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This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs

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Setting up PyTorch plugin "filtered_lrelu_plugin"... Failed!

# Overview For whatever reason, I can not seem to reproduce the results that are shown in the paper. I have a feeling that I am doing something specific that...

I got better performance by replacing the [`ED_expansion`](https://github.com/camlab-ethz/ConvolutionalNeuralOperator/blob/75a3b9bf5c83ff9ed54e040b970b477a390d4def/CNO2d_time_dependent_%26_foundation_model/CNO_timeModule_CIN.py#L695-L713) and [`decoder_inv`](https://github.com/camlab-ethz/ConvolutionalNeuralOperator/blob/75a3b9bf5c83ff9ed54e040b970b477a390d4def/CNO2d_time_dependent_%26_foundation_model/CNO_timeModule_CIN.py#L733-L749) modules with [`ResidualBlock`](https://github.com/camlab-ethz/ConvolutionalNeuralOperator/blob/75a3b9bf5c83ff9ed54e040b970b477a390d4def/CNO2d_time_dependent_%26_foundation_model/CNO_timeModule_CIN.py#L398-L415). I'd like to double check that this preserves the resolution invariance of CNO, since now there are...

For whatever reason, I can not seem to reproduce the results that are shown in the paper. Would it be possible for you to share the checkpoint you trained? Thanks...

Good evening, meanwhile, I thank you for your work which I found very interesting. I have tried to look at your implementation and I have the following three observations/questions. -...