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https://arxiv.org/abs/2002.08071
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I am trying to use Deep Galerkin Method (DGM) to solve high dimensional PDEs and I face a problem. For illustrative purposes, I am posting a simple optimization problem below. The feed-forward network…
ghost updated
3 years ago
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## Keyword: sgd
### A Convergence Theory for Federated Average: Beyond Smoothness
- **Authors:** Authors: Xiaoxiao Li, Zhao Song, Runzhou Tao, Guangyi Zhang
- **Subjects:** Machine Learning (cs.LG);…
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With this issue I would like to get the discussion about a PDE/PDAE interface for the DifferentialEquations.jl ecosystem started.
I should also note that I might be quite biased, because I am also…
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@scaomath, @zongyi-li
Hi everyone,
Any idea how we can replace MLP in FNO with convolutional layer for 2D Darcy flow?
https://github.com/neural-operator/fourier_neural_operator/blob/master/fourier…
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There are a couple of issues which might be good to discuss:
1. RB and sys-mor parts use reductors differently (sys-mor methods consist of instantiating a reductor and calling its `reduce` method, …
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Planned features:
- [ ] Redesign of the `plotting` API. More modular and less convoluted.
- [x] Add more basis functions for Galerkin Neural ODEs (e.g. RBFs)
- [ ] Base plug-and-play regularization…
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In order to more easily judge how Fortran developers actually use Fortran in real production codes (this can be useful for issues like #25), let's maintain a list of popular open source Fortran projec…
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**Submitting author:** @briandesilva (Brian de Silva)
**Repository:** https://github.com/dynamicslab/pysindy
**Version:** v0.12.0
**Editor:** @terrytangyuan
**Reviewers:** @sixpearls, @dawbarton
**Ma…