output
19962026
most citedAn Introduction to Convolutional Neural Networks

951 citations

Showing 2017Show all

27 papers · 1 filter

quant-ph2017★ 7 cited

Can Quantum Markov Evolutions Ever Be Dynamically Decoupled?

J. E. Gough, H. I. Nurdin

We consider the class of quantum stochastic evolutions (-models) leading to a quantum dynamical semigroup over a fixed quantum mechanical system (taken to be finite-dimensiona…

astro-ph.SR2017★ 75 cited

ExoMol line lists XXIV: A new hot line list for silicon monohydride, SiH

Sergei N. Yurchenko, Frances Sinden, Lorenzo Lodi +3

SiH has long been observed in the spectrum of our Sun and other cool stars. Computed line lists for the main isotopologues of silicon monohydride, SiH, SiH, Si…

quant-ph2017★ 2 cited

The Gisin-Percival Stochastic Schrödinger Equation from Standard Quantum Filtering Theory

John E. Gough

We show that the quantum state diffusion equation of Gisin and Percival, driven by complex Wiener noise, is equivalent up to a global stochastic phase to quantum trajectory models.…

cond-mat.soft2017★ 6 cited

When is a surface foam-phobic or foam-philic?

Miguel A. C. Teixeira, Steve Arscott, Simon J. Cox +1

By integrating the Young-Laplace equation, including the effects of gravity, we have calculated the equilibrium shape of the two-dimensional Plateau borders along which a vertical…

cond-mat.soft2017

Redirection of a crack driven by viscous fluid

Monika Perkowska, Andrea Piccolroaz, Michal Wrobel +1

As shown by Wrobel et al. (2017), the hydraulically induced tangential traction on fracture walls changes local displacement and stress fields. This resulted in the formulation of…

stat.OT2017★ 7 cited

Replacing P values with frequentist posterior probabilities - as possible parameter values must have uniform base-rate prior probabilities by definition in a random sampling model

Huw Llewelyn

Possible parameter values in a random sampling model are shown by definition to have uniform base-rate prior probabilities. This allows a frequentist posterior probability distribu…