19,826 research outputs found
QUANTUM DISSIPATION AND QUANTUM NOISE
We derive the exact action for a damped mechanical system ( and the special
case of the linear oscillator) from the path integral formulation of the
quantum Brownian motion problem developed by Schwinger and by Feynman and
Vernon. The doubling of the phase-space degrees of freedom for dissipative
systems and thermal field theories is discussed and the initial values of the
doubled variables are related to quantum noise effects.Comment: This is a Tex file; To be published in Annals of Phys. (N.Y.) 238,
200 (1995
Generative Models For Deep Learning with Very Scarce Data
The goal of this paper is to deal with a data scarcity scenario where deep
learning techniques use to fail. We compare the use of two well established
techniques, Restricted Boltzmann Machines and Variational Auto-encoders, as
generative models in order to increase the training set in a classification
framework. Essentially, we rely on Markov Chain Monte Carlo (MCMC) algorithms
for generating new samples. We show that generalization can be improved
comparing this methodology to other state-of-the-art techniques, e.g.
semi-supervised learning with ladder networks. Furthermore, we show that RBM is
better than VAE generating new samples for training a classifier with good
generalization capabilities
Reply to "Comment on 'Light-Front Schwinger Model at Finite Temperature'"
In hep-th/0310278, Blankleider and Kvinikhidze propose an alternate thermal
propagator for the fermions in the light-front Schwinger model. We show that
such a propagator does not describe correctly the thermal behavior of fermions
in this theory and, as a consequence, the claims made in their paper are not
correct.Comment: 3pages, version to be published in Phys. Rev.
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