Abstract: Implicit neural representations (INRs) aim to learn a continuous function (i.e., a neural network) to represent an image, where the input and output of the function are pixel coordinates and ...

In statistics, the score function is the gradient of the log-likelihood function with respect to the parameters, used to measure the sensitivity of the likelihood function to the parameters. The score ...

Official Eval Board w/ provided LCD. Function EV Board v1.5.2 HMI SubBoard v1.2 I've been able to write/build/flash my own simple LED Blink program code running in a simple RTOS task (ESP-IDF v5.5.1) ...

Abstract: Artificial neural networks (ANNs) rely significantly on activation functions for optimal performance. Traditional activation functions such as ReLU and Sigmoid are commonly used. However, ...