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Code repository for the paper Quantized Convolutional Neural Networks Through the Lens of Partial Differential Equations

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BGUCompSci/CNNQuantizationThroughPDEs

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Quantized Convolutional Neural Networks Through the Lens of Partial Differential Equations

Code repository for the paper (arXiv version).

A short summary of the main contributions of our paper.

To run the code, install the dependencies listed in environment.yml using conda or your favorite package manager, then run stable_exp.py to list the available commands.

If you found the paper useful for your work, please consider citing us:

@article{benyair2022quantcnnpde,
    author  = {Ben-Yair, Ido and Ben Shalom, Gil and Eliasof, Moshe and Treister, Eran},
    title   = {Quantized convolutional neural networks through the lens of partial differential equations},
    doi     = {https://doi.org/10.1007/s40687-022-00354-y},
    journal = {Research in the Mathematical Sciences},
    year    = {2022},
    month   = {Sep},
    day     = {06},
    volume  = {9},
    number  = {4},
    pages   = {58}
}