Premebida
Diego Resende Faria
CML
183
5
0
17 Mar 2024
Attainment Regions in Feature-Parameter Space for High-Level Debugging
  in Autonomous Robots
Attainment Regions in Feature-Parameter Space for High-Level Debugging in Autonomous RobotsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Simón C. Smith
S. Ramamoorthy
107
2
0
06 Aug 2021
If Only We Had Better Counterfactual Explanations: Five Key Deficits to
  Rectify in the Evaluation of Counterfactual XAI Techniques
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI TechniquesInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Mark T. Keane
Eoin M. Kenny
Eoin Delaney
Barry Smyth
CML
230
162
0
26 Feb 2021
Counterfactual Explanations and Algorithmic Recourses for Machine
  Learning: A Review
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A ReviewACM Computing Surveys (ACM CSUR), 2020
Sahil Verma
Varich Boonsanong
Minh Hoang
Keegan E. Hines
John P. Dickerson
Chirag Shah
CML
628
228
0
20 Oct 2020
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