David M. Knigge

According to our database, David M. Knigge authored at least 9 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Grounding Continuous Representations in Geometry: Equivariant Neural Fields.

David R. Wessels, David M. Knigge, Samuele Papa, Riccardo Valperga, Sharvaree P. Vadgama, Efstratios Gavves, Erik J. Bekkers

CoRR, 2024

Space-Time Continuous PDE Forecasting using Equivariant Neural Fields.

David M. Knigge, David R. Wessels, Riccardo Valperga, Samuele Papa, Jan-Jakob Sonke, Erik J. Bekkers, Efstratios Gavves

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

How to Train Neural Field Representations: A Comprehensive Study and Benchmark.

Samuele Papa, Riccardo Valperga, David M. Knigge, Miltiadis Kofinas, Phillip Lippe, Jan-Jakob Sonke, Efstratios Gavves

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Neural Modulation Fields for Conditional Cone Beam Neural Tomography.

Samuele Papa, David M. Knigge, Riccardo Valperga, Nikita Moriakov, Miltos Kofinas, Jan-Jakob Sonke, Efstratios Gavves

CoRR, 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

Proceedings of the Eleventh International Conference on Learning Representations, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Towards a General Purpose CNN for Long Range Dependencies in ND.

David W. Romero, David M. Knigge, Albert Gu, Erik J. Bekkers, Efstratios Gavves, Jakub M. Tomczak, Mark Hoogendoorn

CoRR, 2022

Learning to Automatically Generate Accurate ECG Captions.

Mathieu G. G. Bartels, Ivona Najdenkoska, Rutger R. van de Leur, Arjan Sammani, Karim Taha, David M. Knigge, Pieter A. F. M. Doevendans, Marcel Worring, René van Es

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups.

David M. Knigge, David W. Romero, Erik J. Bekkers

Proceedings of the International Conference on Machine Learning, 2022