Follow
Erik J Bekkers
Title
Cited by
Year
Pullback Flow Matching on Data Manifolds
F de Kruiff, E Bekkers, O Öktem, CB Schönlieb, W Diepeveen
arXiv preprint arXiv:2410.04543, 2024
2024
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain
G Bernárdez, L Telyatnikov, M Montagna, F Baccini, M Papillon, ...
arXiv preprint arXiv:2409.05211, 2024
12024
The NGT200 Dataset: Geometric Multi-View Isolated Sign Recognition
O Ranum, DR Wessels, G Otterspeer, EJ Bekkers, F Roelofsen, ...
arXiv preprint arXiv:2409.15284, 2024
2024
The Hidden Pitfalls of the Cosine Similarity Loss
A Draganov, S Vadgama, EJ Bekkers
High-dimensional Learning Dynamics 2024: The Emergence of Structure and …, 2024
2024
Space-Time Continuous PDE Forecasting using Equivariant Neural Fields
DM Knigge, DR Wessels, R Valperga, S Papa, JJ Sonke, E Gavves, ...
arXiv preprint arXiv:2406.06660, 2024
12024
Grounding Continuous Representations in Geometry: Equivariant Neural Fields
DR Wessels, DM Knigge, S Papa, R Valperga, S Vadgama, E Gavves, ...
arXiv preprint arXiv:2406.05753, 2024
22024
E (n) Equivariant Message Passing Cellular Networks
V Kovač, EJ Bekkers, P Liň, F Eijkelboom
arXiv preprint arXiv:2406.03145, 2024
2024
Deep learning for histopathological assessment of esophageal adenocarcinoma precursor lesions
M Botros, OJ de Boer, B Cardenas, EJ Bekkers, M Jansen, ...
Modern Pathology, 100531, 2024
2024
Improving generalizability and data efficiency for MHC-I binding peptide predictions through structure-based geometric deep learning
L Xue, D Marzella, G Crocioni, T Radusinović, D Lepikhov, H Severin, ...
2024
Physics-informed geometric regularization of heterogeneous reconstructions in cryo-EM
V Prins, W Diepeveen, EJ Bekkers, O Öktem
ICLR 2024 Workshop on Generative and Experimental Perspectives for …, 2024
2024
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, 2024
2024
Latent field discovery in interacting dynamical systems with neural fields
MM Kofinas, E Bekkers, N Nagaraja, E Gavves
Advances in Neural Information Processing Systems 36, 2024
62024
Learning symmetries via weight-sharing with doubly stochastic tensors
PA Van der Linden, AG Castellanos, S Vadgama, TP Kuipers, EJ Bekkers
The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024
2024
Generating Cerebral Vessel Trees of Acute Ischemic Stroke Patients using Conditional Set-Diffusion
TP Kuipers, PR Konduri, H Marquering, EJ Bekkers
Medical Imaging with Deep Learning, 2024
12024
Uncertainty-aware retinal layer segmentation in OCT through probabilistic signed distance functions
MM Islam, C de Vente, B Liefers, C Klaver, EJ Bekkers, CI Sánchez
Medical Imaging with Deep Learning, 2024
2024
Dynamic prediction of malignant ventricular arrhythmias using neural networks in patients with an implantable cardioverter-defibrillator
MZH Kolk, S Ruipérez-Campillo, L Alvarez-Florez, B Deb, EJ Bekkers, ...
Ebiomedicine 99, 2024
112024
Improving generalizability for MHC-I binding peptide predictions through geometric deep learning
DF Marzella, G Crocioni, T Radusinović, D Lepikhov, H Severin, DL Bodor, ...
bioRxiv, 2023.12. 04.569776, 2023
12023
Visual Scene Representation with Hierarchical Equivariant Sparse Coding
C Shewmake, D Buracas, H Lillemark, J Shin, E Bekkers, N Miolane, ...
Proceedings of Machine Learning Research-NeurIPS workshop, 2023
2023
Fast, Expressive Equivariant Networks through Weight-Sharing in Position-Orientation Space
EJ Bekkers, S Vadgama, R Hesselink, PA Van der Linden, DW Romero
The Twelfth International Conference on Learning Representations (ICLR 2024), 2023
13*2023
Modeling Barrett’s Esophagus Progression Using Geometric Variational Autoencoders
V van Veldhuizen, S Vadgama, O de Boer, S Meijer, EJ Bekkers
MICCAI Workshop on Cancer Prevention through Early Detection, 132-142, 2023
2023
The system can't perform the operation now. Try again later.
Articles 1–20