In the August 1 issue of Nature I took with me to Japan, there were many entries of interest. The first pages included a tribune (“personal take on events”) by a professor of oceanography calling for a stop to the construction of the TMT telescope on the Mauna Kea mountain. While I am totally ignorant […]
Category: deep learning
Hyppocratic oath for maths?
On a free day in Nachi-Taksuura, I came across this call for a professional oath for mathematicians (and computer engineers and scientists in related fields) . By UCL mathematician Hannah Fry. The theme is the same as with Weapons of math destruction, namely that algorithms have a potentially huge impact on everyone’s life and that […]
deep learning in Toulouse [post-doc position]
An opening for an ERC post-doc position on Bayesian deep learning with Cédric Févotte in Toulouse.
tenure track position in Clermont, Auvergne
My friend Arnaud Guillin pointed out this opening of a tenure-track professor position at his University of Clermont Auvergne, in Central France. With specialty in statistics and machine-learning, especially deep learning. The deadline for applications is 12 May 2019. (Tenure-track positions are quite rare in French universities and this offer includes a limited teaching load […]
deep and embarrassingly parallel MCMC
Diego Mesquita, Paul Blomstedt, and Samuel Kaski (from Helsinki, like the above picture) just arXived a paper on embarrassingly parallel MCMC. Following a series of papers discussed on this ‘og in the past. They use a deep learning approach of Dinh et al. (2017) to the computation of the probability density of a convoluted and […]