The original" Seven Motifs" set forth a roadmap of essential methods for the field of scientific
computing, where a motif is an algorithmic method that captures a pattern of computation …

Recent advances in connectomics research enable the acquisition of increasing amounts of
data about the connectivity patterns of neurons. How can we use this wealth of data to …

We demonstrate an approach to replicate and forecast the spread of the SARS-CoV-2
(COVID-19) pandemic using the toolkit of probabilistic programming languages (PPLs). Our …

Complex dynamical systems are found across various scientific disciplines, representing
phenomena like atmospheric and oceanic behavior, brain activity, robot state in its …

Since the deep learning revolution, a general trend in machine learning literature has been
that large, deep models will consistently outperform small, shallow models. This trend …

Differentiable programming and design optimization Page 1 Differentiable programming and
design optimization Atılım Güneş Baydin gunes@robots.ox.ac.uk First MODE Workshop on …