Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups DM Knigge, DW Romero, EJ Bekkers
International Conference on Machine Learning (ICML), 2022
24 2022 Modelling Long Range Dependencies in ND: From Task-Specific to a General Purpose CNN DM Knigge, DW Romero, A Gu, E Gavves, EJ Bekkers, JM Tomczak, ...
International Conference on Learning Representations (ICLR), 2023
11 2023 Towards a General Purpose CNN for Long Range Dependencies in DW Romero, DM Knigge, A Gu, EJ Bekkers, E Gavves, JM Tomczak, ...
Workshop on Continuous Time Methods for Machine Learning (CTMML@ICML), 2022
11 2022 Neural Modulation Fields for Conditional Cone Beam Neural Tomography S Papa, DM Knigge, R Valperga, N Moriakov, M Kofinas, JJ Sonke, ...
Synergy of Scientific and Machine Learning Modeling Workshop (SynS & ML …, 2023
2 2023 Learning to Automatically Generate Accurate ECG Captions MGG Bartels, I Najdenkoska, RR van de Leur, A Sammani, K Taha, ...
International Conference on Medical Imaging with Deep Learning, 86-102, 2022
2 2022 Equivariant Neural Fields For Symmetry Preserving Continous PDE Forecasting DM Knigge, D Wessels, R Valperga, S Papa, S Gavves, EJ Bekkers
ICLR 2024 Workshop on AI4DifferentialEquations In Science, 2024
2024 How to Train Neural Field Representations: A Comprehensive Study and Benchmark S Papa, R Valperga, D Knigge, M Kofinas, P Lippe, JJ Sonke, E Gavves
arXiv preprint arXiv:2312.10531, 2023
2023 Geometric Superpixel Representations for Efficient Image Classification with Graph Neural Networks RA Cosma, L Knobel, PA Van der Linden, DM Knigge, EJ Bekkers
4th Visual Inductive Priors for Data-Efficient Deep Learning Workshop …, 2023
2023 