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09/18/2023
Specification-Driven Video Search via Foundation Models and Formal Verification
The increasing abundance of video data enables users to search for event...
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05/24/2023
Task-aware Distributed Source Coding under Dynamic Bandwidth
Efficient compression of correlated data is essential to minimize commun...
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03/07/2023
Data Games: A Game-Theoretic Approach to Swarm Robotic Data Collection
Fleets of networked autonomous vehicles (AVs) collect terabytes of senso...
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02/28/2023
Learning Sparse Control Tasks from Pixels by Latent Nearest-Neighbor-Guided Explorations
Recent progress in deep reinforcement learning (RL) and computer vision ...
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10/23/2022
A Control Theoretic Approach to Infrastructure-Centric Blockchain Tokenomics
There are a multitude of Blockchain-based physical infrastructure system...
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07/13/2022
Dynamic Selection of Perception Models for Robotic Control
Robotic perception models, such as Deep Neural Networks (DNNs), are beco...
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04/20/2022
Joint Learning of Reward Machines and Policies in Environments with Partially Known Semantics
We study the problem of reinforcement learning for a task encoded by a r...
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03/14/2022
Drift Reduced Navigation with Deep Explainable Features
Modern autonomous vehicles (AVs) often rely on vision, LIDAR, and even r...
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01/28/2022
Task-Aware Network Coding Over Butterfly Network
Network coding allows distributed information sources such as sensors to...
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01/26/2022
Class-Aware Generative Adversarial Transformers for Medical Image Segmentation
Transformers have made remarkable progress towards modeling long-range d...
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12/02/2021
Personalized Federated Learning of Driver Prediction Models for Autonomous Driving
Autonomous vehicles (AVs) must interact with a diverse set of human driv...
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11/08/2021
ML-EXray: Visibility into ML Deployment on the Edge
Benefiting from expanding cloud infrastructure, deep neural networks (DN...
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10/28/2021
Learning Actions for Drift-Free Navigation in Highly Dynamic Scenes
We embark on a hitherto unreported problem of an autonomous robot (self-...
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10/05/2021
Task-aware Privacy Preservation for Multi-dimensional Data
Local differential privacy (LDP), a state-of-the-art technique for priva...
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09/29/2021
Data Sharing and Compression for Cooperative Networked Control
Sharing forecasts of network timeseries data, such as cellular or electr...
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08/03/2021
Interpretable Trade-offs Between Robot Task Accuracy and Compute Efficiency
A robot can invoke heterogeneous computation resources such as CPUs, clo...
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12/12/2020
Sampling Training Data for Continual Learning Between Robots and the Cloud
Today's robotic fleets are increasingly measuring high-volume video and ...
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11/06/2020
Task-relevant Representation Learning for Networked Robotic Perception
Today, even the most compute-and-power constrained robots can measure co...
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04/03/2020
Multi-agent Reinforcement Learning for Networked System Control
This paper considers multi-agent reinforcement learning (MARL) in networ...
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02/15/2019