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Note: I have deleted my original post and replaced it with the note here. My post concerned the tutorial [Neural Stochastic Differential Equations](https://docs.juliahub.com/DiffEqSensitivity/02xYn/6.…
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## Keyword: sgd
There is no result
## Keyword: optimization
### A Model-Constrained Tangent Manifold Learning Approach for Dynamical Systems
- **Authors:** Authors: Hai Van Nguyen, Tan Bui-Thanh
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Hi, thanks for making this lovely package.
I have a simple ODE model with the following code:
```python
import tensorflow as tf
import matplotlib.pyplot as plt
from tfdiffeq import odeint
…
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## Idea
The matrices representing the systems of equations in Cantera are generally solved using [SUNDIALS]. Newer versions of SUNDIALS have a better interface to integrate with heterogeneous c…
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Hi all,
Many of you have reached out to me or @ChrisRackauckas about doing a GSoC related to NeuralPDE.jl, or PDE discretizers and we're both very happy to have you interested in these tools.
S…
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JAX is unable to obtain the Jacobian of a linear function in an efficient manner.
```python
import jax
import jax.numpy as jnp
import jax.random as jrandom
import timeit
A = jrandom.normal(j…
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Hi, I am getting the following error when trying to solve the inverse problem (learning \lambda) using NeuralPDE.jl: "`KeyError: key λ not found`" and it points towards the line `@named pde_system = P…
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**Describe the bug**
Hello, I want to use DynamicalSystems.jl to calculate the gradient, but the following problem occurs, which may be related to mutate array
**Minimal Working Example**
```
us…
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Hey folks, I am running into another problem related to integrals. I can't seem to get GPU support working correctly with them. The script I wrote runs correctly when the equations do not include an i…
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Couple of strategy/scenarios
1) train-to-train model
- train a sub-class of PDEs with NeuralOperator
- transfer learning pre-trained prediction from NeuralOperator problem to PINNs
- PINNs train…