Focused crawls are collections of frequently-updated webcrawl data from narrow (as opposed to broad or wide) web crawls, often focused on a single domain or subdomain.
I am pretty new to neurodiffeq, thank you very much for the excellent library.
I am interested in the way, and the computational speed, of computing partial derivatives w.r.t. the inputs.
Take forward ODE (1D, 1 unknown variable) solver for example, the input is x, a batch of coordinates, and the output of the neural network is y, the approximated solution of the PDE at these coo
To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to the direction of travel of information in convection-diffusion equations, i.e., method of characteristic; The repository includes a pytorch implementation of PINN and proposed LPINN with periodic boundary conditions
Using cumulative infected cases data from Italy, South Korea, and USA, we simulate mitigation measures including; early detection of infectives, social distancing and contact tracing
Due to the public health intervention and public response, transmission of covid is a nonlinear time-dependent function. using cumulative infected cases data from Italy and USA, we learn time varying transmission rates.
https://arxiv.org/abs/2012.06684
@samuela is there code to share that could become a tutorial? I think it would be good to make one.