Erik J. Bekkers
- Geometric and Physical Quantities Improve E(3) Equivariant Message Passing
2021/10/06 by J. Brandstetter, Rob Hesselink, Brandstetter, Johannes +7 · 26 citations
Computer Science · Materials Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Neural Networks and Applications #Topic Modeling
- B-Spline CNNs on Lie Groups
2019/09/26 by Erik J. Bekkers, Bekkers, Erik J · 11 citations
Computer Science · Engineering · #AI in cancer detection #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Medical Image Segmentation Techniques #Medical Imaging and Analysis
- CKConv: Continuous Kernel Convolution For Sequential Data
2021/02/04 by David W. Romero, Anna Kuzina, Romero, David W. +7 · 9 citations
Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Machine Learning (cs.LG)
- Roto-Translation Covariant Convolutional Networks for Medical Image\n Analysis
2018/04/10 by Erik J. Bekkers, Bekkers, Erik J, Maxime W. Lafarge +9 · 5 citations
Computer Science · Engineering · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Mathematics #Group Theory (math.GR) #Machine Learning (cs.LG) #Medical Image Segmentation Techniques #Medical Imaging and Analysis
- Roto-Translation Equivariant Convolutional Networks: Application to\n Histopathology Image Analysis
2020/02/20 by Maxime W. Lafarge, Lafarge, Maxime W., Erik J. Bekkers +7 · 3 citations
Computer Science · Engineering · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #Digital Imaging for Blood Diseases #FOS: Computer and information sciences #Medical Imaging and Analysis
- Towards a General Purpose CNN for Long Range Dependencies in ND
2022/06/07 by David W. Romero, David M. Knigge, Romero, David W. +11 · 3 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Attentive Group Equivariant Convolutional Networks
2020/02/07 by David W. Romero, Romero, David W., Erik J. Bekkers +5 · 3 citations
Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications
- Grounding Continuous Representations in Geometry: Equivariant Neural Fields
2024/06/09 by David R. Wessels, Wessels, David R, David M. Knigge +11 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
- Space-Time Continuous PDE Forecasting using Equivariant Neural Fields
2024/06/10 by David M. Knigge, Knigge, David M., David R. Wessels +11 · 2 citations
Computer Science · Decision Sciences · Environmental Science · #Air Quality Monitoring and Forecasting #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Forecasting Techniques and Applications #Machine Learning (cs.LG) #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE)
- Platonic Transformers: A Solid Choice For Equivariance
2025/10/03 by Mohammad Mohaiminul Islam, Islam, Mohammad Mohaiminul, R. S. Anand +18 · 1 voice · 4 citations
Physics and Astronomy · #Quantum Mechanics and Applications #Astro and Planetary Science #Origins and Evolution of Life
- Learning Symmetries via Weight-Sharing with Doubly Stochastic Tensors
2024/12/05 by Putri A. van der Linden, Alejandro García-Castellanos, Sharvaree Vadgama +2 · 1 voice · 1 citation
#cs.LG #cs.CV
- Riemannian Variational Flow Matching for Material and Protein Design
2025/02/18 by Olga Zaghen, Floor Eijkelboom, Zaghen, Olga +12 · 1 voice · 1 citation
Computer Science · Engineering · #Computer Graphics and Visualization Techniques #3D Shape Modeling and Analysis #Advanced Numerical Analysis Techniques
- The Hidden Pitfalls of the Cosine Similarity Loss
2024/06/24 by Andrew Draganov, Sharvaree Vadgama, Draganov, Andrew +3 · 1 citation
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stochastic Gradient Optimization Techniques
- Controlled Generation with Equivariant Variational Flow Matching
2025/06/23 by Floor Eijkelboom, Heiko Zimmermann, Eijkelboom, Floor +12 · 1 voice · 3 citations
Computer Science · Engineering · #Computational Fluid Dynamics and Aerodynamics #Fluid Dynamics and Turbulent Flows #Plasma and Flow Control in Aerodynamics #cs.AI #cs.LG