The field of generative models has recently witnessed significant progre...
Combining Gaussian processes with the expressive power of deep neural
ne...
Designing machine learning architectures for processing neural networks ...
Vertical distributed learning exploits the local features collected by
m...
Bayesian models have many desirable properties, most notable is their ab...
In Multi-task learning (MTL), a joint model is trained to simultaneously...
Federated learning aims to learn a global model that performs well on cl...
Gaussian processes (GPs) are non-parametric, flexible, models that work ...
Self-supervised learning (SSL) allows to learn useful representations fr...