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cs.LG2025
Scalable Strategies for Continual Learning with Replay
Truman Hickok
Future deep learning models will be distinguished by systems that perpetually learn through interaction, imagination, and cooperation, blurring the line between training and infere…
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…