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, ...
The prospective candidates of the GATE 2026 Physics (PH) exam must familiarise themselves with the GATE Physics syllabus. The ...
Abstract: We consider the problem of online sparse linear approximation, where a learner sequentially predicts the best sparse linear approximations of an as yet unobserved sequence of measurements in ...
This project proposes an approximation of solutions to the radiative transfer equation using the Monte Carlo method. It provides solutions for acoustic waves and elastic waves, both in 2D and 3D, and ...
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