Search Results for author:
Found 3 papers, 0 papers with code
Structured Pruning of Neural Networks for Constraints Learning
In recent years, the integration of Machine Learning (ML) models with Operation Research (OR) tools has gained popularity across diverse applications, including cancer treatment, algorithmic configuration, and chemical process optimization.
On the Convergence of Stochastic Gradient Descent in Low-precision Number Formats
Deep learning models are dominating almost all artificial intelligence tasks such as vision, text, and speech processing.
Deep Neural Networks pruning via the Structured Perspective Regularization
In Machine Learning, Artificial Neural Networks (ANNs) are a very powerful tool, broadly used in many applications.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
