Manuela Veloso

Detecting and Correcting Model Anomalies in Subspaces of Robot Planning Domains

2015

Making decisions based on accurate models enables robots to exploit domain knowledge to act intelligently. However, in many realistic domains, it is impossible to have globally accurate models, as the world may exhibit modes of …

Adaptive Interaction of Persistent Robots to User Temporal Preferences

2015 · Lecture notes in computer science

We look at the problem of enabling a mobile service robot to autonomously adapt to user preferences over repeated interactions in a long-term time frame, where the user provides feedback on every interaction in the …

Model-Based Adaptation for Robotics Software

2019 · IEEE Software

We developed model-based adaptation, an approach that leverages models of software and its environment to enable automated adaptation. The goal of our approach is to build long-lasting software systems that can effectively adapt to changes …

Tradeoffs in streaming binary classification under limited inspection resources

2021

Institutions are increasingly relying on machine learning models to identify and alert on abnormal events, such as fraud, cyber attacks and system failures. These alerts often need to be manually investigated by specialists. Given the …

Learn to explain yourself, when you can: Equipping Concept Bottleneck Models with the ability to abstain on their concept predictions

2022 · arXiv (Cornell University)

The Concept Bottleneck Models (CBMs) of Koh et al. [2020] provide a means to ensure that a neural network based classifier bases its predictions solely on human understandable concepts. The concept labels, or rationales as …