This repository contains the research paper and code related to Uniform Convergence of Lipschitz Functions with Dependent Gaussian Samples. The work provides theoretical bounds for learning Lipschitz ...

1 Immunology Graduate Program, Baylor College of Medicine, Houston, TX, United States 2 Department of Pathology, University of Utah, Salt Lake City, UT, United States Introduction: Chimeric antigen ...

A new study reveals the surprisingly convergent evolution in the inner ear of mammals. An international research team showed that a group of highly divergent mammals known as Afrotheria and distantly ...

Large Language Models (LLMs) have gained significant prominence in modern machine learning, largely due to the attention mechanism. This mechanism employs a sequence-to-sequence mapping to construct ...

You’re probably familiar with nouns as the words that name people, places, and things. But did you know that nouns don’t just label things; they also serve particular functions in a sentence?

Abstract: We consider deep neural networks (DNNs) with a Lipschitz continuous activation function and with weight matrices of variable widths. We establish a uniform convergence analysis framework in ...

I'd like to propose the inclusion of Azure Functions projects as examples within the Aspire framework. This addition would be particularly beneficial for developers and aligns well with the ...