Southeast Asia as a region was found to have the largest share of potential dhole habitat (56%). Among individual countries, ...

Universal law derived by French physicist predicts fragment sizes using entropy & probability.A dropped plate, broken spaghetti and a smashed drinking glass all seem to follow the same law of physics ...

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 ...

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 ...

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 ...

After receiving his degree in Journalism & Media Communications from CSU in 2019, Erik began building his career in online media, and found his dream job when he joined Game Rant as a staff writer.

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 ...

The Nature Index 2024 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...

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.

Generative models can be trained to reproduce low-dimensional projections of high-dimensional phase space distributions. Normalizing flows are generative models that parameterize invertible ...