Artificial intelligence (AI) systems, particularly artificial neural networks, have proved to be highly promising tools for ...
golf is a small Python package built with JAX and Equinox for fitting continuous piecewise-linear functions (splines) to 1D data. It provides a differentiable model representing a continuous piecewise ...
In this study, we propose an exact method for optimizing a linear function over the efficient set of a multi-objective transportation problem (MOTP). This type of problem arises when a decision maker ...
Abstract: Designing devices with memristor arrays requires simultaneous simulations of a large number of memristors. The use of detailed physical models limits the size of memristor arrays during ...
Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...
The use of Linear Complementarity Problems (LCP) is a powerful method for modeling switched systems, particularly in the context of power electronic circuits. Switched circuits are ubiquitous in ...
Fritz Haber Center for Molecular Dynamics and Institute of Chemistry, The Hebrew University of Jerusalem, 9190401 Jerusalem, Israel ...
This repository contains authors' implementation of PPLNs: Parametric Piecewise Linear Networks for Event-Based Temporal Modeling and Beyond. Our implementation uses the PyTorch library. We warmly ...
Unsupervised learning based on restricted Boltzmann machine or autoencoders has become an important research domain in the area of neural networks. In this paper mathematical expressions to adaptive ...
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