|
David BarberAI areas: Probabilistic modelling and reasoning, approximate inference, generative models, deep learning, reinforcement learning, natural language processing, AI for medical imaging, privacy and explainable AI david.barber@ucl.ac.uk View David Barber's profile Available to take on new students in 2023: Yes |
Paolo BaruccaAI areas: Statistical learning theory, machine learning theory p.barucca@ucl.ac.uk View Paolo Barucca's Profile Available to take on new students in 2023: No |
Polina BayvelAI areas: Applied AI for the design of high-capacity, low delay optical networks for the cloud, inc reinforcement learning, graph neural networks and message passing approaches p.bayvel@ucl.ac.uk View Polina Bayvel's profile Available to take on new students in 2023: No |
Peter BentleyAI areas: Bio-inspired computation, evolutionary computation, optimisation (GAs, PSO, QD), representation learning, generative methods (VAEs GANs), agent-based modelling peter.bentley@ucl.ac.uk View Peter Bentley's profile Available to take on new students in 2023: Yes |
Nadia BerthouzeAI areas: Affective Computing, Affective expressions detection, Body movement, Affective touch, AI for physical rehabilitation, AI for sustainability, AI for wellbeing n.berthouze@ucl.ac.uk View Nadia Berthouze's profile Available to take on new students in 2023: No |
Alexandros BeskosAI areas: Probabilistic Modelling and Uncertainty Quantification, Bayesian computation, Signal Processing, Financial Statistics a.beskos@ucl.ac.uk View Alexandros Beskos' profile Available to take on new students in 2023: No |
Francois-Xavier Briol Ai areas: Bayesian machine learning, Kernel Methods, Transfer Learning f.briol@ucl.ac.uk View Francois-Xavier Briol's profile Available to take on new students in 2023: No |
Ilija Bogunovic Ai areas: Bayesian and bandit optimization, reinforcement learning, multi-agent learning, active learning, experimental design i.bogunovic@ucl.ac.uk View Ilija Bogunovic's profile Available to take on new students in 2023: Yes |
Gabriel BrostowAI areas: Computer Vision. Interactive computer perception, learning from demonstrations, self-supervised learning, smart interfaces for both natural sciences and for creativity tasks. g.brostow@ucl.ac.uk View Gabriel Brostow's profile Available to take on new students in 2023: Yes |
Neil BurgessAI areas: Model-based reinforcement learning/Navigation/Memory n.burgess@ucl.ac.uk View Neil Burgess's profile Available to take on new students in 2023: No |