ABSTRACT: We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive neural ...

This project reimplements the core ideas of 3D Gaussian Splatting in a clean, minimalist Python codebase using NVIDIA Warp. It runs on both CPU and GPU with no CUDA setup, focuses on clarity and ...

Video data owns strong dynamic features in both spatial and temporal domains. In the literature, 3D Convolutional Neural Networks (3D CNNs) serve as a successful technique to simultaneously learn the ...

Edited by Neelima R. Sinha, University of California, Davis, CA, and accepted by Editorial Board Member June B. Nasrallah on January 12, 2021 (received for review August 29, 2020). During development, ...

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