Quantum statistical physics: A new approach

Quantum Physics: A Case for Anti-Realism?

A New Approach to Monte Carlo Simulations in Statistical Physics

We describe a new algorithm that approaches Monte Carlo simulation in statistical physics in a different way. Instead of sampling the probability distribution at a fixed temperature, a random walk is performed in energy space to directly extract an estimate for the density of states. The canonical probability can then be found at any temperature by weighting by the appropriate Boltzmann factor,...

quantum physics: a case for anti-realism?

the aim of the present paper is to sbo» that anti-realism in science, 1vhich has a1;guab/y become more fashionable in recentyears, contrary to tuha: its proponents assert, cannot make use of quantum mechanics and its impressiue achievements as a frump card in justifying its claims. i will argue that scientific anti-realism far from providing scientific communiry with a progressive methodologica...

Neural Networks : a Statistical Physics Approach

This contribution introduce the formalism and some important results specific of the statistical physics approach to neural network modeling.

Semi-Supervised Learning -- A Statistical Physics Approach

We present a novel approach to semisupervised learning which is based on statistical physics. Most of the former work in the field of semi-supervised learning classifies the points by minimizing a certain energy function, which corresponds to a minimal k-way cut solution. In contrast to these methods, we estimate the distribution of classifications, instead of the sole minimal k-way cut, which ...