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Thanks for sharing with your great work!
First, I will describe my problem. I want to use some generative model (VAEAC or CVAE) to predict future trajectory, say 3 seconds, given the past 2 seconds…
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Jurafsky, Daniel and James H. Martin. 2015. _Speech and Language Processing_. Chapters 6 & 7 ([“Vector Semantics and Embeddings”](https://web.stanford.edu/~jurafsky/slp3/6.pdf), [“Neural Networks and …
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Hi,
The doctoring for `autograd.signal.convolve` doesn't say much:
```
Wraps a function so that its gradient can be specified and its invocation
can be recorded. For examples, see the docs.
```
…
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Click to expand!
### Issue Type
Bug
### Have you reproduced the bug with TF nightly?
No
### Source
binary
### Tensorflow Version
2.10.0, 2.13.0
### Custom Code
Yes
…
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In the docs it says "You do not need to backpropagate through the differential equation." for UBP usage. However, this doesn't seem to be theoretically necessary, you can just backprop through the sol…
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This is a very interesting work based on deep learning, but the title is misleading, it is NOT a number plate recognition because no individual character detection and recognition are performed at al…
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Performance-profiling the GoK Chess project at https://turbowarp.org/148769358 via Google dev tools, it shows that a significant amount of time is spent on list items access, mostly listGet() and list…
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The intent of this issue is to characterize the problem while leaving the choice of implementation strategies wide open. If the problem is characterized as to arbitrarily narrow the choice of impleme…
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Hello SciML team !
I have been using NeuralPDE for a few months as part of my thesis. The challenge I am facing is the need to solve both inverse and direct PDE problems in various complex geometri…