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 […]

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 […]