search

SciML / SciMLBenchmarks.jl

Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
https://docs.sciml.ai/SciMLBenchmarksOutput/stable/
MIT License
319 stars 84 forks source link

Integro-differential equation PINN solver benchmark #354

Open killah-t-cell opened 2 years ago

killah-t-cell commented 2 years ago

Would be great to have a benchmark for IDE PINNs.

killah-t-cell commented 2 years ago

Specially since IDEs are much slower than PDEs in NeuralPDE (training sometimes goes from 1 minute to 1 hour by adding one integral). This is to be expected as we discussed, but it would be cool to have a benchmark as a way of checking speed and accuracy against other methods.

Spinachboul commented 7 months ago

@killah-t-cell Then it would require benchmarks which have some kind of noise factor. But we cant have muti-dimensional problems