Tomczak, Jakub Mikolaj

6 publications

ICLR 2023 Modelling Long Range Dependencies in $N$D: From Task-Specific to a General Purpose CNN David M Knigge, David W. Romero, Albert Gu, Efstratios Gavves, Erik J Bekkers, Jakub Mikolaj Tomczak, Mark Hoogendoorn, Jan-jakob Sonke

ICLR 2022 CKConv: Continuous Kernel Convolution for Sequential Data David W. Romero, Anna Kuzina, Erik J Bekkers, Jakub Mikolaj Tomczak, Mark Hoogendoorn

ICLR 2022 FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes David W. Romero, Robert-Jan Bruintjes, Jakub Mikolaj Tomczak, Erik J Bekkers, Mark Hoogendoorn, Jan van Gemert

NeurIPSW 2022 Kendall Shape-VAE : Learning Shapes in a Generative Framework Sharvaree Vadgama, Jakub Mikolaj Tomczak, Erik J Bekkers

ICMLW 2021 General Invertible Transformations for Flow-Based Generative Modeling Jakub Mikolaj Tomczak

NeurIPSW 2021 Semi-Supervised Multiple Instance Learning Using Variational Auto-Encoders Ali Nihat Uzunalioglu, Tameem Adel, Jakub Mikolaj Tomczak