Cardiac fluid dynamics fundamentally involves interactions between compl...
We introduce functional diffusion processes (FDPs), which generalize
tra...
Score-based diffusion models are a class of generative models whose dyna...
This paper introduces a sharp-interface approach to simulating
fluid-str...
We develop a novel method for carrying out model selection for Bayesian
...
The emergence of robot-based body augmentation promises exciting innovat...
The Bayesian treatment of neural networks dictates that a prior distribu...
Variational inference techniques based on inducing variables provide an
...
Variational inference offers scalable and flexible tools to tackle
intra...
Over-parameterized models, such as DeepNets and ConvNets, form a class o...
Stochastic variational inference is an established way to carry out
appr...