The RV system is the first system to merge the benefits of Runtime Monitoring with Predictive Analysis. The Runtime Monitoring portion of RV is based on the successful Monitoring O...
Learning goal-scoring behaviour from scratch for simulated robot soccer is considered to be a very difficult problem, and is often achieved by endowing players with an innate set ...
This paper highlights the crucial role that modern machine learning techniques can play in the optimization of treatment strategies for patients with chronic disorders. In particu...
Arthur Guez, Robert D. Vincent, Massimo Avoli, Joe...
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
Abstract. We propose a flexible method for verifying the security of ML programs that use cryptography and recursive data structures. Our main applications are X.509 certificate ch...