ABSTRACT: Variational methods are highly valuable computational tools for solving high-dimensional quantum systems. In this paper, we explore the effectiveness of three variational methods: density ...

Yale Cardiovascular Research Center, Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut 06511,United States Yale Stem Cell Center, New ...

Ensuring the safety and ethical behavior of large language models (LLMs) in responding to user queries is of paramount importance. Problems arise from the fact that LLMs are designed to generate text ...

This conceptual guide gives a brief overview of OFT and BOFT, a parameter-efficient fine-tuning technique that utilizes orthogonal matrix to multiplicatively transform the pretrained weight matrices.

This paper proposes a novel shrinkage estimator for high-dimensional covariance matrices by extending the Oracle Approximating Shrinkage (OAS) of Chen et al. (2009) to target the diagonal elements of ...

The recent developments in the field of Artificial Intelligence, especially the introduction of Large Language Models, have paved the way for AI in almost every domain. Foundation models, such as ...

Despite the wild success of ChatGPT and other large language models, the artificial neural networks (ANNs) that underpin these systems might be on the wrong track. For one, ANNs are “super ...