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03/17/2023
Autonomic Architecture for Big Data Performance Optimization
The big data software stack based on Apache Spark and Hadoop has become ...
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03/12/2023
Certifiably-correct Control Policies for Safe Learning and Adaptation in Assistive Robotics
Guaranteeing safety in human-centric applications is critical in robot l...
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03/08/2023
Safe Robot Learning in Assistive Devices through Neural Network Repair
Assistive robotic devices are a particularly promising field of applicat...
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09/28/2021
Local Repair of Neural Networks Using Optimization
In this paper, we propose a framework to repair a pre-trained feed-forwa...
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03/30/2021
Trees, Forests, Chickens, and Eggs: When and Why to Prune Trees in a Random Forest
Due to their long-standing reputation as excellent off-the-shelf predict...
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03/07/2020
Getting Better from Worse: Augmented Bagging and a Cautionary Tale of Variable Importance
As the size, complexity, and availability of data continues to grow, sci...
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12/05/2019
Clone Swarms: Learning to Predict and Control Multi-Robot Systems by Imitation
In this paper, we propose SwarmNet – a neural network architecture that ...
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11/01/2019
Randomization as Regularization: A Degrees of Freedom Explanation for Random Forest Success
Random forests remain among the most popular off-the-shelf supervised ma...
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11/26/2017
Personalized and Occupational-aware Age Progression by Generative Adversarial Networks
Face age progression, which aims to predict the future looks, is importa...
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11/26/2017