amirgholami / anode Goto Github PK
View Code? Open in Web Editor NEW[IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs
License: MIT License
[IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs
License: MIT License
Hello, thank you for the code!
Couldn't you clarify, please, which discretization scheme did you use to obtain a table from README (Euler/RK2/RK4)?
In the original paper I've found only information about Nt (namely Nt = 2 in this experiment), but no info about whether it is Euler or RK.
Thank you!
Julia
Hi, Nice work. I wonder if the code for ANODE v2 is also published? Thanks a lot.
Line 87 in 553da62
I am a bit confused about Fig 1., how can I generate these feature maps with both NEURALODE and ANODE.
Thanks
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