Modern neuroscience and the computational modeling of the activities of vast, integrated neural networks provide fruitful accounts of how our minds work and learn.

Abstract: Modern deep neural networks, particularly recent large language models, come with massive model sizes that require significant computational and storage ...

This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.

This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...

Abstract: Fourier ptychography (FP) is a new computational imaging technique with the advantage of being able to provide super-resolution imaging. FP has a very complex degradation process. Merging ...