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# Description
I would like to create a neural CDE for regression. For that, I have taken the example from [neural CDE for classification](https://docs.kidger.site/diffrax/examples/neural_cde/) and ad…
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Hi, my time series have many features and each of them is observed at different times. How can I use latent-ode here to learn from such data? It seems the current collate_fn can be used for time serie…
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Hi, Patrick!
I'm currently training irregularly sampled data, and previously I used many to many RNN for modeling.
When time-series data is sampled at the time of t1, t2, t3, and t4, my intended mod…
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- https://github.com/jacobjinkelly/easy-neural-ode/blob/1ae0836959fe61d11b09540369f3dcd230e58565/lib/ode.py#L554-558
The return type is actually a tuple of the solution and the number of function e…
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Hello, I want to ask about the last element of s0 in the picture of algorithm 1. Why the initial value of at(t1) is -dL/dt1 but not dL/dt1? I don't understand the minus sign here.
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This issue is for more of an API discussion before I dig in to implement PINO PDE. Here I provide examples of supposed API for Physics Informed Neural operator (PINO) problem.
articles
https://…
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The first time I saw the trajectories example for neural ODE, I realized that it seems to illustrate the same pattern as the compression and expansion waves of markets:
This will be my next scr…
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We are trying to implement the Neural ODE paper as part of the [JAX/FLAX Community Week at Hugging Face](https://discuss.huggingface.co/t/open-to-the-community-community-week-using-jax-flax-for-nlp-cv…
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Create an accessible log_prob function with preprocessor argument
- for normalizing flows this is straightforward.
- for CNF neural ODE solver is necessary