PAODING: A High-fidelity Data-free Pruning Toolkit for Debloating Pre-trained Neural Networksby Mark Huasong Meng, Hao…
Utilizing Machine Learning and 3D Neuroimaging to Predict Hearing Loss: A Comparative Analysis of Dimensionality…
Discovering intrinsic multi-compartment pharmacometric models using Physics Informed Neural Networksby Imran Nasim, Adam NasimFirst submitted…
On Training a Neural Network to Explain Binariesby Alexander Interrante-Grant, Andy Davis, Heather Preslier, Tim…
Flight Trajectory Prediction Using an Enhanced CNN-LSTM Networkby Qinzhi Hao, Jiali Zhang, Tengyu Jing, Wei…
Enhancing Uncertain Demand Prediction in Hospitals Using Simple and Advanced Machine Learningby Annie Hu, Samuel…
Optimal time sampling in physics-informed neural networksby Gabriel TuriniciFirst submitted to arxiv on: 29 Apr…
Learning Governing Equations of Unobserved States in Dynamical Systemsby Gevik Grigorian, Sandip V. George, Simon…
AdaFSNet: Time Series Classification Based on Convolutional Network with a Adaptive and Effective Kernel Size…
TabVFL: Improving Latent Representation in Vertical Federated Learningby Mohamed Rashad, Zilong Zhao, Jeremie Decouchant, Lydia…