For decades, Arieh Warshel, USC Distinguished Professor of Chemistry and a 2013 Nobel laureate, has used computer simulations to understand how enzymes—fundamental to nearly every biological process ...

Brain activities often follow an exponential family of distributions. The exponential distribution is the maximum entropy distribution of continuous random variables in the presence of a mean. The ...

ABSTRACT: Recent investigations have shown that a bivariant lognormal probability density function predicts the statistical moments and correlations of adult human height and weight so extensively and ...

1 G. A. Jarvis Prof. of Physics, Emer., Trinity College, Hartford, USA. 2 Tall Pines Research, Simsbury, USA. Recent investigations have shown that a bivariant lognormal probability density function ...

Large Language Models (LLMs) generate step-by-step responses known as Chain-of-Thoughts (CoTs), where each token contributes to a coherent and logical narrative. To improve the quality of reasoning, ...

Content alone won’t cut it. A multi-channel distribution strategy is the key to expanding your reach. Learn how to do it right. Content is everywhere. Consumers are inundated with it throughout the ...

This repository contains the implementation of the paper "Maximum Entropy Deep Inverse Reinforcement Learning" by Wulfmeier et al. [1] in PyTorch. You will also find in the notebooks directory a ...

In this paper, we explored the combination of seismic station data and ground motion prediction equations (GMPE) to predict seismic intensity results by using Bayesian Maximum Entropy (BME) method.