Description: PhD candidate with [Jan van Gemert](https://jvgemert.github.io)
I study Deep Neural Networks for Computer Vision, like CNNs and Vision Transformers, and how they learn to do their job. Topics of choice include learned equivariance , position information and the inductive bias of the self-attention operation. I’ve also dabbled in implicit neural convolutional operators a bit.
ICLR 2022 paper: FlexConv
CVPRW 2023 paper: Learned Equivariance