General-Kindred Physics-Informed Neural Network to the Solutions of Singularly Perturbed Differential Equationsby Sen Wang, Peizhi…
Training-Free Time-Series Anomaly Detection: Leveraging Image Foundation Modelsby Nobuo Namura, Yuma IchikawaFirst submitted to arxiv…
Learning effective pruning at initialization from iterative pruningby Shengkai Liu, Yaofeng Cheng, Fusheng Zha, Wei…
GINN-KAN: Interpretability pipelining with applications in Physics Informed Neural Networksby Nisal Ranasinghe, Yu Xia, Sachith…
Physics-Informed Neural Network for Concrete Manufacturing Process Optimizationby Sam Varghese, Rahul Anand, Gaurav PaliwalFirst submitted…
Variational autoencoder-based neural network model compressionby Liang Cheng, Peiyuan Guan, Amir Taherkordi, Lei Liu, Dapeng…
Evaluating saliency scores in point clouds of natural environments by learning surface anomaliesby Reuma Arav,…
Model Parallel Training and Transfer Learning for Convolutional Neural Networks by Domain Decompositionby Axel Klawonn,…
Evolvable Psychology Informed Neural Network for Memory Behavior Modelingby Xiaoxuan Shen, Zhihai Hu, Qirong Chen,…
1-Bit FQT: Pushing the Limit of Fully Quantized Training to 1-bitby Chang Gao, Jianfei Chen,…