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rjbruin/README.md

Robert-Jan Bruintjes

PhD candidate with Jan van Gemert @ Computer Vision Lab, TU Delft.

I work on supervised representation learning for Computer Vision. My main research is into integrating prior knowledge into Convolutional Neural Networks to benefit data efficiency. Topics of choice include implicit neural convolutional operators, in- and equivariant representations and data-efficiency of self-attention.

More information, including publications, at https://rjbruin.github.io.

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  1. flexconv flexconv Public

    Code repository for the ICLR 2022 paper "FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes" https://openreview.net/forum?id=3jooF27-0Wy

    Python 115 8

  2. VIPriors/vipriors-challenges-toolkit VIPriors/vipriors-challenges-toolkit Public

    Collection of tools to support submissions to the 3rd VIPriors workshop challenges

    Python 69 24

  3. CVLab-TUDelft/pytorch-lightning-example CVLab-TUDelft/pytorch-lightning-example Public

    Example code for PyTorch experiments

    Python 4 1

  4. causal-discovery-with-lstm causal-discovery-with-lstm Public

    Experimental codebase supporting the Master's thesis "Causal Discovery with Long Short-Term Memory"

    Python 3