Automated email sequences are sent to users after they take specific actions, such as signing up for an email newsletter or completing a purchase. These perfectly timed and crafted emails may seem ...
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 ...
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 ...
This AI Paper Introduces Rational Transfer Function: Advancing Sequence Modeling with FFT Techniques
State-space models (SSMs) are crucial in deep learning for sequence modeling. They represent systems where the output depends on both current and past inputs. SSMs are widely applied in signal ...
Lipids are fatty compounds that perform a range of essential functions in the body. Phospholipids, steroids, and triglycerides are examples of lipids. Although lipids play an essential role in the ...
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