Matteo Guarrera

Results 9 comments of Matteo Guarrera

Thanks @fealho for the answer. I can do that and request a pull if you are interested.

Is anyone willing to share their implementation to reproduce the results of the paper? :pleading_face: :pray:

Dear authors, I would like to access to the pre-processed data for research purposes. email [email protected]

we should use the same requirements between yaml and requirements.txt I noticed also that jax 0.4.20 raise some deprecation error. So I would suggest to push everything to jax 0.4.26....

I actually create a conda environment using yaml on NERSC, so actually there is no need to keep `requirements.txt`. You can just `conda env create -f env.yml` or `conda env...

I am looking as well for the code to reproduce the experiments of [Guaranteed Approximation Bounds for Mixed-Precision Neural Operators](https://arxiv.org/pdf/2307.15034) I guess @crwhite14, @JeanKossaifi, @rtu715 are the main authors. Thank...

You are right, I guess the error is in the release. The repo is ok, but if you pip install the package it throws the error

minor bug in the visualization function of `latent_sde_lorentz.py`