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05/08/2023
Gaussian process deconvolution
Let us consider the deconvolution problem, that is, to recover a latent ...
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12/05/2022
Lossy Compression for Robust Unsupervised Time-Series Anomaly Detection
A new Lossy Causal Temporal Convolutional Neural Network Autoencoder for...
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12/30/2021
Studying the Interplay between Information Loss and Operation Loss in Representations for Classification
Information-theoretic measures have been widely adopted in the design of...
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10/27/2021
Data-Driven Representations for Testing Independence: Modeling, Analysis and Connection with Mutual Information Estimation
This work addresses testing the independence of two continuous and finit...
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07/11/2021
On Universal D-Semifaithful Coding for Memoryless Sources with Infinite Alphabets
The problem of variable length and fixed-distortion universal source cod...
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07/08/2021
Compressibility Analysis of Asymptotically Mean Stationary Processes
This work provides new results for the analysis of random sequences in t...
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06/13/2021
Finite-Length Bounds on Hypothesis Testing Subject to Vanishing Type I Error Restrictions
A central problem in Binary Hypothesis Testing (BHT) is to determine the...
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01/14/2021
Data Science for Engineers: A Teaching Ecosystem
We describe an ecosystem for teaching data science (DS) to engineers whi...
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10/28/2019
