Jul 2, 2024 · We propose a two-level procedure for training the FKS by first solving the nonlinear problem of finding the optimal knot locations of the interpolating FKS.

Jul 3, 2024 · In this section, we define one-dimensional ReLU Neural Networks (NN) and free knot splines (FKS). 2.1 Deep and Shallow ReLU Neural Networks (NN).

More precisely, we combine the training of the ReLU NN with an equidistribution based loss to find the breakpoints of the ReLU functions, combined with ...

Jul 2, 2024 · Using the equidistribution principle, we propose a two-level procedure for training the FKS by first solving the nonlinear problem of finding ...

Article "Equidistribution-based training of Free Knot Splines and ReLU Neural Networks" Detailed information of the J-GLOBAL is an information service ...

[2407.02153] Equidistribution-based training of Free Knot Splines and ReLU Neural Networks · Lisa Maria · Simon R. Arridge · Chris Budd · Teo Deveney.

More precisely, we combine the training of the ReLU NN with an equidistribution based loss to find the breakpoints of the ReLU functions, combined with ...

Equidistribution-based training of Free Knot Splines and ReLU Neural Networks ... training of the ReLU NN with an equidistribution based loss to find the ...

More precisely, we combine the training of the ReLU NN with an equidistribution based loss to find the breakpoints of the ReLU functions, combined with ...

Equidistribution-based training of Free Knot Splines and ReLU Neural Networks. Appella, S., Arridge, S., Budd, C., Deveney, T. & Kreusser, L. M., 2 Jul 2024 ...