Channel modelling is essential to designing modern wireless communicatio...
The field of image generation has made significant progress thanks to th...
Modern reinforcement learning (RL) often faces an enormous state-action
...
Black box optimisation of an unknown function from expensive and noisy
e...
Kernel-based models such as kernel ridge regression and Gaussian process...
An interesting observation in artificial neural networks is their favora...
Consider the sequential optimization of a continuous, possibly non-conve...
Biological agents are known to learn many different tasks over the cours...
Meta-learning models transfer the knowledge acquired from previous tasks...
In meta-learning, the knowledge learned from previous tasks is transferr...
Deep learning models require a large amount of data to perform well. Whe...
In Convolutional Neural Networks (CNNs) information flows across a small...
A specific type of neural network, the Restricted Boltzmann Machine (RBM...