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Dear team,
I just found out the example here [Training Neural Networks in Hybrid Differential Equations](https://diffeqflux.sciml.ai/dev/examples/hybrid_diffeq/#Training-Neural-Networks-in-Hybrid-D…
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Hi Patrick,
I'm really interested in your work and while I was reading the neural CDE paper carefully I came across this subsection where you compare neural CDEs to seemingly alternative neural OD…
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Found a bunch of repeated words, many of which appear to be erroneous (e.g. "An event is an an element"). I haven't checked all of them though.
Repeated token 'an' at:
discuss in Section 2.1.1.4…
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Hi, Patrick,
Thanks a lot for your nice work and detailed code comments! I have a very naive question: why do not use pytorch autograd directly for backward process? Since I see the tensor operatio…
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Hi! My question is probably superfluous because it is very identical to issue #321. However, I am still having issues with my output after trying some of the suggestions given in the answers. The part…
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### 🎯 Describe what you'd like
The physical properties of each spectral line can be thought of as tunable parameters--- adjustable within the uncertain of their published values, with some molecula…
gully updated
2 years ago
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Dear lulu,DeepXDE is a great tool.However, I have some questions. I am solving a 2-dimensional heat equation, and I want to use spatial coordinates and boundary conditions as input to the neural netw…
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**Submitting author:** @tiagoseq (Tiago Sequeira)
**Repository:** https://github.com/tiagoseq/NeuralFieldEq.jl
**Branch with paper.md** (empty if default branch):
**Version:** v0.1.3
**Editor:** @jar…
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The Euler and fixed-step RK4 integrators should be re-made into a new fixed-step integrator method that takes (amongst others) a Butcher tableau as input.
The Euler and RK4 integrators can then be …