91 citations · 219 across the 10 of their papers we have counts for
10 papers
CE-MRS: Contrastive Explanations for Multi-Robot Systems
Ethan Schneider, Daniel Wu, Devleena Das +1
As the complexity of multi-robot systems grows to incorporate a greater number of robots, more complex tasks, and longer time horizons, the solutions to such problems often become…
State2Explanation: Concept-Based Explanations to Benefit Agent Learning and User Understanding
Devleena Das, Sonia Chernova, Been Kim
As more non-AI experts use complex AI systems for daily tasks, there has been an increasing effort to develop methods that produce explanations of AI decision making that are under…
Reprogramming Pretrained Language Models for Antibody Sequence Infilling
Igor Melnyk, Vijil Chenthamarakshan, Pin-Yu Chen +4
Antibodies comprise the most versatile class of binding molecules, with numerous applications in biomedicine. Computational design of antibodies involves generating novel and diver…
Explainable Knowledge Graph Embedding: Inference Reconciliation for Knowledge Inferences Supporting Robot Actions
Angel Daruna, Devleena Das, Sonia Chernova
Learned knowledge graph representations supporting robots contain a wealth of domain knowledge that drives robot behavior. However, there does not exist an inference reconciliation…
Subgoal-Based Explanations for Unreliable Intelligent Decision Support Systems
Devleena Das, Been Kim, Sonia Chernova
Intelligent decision support (IDS) systems leverage artificial intelligence techniques to generate recommendations that guide human users through the decision making phases of a ta…
Semantic-Based Explainable AI: Leveraging Semantic Scene Graphs and Pairwise Ranking to Explain Robot Failures
Devleena Das, Sonia Chernova
When interacting in unstructured human environments, occasional robot failures are inevitable. When such failures occur, everyday people, rather than trained technicians, will be t…
Explainable Activity Recognition for Smart Home Systems
Devleena Das, Yasutaka Nishimura, Rajan P. Vivek +4
Smart home environments are designed to provide services that help improve the quality of life for the occupant via a variety of sensors and actuators installed throughout the spac…
Explainable AI for Robot Failures: Generating Explanations that Improve User Assistance in Fault Recovery
Devleena Das, Siddhartha Banerjee, Sonia Chernova
With the growing capabilities of intelligent systems, the integration of robots in our everyday life is increasing. However, when interacting in such complex human environments, th…
Explainable AI for System Failures: Generating Explanations that Improve Human Assistance in Fault Recovery
Devleena Das, Siddhartha Banerjee, Sonia Chernova
With the growing capabilities of intelligent systems, the integration of artificial intelligence (AI) and robots in everyday life is increasing. However, when interacting in such c…
Leveraging Rationales to Improve Human Task Performance
Devleena Das, Sonia Chernova
Machine learning (ML) systems across many application areas are increasingly demonstrating performance that is beyond that of humans. In response to the proliferation of such model…