Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Wessels, David R"'
Autor:
Knigge, David M., Wessels, David R., Valperga, Riccardo, Papa, Samuele, Sonke, Jan-Jakob, Gavves, Efstratios, Bekkers, Erik J.
Recently, Conditional Neural Fields (NeFs) have emerged as a powerful modelling paradigm for PDEs, by learning solutions as flows in the latent space of the Conditional NeF. Although benefiting from favourable properties of NeFs such as grid-agnostic
Externí odkaz:
http://arxiv.org/abs/2406.06660
Autor:
Wessels, David R, Knigge, David M, Papa, Samuele, Valperga, Riccardo, Vadgama, Sharvaree, Gavves, Efstratios, Bekkers, Erik J
Recently, Neural Fields have emerged as a powerful modelling paradigm to represent continuous signals. In a conditional neural field, a field is represented by a latent variable that conditions the NeF, whose parametrisation is otherwise shared over
Externí odkaz:
http://arxiv.org/abs/2406.05753