Marius Almanstötter

Problems with Parameter optimization of an ODE

1

Hi everybody, i already posted the same issue on the Optimization GitHub page, but Chris asked me to transfer it here. I get the following domain error while trying to...

Maxiters not respected

6

Hello, i have been lately running the docu for parameter optimization of ODEs https://sensitivity.sciml.ai/dev/ode_fitting/optimization_ode/ However, i tried to decrease the maxiters to 5 for multiple algorithms, but none of them...

Skip parameters that lead to errors

3

Hello i am trying to solve an ODE system for different parameter vectors. However, some of the parameters lead to imaginary or unstable solutions. Is it possible to just skip...

Derivative of output neurons wrt to input neurons in loss

3

Hello, i want to define my custom loss function for a fully connected NN. In this loss i want to include the derivative of some output neurons wrt to some...

Using Bayesian Inference for noise free Likelihood

3

Hello, i have maybe a more type of general question. Is it still possible to perform Bayesian inference when the likelihood is basically deterministic. In my problem set up, i...

Problem when using Diffrax for numpyro

1

Hello , i want to use Diffrax for Bayesian inference of parameters in numpyro. However, as soon as i change the StepsizeControler from ConstantStepsie to DPIController i get an error....

If i run the Latin Hypercube sampling with the basic lines of code: ``` from skopt.sampler import Lhs from skopt.space import Space space = Space([(1,2),(3,4)]) lhs = Lhs(criterion="maximin", iterations=10000) initial_population...

mem error

1

Hello everyone, I am trying to run Dask on our cluster, however the following code produces an error i don't really know how to solve ``` from dask_jobqueue import SLURMCluster...

Parallel coordinates mixed categrical and numerical values

1

I have the following problem that i want to use the parallel coordinates plot for a dataframe where some columns are categorical (strings) and others are numerical. In my case...

Warning for solving example ODE from docu

3

The following example code from the docu produces a warning. How can i get rid of it? ``` import jax.numpy as jnp from diffrax import diffeqsolve, ODETerm, SaveAt, Tsit5 def...