Speaker: Prof. Peter Tiňo (University of Birmingham). Title: Learning from Temporal Data Using State Space Models. Abstract: State space modelling is a popular approach to processing data with tempora
Speaker: Prof Alessandro Abate (University of Oxford) Title: Certified learning, or learning for verification? Abstract: We are witnessing an inter-disciplinary convergence between areas underpinned b
People love to argue. In recent years, Artificial Intelligence has achieved great advances in modelling natural language argumentation. While analysing and creating arguments is a highly complex...
Differential equations describe the evolution of a system’s state, and are widely applied in natural sciences. Deep learning, on the other hand, is based on learning a sequential of the input...
Ophthalmology is among the most technology-driven of the all the medical specialties, with treatments utilizing high-spec medical lasers and advanced microsurgical techniques, and diagnostics...
Graphs provide a natural abstraction to model relational and strategic data in domains as diverse as biology (e.g., molecules), multiagent settings (e.g., online vendors on ecommerce platforms)...