David M. Knigge

14 papers A* 5Journal 7Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Grounding Continuous Representations in Geometry: Equivariant Neural Fields. ICLR David R. Wessels, David M. Knigge, Riccardo Valperga, Samuele Papa, Sharvaree P. Vadgama, Efstratios Gavves, Erik J. Bekkers
2024	J	`jnl`	Grounding Continuous Representations in Geometry: Equivariant Neural Fields. CoRR David R. Wessels, David M. Knigge, Samuele Papa, Riccardo Valperga, Sharvaree P. Vadgama, Efstratios Gavves, Erik J. Bekkers
2024	A*	`conf`	How to Train Neural Field Representations: A Comprehensive Study and Benchmark. CVPR Samuele Papa, Riccardo Valperga, David M. Knigge, Miltiadis Kofinas, Phillip Lippe, Jan-Jakob Sonke, Efstratios Gavves
2024	A*	`conf`	Space-Time Continuous PDE Forecasting using Equivariant Neural Fields. NeurIPS David M. Knigge, David R. Wessels, Riccardo Valperga, Samuele Papa, Jan-Jakob Sonke, Erik J. Bekkers, Efstratios Gavves
2024	J	`jnl`	Space-Time Continuous PDE Forecasting using Equivariant Neural Fields. CoRR David M. Knigge, David R. Wessels, Riccardo Valperga, Samuele Papa, Jan-Jakob Sonke, Efstratios Gavves, Erik J. Bekkers
2023	—	`conf`	Geometric Superpixel Representations for Efficient Image Classification with Graph Neural Networks. ICCV (Workshops) Radu A. Cosma, Lukas Knobel, Putri A. van der Linden, David M. Knigge, Erik J. Bekkers
2023	J	`jnl`	How to Train Neural Field Representations: A Comprehensive Study and Benchmark. CoRR Samuele Papa, Riccardo Valperga, David M. Knigge, Miltiadis Kofinas, Phillip Lippe, Jan-Jakob Sonke, Efstratios Gavves
2023	A*	`conf`	Modelling Long Range Dependencies in $N$D: From Task-Specific to a General Purpose CNN. ICLR David M. Knigge, David W. Romero, Albert Gu, Efstratios Gavves, Erik J. Bekkers, Jakub Mikolaj Tomczak, Mark Hoogendoorn, Jan-Jakob Sonke
2023	J	`jnl`	Modelling Long Range Dependencies in N-D: From Task-Specific to a General Purpose CNN. CoRR David M. Knigge, David W. Romero, Albert Gu, Efstratios Gavves, Erik J. Bekkers, Jakub M. Tomczak, Mark Hoogendoorn, Jan-Jakob Sonke
2023	J	`jnl`	Neural Modulation Fields for Conditional Cone Beam Neural Tomography. CoRR Samuele Papa, David M. Knigge, Riccardo Valperga, Nikita Moriakov, Miltos Kofinas, Jan-Jakob Sonke, Efstratios Gavves
2022	A*	`conf`	Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups. ICML David M. Knigge, David W. Romero, Erik J. Bekkers
2022	—	`conf`	Learning to Automatically Generate Accurate ECG Captions. MIDL 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
2022	J	`jnl`	Towards a General Purpose CNN for Long Range Dependencies in ND. CoRR David W. Romero, David M. Knigge, Albert Gu, Erik J. Bekkers, Efstratios Gavves, Jakub M. Tomczak, Mark Hoogendoorn
2021	J	`jnl`	Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups. CoRR David M. Knigge, David W. Romero, Erik J. Bekkers