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04/17/2023
Metrics for Bayesian Optimal Experiment Design under Model Misspecification
The conventional approach to Bayesian decision-theoretic experiment desi...
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12/29/2022
Shared Cache Coded Caching Schemes Using Designs and Circuits of Matrices
In this paper, we study shared cache coded caching (SC-CC): a set of cac...
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04/27/2022
Variational Kalman Filtering with Hinf-Based Correction for Robust Bayesian Learning in High Dimensions
In this paper, we address the problem of convergence of sequential varia...
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03/16/2022
Adaptive n-ary Activation Functions for Probabilistic Boolean Logic
Balancing model complexity against the information contained in observed...
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02/11/2022
Multi-Access Coded Caching Schemes from Maximal Cross Resolvable Designs
We study the problem of multi-access coded caching (MACC): a central ser...
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03/27/2020
Combining Visible and Infrared Spectrum Imagery using Machine Learning for Small Unmanned Aerial System Detection
Advances in machine learning and deep neural networks for object detecti...
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01/15/2019