Curvature-Based Piecewise Linear Approximation Method of GELU Activation Function in Neural Networks
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, ...
Abstract: This study is concerned with the problem of stability of two-dimensional (2-D) continuous systems in Roesser model, based on the Generalized Kalman-Yakubovich-Popov lemma combined with the ...
It’s not about a single fix or one-time initiative, but about embedding learning into the DNA of how public systems operate.
Dexterity, coordination and balance are all extremely important throughout our lives, but these skills change between early ...
Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management.
(Our code has been tested on Ubuntu 20.04, python 3.10, torch 1.13.1, CUDA 11.7 and RTX 3090) We provide processed data for training CGF which can be downloaded from here and unzip it under ...
1 Department of Paraclinical Sciences, Faculty of Veterinary Medicine, Norwegian University of Life Sciences, Ås, Norway 2 Department of Biosciences, University of Oslo, Oslo, Norway The full-length ...
If you find our work useful in your research, please cite: @inproceedings{chen2021learning, title={Learning continuous image representation with local implicit image function}, author={Chen, Yinbo and ...
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