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 | 1 | 2024 |
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 | 1 | 2024 |
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 | 2 | 2024 |
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 | 6 | 2024 |
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 | 1 | 2024 |
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 | 11 | 2024 |
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 | 1 | 2023 |
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 |