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As the 2010’s draw to a close, it’s worth taking a look back at the monumental progress that has been made in Deep Learning in this decade.
Tags: deep_learning
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Koidra is hiring top-notch machine learning research engineers (MLE) or engineering-minded ML researchers for a highly specialized research direction (`Neural Differential Equations` or `Physics-i…
zer0n updated
3 years ago
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In your paper called "Fourier Neural Operator for Parametric Partial Differential Equations", you described how you created the Burgers equation dataset on Page 15, like below:
"The initial condition…
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In https://arxiv.org/abs/2005.13420 Onken and Ruthotto conclude using some of the examples in DiffEqFlux that Disc-Opt methods can achieve similar performance to Opt-Disc at inference with drastically…
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Hi,
Thanks for your work.
I was wondering about a case like this:
You have your data which recorded between 0.0->2.0 seconds.
You try to predict the next 2 seconds aka, from 2.0 to 4.0 for ex…
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Hi, I am relatively new to using machine learning to solve ODE.
Can you kindly help me understand how to implement second-order ODE with torchdyn?
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Hi,lu:
Thanks for sharing your work on deepxde, I have a question to consult you.If I want to solve a system of partial differential equations, such as a two-dimensional NS equation. The solution is …
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It would be very useful to have Input/Output dynamical systems based on ModelingToolkit, we intend to start developing these and use this issue as a place to discuss and gather input on them, and disc…
FHell updated
3 years ago
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Is any work being done on this? - I build concrete 3D printers and I want to simulate the concrete flow with Splishsplash, but it's slow... (Intel 10850)
At the same time, my RTX 3090 is just sitti…
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Hi, I am a ML researcher and majoring in sequential VAE model.
The work ODE2VAE interests me a lot. But I have a question about the ELBO loss function in Equ(16) which is unelated to the code.
![im…