Knigge, David M

8 publications

ICLR 2025 Grounding Continuous Representations in Geometry: Equivariant Neural Fields David Wessels, David M Knigge, Riccardo Valperga, Samuele Papa, Sharvaree Vadgama, Efstratios Gavves, Erik J Bekkers

ICLRW 2024 Equivariant Neural Fields for Symmetry Preserving Continous PDE Forecasting David M Knigge, David Wessels, Riccardo Valperga, Samuele Papa, Stratis Gavves, Erik J Bekkers

NeurIPS 2024 Space-Time Continuous PDE Forecasting Using Equivariant Neural Fields David M. Knigge, David R. Wessels, Riccardo Valperga, Samuele Papa, Jan-Jakob Sonke, Efstratios Gavves, Erik J. Bekkers

ICCVW 2023 Geometric Superpixel Representations for Efficient Image Classification with Graph Neural Networks Radu A. Cosma, Lukas Knobel, Putri A. van der Linden, David M. Knigge, Erik J. Bekkers

MIDL 2023 Learning to Automatically Generate Accurate ECG Captions Mathieu G. G. Bartels, Ivona Najdenkoska, Rutger R Leur, Arjan Sammani, Karim Taha, David M Knigge, Pieter A Doevendans, Marcel Worring, René Es

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

ICMLW 2023 Neural Modulation Fields for Conditional Cone Beam Neural Tomography Samuele Papa, David M Knigge, Riccardo Valperga, Nikita Moriakov, Miltiadis Kofinas, Jan-jakob Sonke, Efstratios Gavves

ICML 2022 Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups David M. Knigge, David W Romero, Erik J Bekkers