All Outputs (2)

Counterfactual Explanation and Causal Inference In Service of Robustness in Robot Control (2020)
Presentation / Conference Contribution
Smith, S. C., & Ramamoorthy, S. (2020). Counterfactual Explanation and Causal Inference In Service of Robustness in Robot Control. In 2020 Joint IEEE 10th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob). https:/

We propose an architecture for training generative models of counterfactual conditionals of the form, `can we modify event A to cause B instead of C?', motivated by applications in robot control. Using an `adversarial training' paradigm, an image-bas... Read More about Counterfactual Explanation and Causal Inference In Service of Robustness in Robot Control.

Semi-supervised learning from demonstration through program synthesis: An inspection robot case study (2020)
Presentation / Conference Contribution
Smith, S. C., & Ramamoorthy, S. (2020). Semi-supervised learning from demonstration through program synthesis: An inspection robot case study. In R. C. Cardoso, A. Ferrando, D. Briola, C. Menghi, & T. Ahlbrecht (Eds.), Proceedings of the First Workshop on

Semi-supervised learning improves the performance of supervised machine learning by leveraging methods from unsupervised learning to extract information not explicitly available in the labels. Through the design of a system that enables a robot to le... Read More about Semi-supervised learning from demonstration through program synthesis: An inspection robot case study.