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cs.LG2025
Nonlocal Neural Tangent Kernels via Parameter-Space Interactions
Sriram Nagaraj, Vishakh Hari
The Neural Tangent Kernel (NTK) framework has provided deep insights into the training dynamics of neural networks under gradient flow. However, it relies on the assumption that th…
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…