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 ...
In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...
We thank Dr. Jianzhi Zhang, Dr. Xionglei He, Dr. Weiwei Zhai, Shanshan Chen, Han Liu, Tianhan Wang, and three anonymous reviewers for valuable comments. This work was supported by the Strategic ...
The University of California has awarded $18 million in multicampus research grants, in partnership with UC-managed national laboratories, to advance the frontiers of artificial intelligence in areas ...
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 ...
Proteins, the essential molecular machinery of life, play a central role in numerous biological processes. Decoding their intricate sequence, structure, and function (SSF) is a fundamental pursuit in ...
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How to Use the SEQUENCE Function in Excel
Excel's SEQUENCE function lets you create a list of numbers in a sequence in an instant. It also allows you to define the ...
A new study reveals the surprisingly convergent evolution in the inner ear of mammals. An international research team led by Nicole Grunstra from the University of Vienna and Anne Le Maître from the ...
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