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Hi,
Thank you so much for open sourcing the paper. I was trying to reproduce the results before trying to build on top of it, and ran into some issues.
This is on a fresh install of juliapro af…
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Looking through [`neural_de.jl`](https://github.com/JuliaDiffEq/DiffEqFlux.jl/blob/master/src/neural_de.jl) it doesn't look like it'll be hard to implement a `NeuralDAE`.
I'm interested in using th…
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I'm wondering if you get give me a high-level description of what the following code is doing in crypten/mpc/primitives/arithmetic.py:324 ... I'm especially confused about why it only applies when the…
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Hi,
I was following the "Universal Differential Equations for Neural Optimal Control" example and wanted to include the neural network `ann` as an extra term in loss as follows:
```
using DiffEqF…
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Use form at: https://turingcomplete.topdesk.net/tas/public/ssp/content/serviceflow?unid=48da6fe7c46b4c7393a4cfb350b4a083&openedFromService=true
## Project title
Quantifying Utility and Privacy Pre…
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Currently FMI 2.0 provides and interface to provide partial derivatives in the form of dirctional derivatives (e.g., Jacobian J times direction vector v, Jv)
For several use cases, it would be ben…
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arXiv论文跟踪
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**Submitting author:** @feiyu-chen96 (Feiyu Chen)
**Repository:** https://github.com/odegym/neurodiffeq
**Version:** 1.0.0
**Editor:** @drvinceknight
**Reviewers:** @dawbarton, @marcharper
**Author …
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Hello @lululxvi ,
I find your package is very powerful, which can do many things on deep learning, such as fitting data which is simpler than solving and learning PDE, regression analysis of data and…
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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…