3 papers
math.NA2024
Marrying Compressed Sensing and Deep Signal Separation
Truman Hickok, Sriram Nagaraj
Blind signal separation (BSS) is an important and challenging signal processing task. Given an observed signal which is a superposition of a collection of unknown (hidden/latent) s…
cs.LG2024
Physics Informed Machine Learning (PIML) methods for estimating the remaining useful lifetime (RUL) of aircraft engines
Sriram Nagaraj, Truman Hickok
This paper is aimed at using the newly developing field of physics informed machine learning (PIML) to develop models for predicting the remaining useful lifetime (RUL) aircraft en…
cs.LG2024
BrowNNe: Brownian Nonlocal Neurons & Activation Functions
Sriram Nagaraj, Truman Hickok
It is generally thought that the use of stochastic activation functions in deep learning architectures yield models with superior generalization abilities. However, a sufficiently…