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08/08/2023
Federated Inference with Reliable Uncertainty Quantification over Wireless Channels via Conformal Prediction
Consider a setting in which devices and a server share a pre-trained mod...
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06/30/2023
Bayesian Optimization with Formal Safety Guarantees via Online Conformal Prediction
Black-box zero-th order optimization is a central primitive for applicat...
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05/18/2023
SpikeCP: Delay-Adaptive Reliable Spiking Neural Networks via Conformal Prediction
Spiking neural networks (SNNs) process time-series data via internal eve...
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05/12/2023
Calibration-Aware Bayesian Learning
Deep learning models, including modern systems like large language model...
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05/12/2023
Adaptive and Flexible Model-Based AI for Deep Receivers in Dynamic Channels
Artificial intelligence (AI) is envisioned to play a key role in future ...
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04/06/2023
Quantum Conformal Prediction for Reliable Uncertainty Quantification in Quantum Machine Learning
Quantum machine learning is a promising programming paradigm for the opt...
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02/15/2023
Guaranteed Dynamic Scheduling of Ultra-Reliable Low-Latency Traffic via Conformal Prediction
The dynamic scheduling of ultra-reliable and low-latency traffic (URLLC)...
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02/05/2023
Modular Model-Based Bayesian Learning for Uncertainty-Aware and Reliable Deep MIMO Receivers
In the design of wireless receivers, DNNs can be combined with tradition...
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12/15/2022
Calibrating AI Models for Wireless Communications via Conformal Prediction
When used in complex engineered systems, such as communication networks,...
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10/29/2022
Fast-Convergent Federated Learning via Cyclic Aggregation
Federated learning (FL) aims at optimizing a shared global model over mu...
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10/29/2022
Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance
While being an effective framework of learning a shared model across mul...
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10/10/2022
Calibrating AI Models for Few-Shot Demodulation via Conformal Prediction
AI tools can be useful to address model deficits in the design of commun...
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10/06/2022
Few-Shot Calibration of Set Predictors via Meta-Learned Cross-Validation-Based Conformal Prediction
Conventional frequentist learning is known to yield poorly calibrated mo...
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07/13/2022
Continual Meta-Reinforcement Learning for UAV-Aided Vehicular Wireless Networks
Unmanned aerial base stations (UABSs) can be deployed in vehicular wirel...
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07/01/2022
Robust Bayesian Learning for Reliable Wireless AI: Framework and Applications
This work takes a critical look at the application of conventional machi...
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03/27/2022
Online Meta-Learning For Hybrid Model-Based Deep Receivers
Recent years have witnessed growing interest in the application of deep ...
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03/23/2022
Predicting Multi-Antenna Frequency-Selective Channels via Meta-Learned Linear Filters based on Long-Short Term Channel Decomposition
An efficient data-driven prediction strategy for multi-antenna frequency...
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03/03/2022
Robust PAC^m: Training Ensemble Models Under Model Misspecification and Outliers
Standard Bayesian learning is known to have suboptimal generalization ca...
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10/05/2021
Design of Spiral-Cable Forearm Exoskeleton to Provide Supination Adjustment for Hemiparetic Stroke Subjects
We present the development of a cable-based passive forearm exoskeleton,...
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10/05/2021
Thumb Assistance Via Active and Passive Exotendons in a Robotic Hand Orthosis for Stroke
We present a tendon-driven, active-extension thumb exoskeleton adding op...
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10/01/2021
Predicting Flat-Fading Channels via Meta-Learned Closed-Form Linear Filters and Equilibrium Propagation
Predicting fading channels is a classical problem with a vast array of a...
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08/02/2021
Learning to Learn to Demodulate with Uncertainty Quantification via Bayesian Meta-Learning
Meta-learning, or learning to learn, offers a principled framework for f...
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06/01/2021
Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning
The overall predictive uncertainty of a trained predictor can be decompo...
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03/24/2021
Meta-ViterbiNet: Online Meta-Learned Viterbi Equalization for Non-Stationary Channels
Deep neural networks (DNNs) based digital receivers can potentially oper...
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12/26/2020
Balance-Oriented Focal Loss with Linear Scheduling for Anchor Free Object Detection
Most existing object detectors suffer from class imbalance problems that...
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10/30/2020
Semi-Supervised Intent Inferral Using Ipsilateral Biosignals on a Hand Orthosis for Stroke Subjects
In order to provide therapy in a functional context, controls for wearab...
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03/03/2020
End-to-End Fast Training of Communication Links Without a Channel Model via Online Meta-Learning
When a channel model is not available, the end-to-end training of encode...
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01/05/2020
From Learning to Meta-Learning: Reduced Training Overhead and Complexity for Communication Systems
Machine learning methods adapt the parameters of a model, constrained to...
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11/18/2019
User-Driven Functional Movement Training with a Wearable Hand Robot after Stroke
We studied the performance of a robotic orthosis designed to assist the ...
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10/22/2019
Meta-Learning to Communicate: Fast End-to-End Training for Fading Channels
When a channel model is available, learning how to communicate on fading...
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10/22/2019
Drivers Drowsiness Detection using Condition-Adaptive Representation Learning Framework
We propose a condition-adaptive representation learning framework for th...
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08/23/2019
Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning
This paper considers an Internet-of-Things (IoT) scenario in which devic...
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03/06/2019
Learning How to Demodulate from Few Pilots via Meta-Learning
Consider an Internet-of-Things (IoT) scenario in which devices transmit ...
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07/31/2018
Multimodal Sensing and Interaction for a Robotic Hand Orthosis
Wearable robotic hand rehabilitation devices can allow greater freedom a...
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02/16/2018
Design and Development of Effective Transmission Mechanisms on a Tendon Driven Hand Orthosis for Stroke Patients
Tendon-driven hand orthoses have advantages over exoskeletons with respe...
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02/01/2018
EMG Pattern Classification to Control a Hand Orthosis for Functional Grasp Assistance after Stroke
Wearable orthoses can function both as assistive devices, which allow th...
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12/19/2017
