cff-version: 1.2.0 abstract: "
ICLR article and thesis chapter. This article contributes a novel convolutional operator that can learn to modulate its kernel size, and can be used to perform scale generalization.
" authors: - family-names: Romero given-names: David - family-names: Bruintjes given-names: Robert-Jan orcid: "https://orcid.org/0000-0002-9798-0214" - family-names: Tomczak given-names: Jakub - family-names: Bekkers given-names: Erik - family-names: Hoogendoorn given-names: Mark - family-names: van Gemert given-names: Jan orcid: "https://orcid.org/0000-0002-6913-0482" title: "Data underlying the publication/thesis chapter: FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes" keywords: version: 1 identifiers: - type: doi value: 10.4121/64c5aba1-e619-42c9-bf39-57fe84f2e7e7.v1 license: CC BY 4.0 date-released: 2025-09-09