David M. Knigge

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 11

Top Topics

Automatically Generate

Nonlinear Predictive Control

General Purpose

Top Venues

Publications

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