This talk will explore safe reinforcement learning for critical applications.
This talk discusses verification of neural systems in safety-critical applications.
A series of talks showcasing the relevance of mathematical modelling, machine learning, and robotics, to address some of the most pressing challenges in conservation science.
This workshop aims to bring together researchers in stochastic analysis, statistics and theoretical machine learning for an exchange of ideas at the forefront of the field. The
Join the winter edition of Multi-Service Networks workshop, which will cover all aspects of networked systems.
