Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups DM Knigge, DW Romero, EJ Bekkers International Conference on Machine Learning (ICML), 2022 | 25 | 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 | 13 | 2023 |
Towards a General Purpose CNN for Long Range Dependencies in D DW Romero, DM Knigge, A Gu, EJ Bekkers, E Gavves, JM Tomczak, ... Workshop on Continuous Time Methods for Machine Learning (CTMML@ICML), 2022 | 12 | 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 |
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 |
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, 0 | | |