Erik J. Bekkers
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
20
Venues
7
Active years
2014–2025
Best venue rank
A*
Where they publish
Papers
20 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ALENEX | HyperSteiner: Computing Heuristic Hyperbolic Steiner Minimal Trees. | Alejandro Garca-Castellanos, Aniss Aiman Medbouhi, Giovanni Luca Marchetti, Erik J. Bekkers, Danica Kragic |
| 2025 | ICLR | Grounding Continuous Representations in Geometry: Equivariant Neural Fields. | David R. Wessels, David M. Knigge, Riccardo Valperga, Samuele Papa, Sharvaree P. Vadgama, Efstratios Gavves, Erik J. Bekkers |
| 2025 | ICML | On the Importance of Embedding Norms in Self-Supervised Learning. | Andrew Draganov, Sharvaree Vadgama, Sebastian Damrich, Jan Niklas Bhm, Lucas Maes, Dmitry Kobak, Erik J. Bekkers |
| 2025 | ICML | Controlled Generation with Equivariant Variational Flow Matching. | Floor Eijkelboom, Heiko Zimmermann, Sharvaree Vadgama, Erik J. Bekkers, Max Welling, Christian A. Naesseth, Jan-Willem van de Meent |
| 2025 | UAI | CP | Putri A. van der Linden, Alexander Timans, Erik J. Bekkers |
| 2024 | ICLR | Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space. | Erik J. Bekkers, Sharvaree P. Vadgama, Rob Hesselink, Putri A. van der Linden, David W. Romero |
| 2023 | ICLR | Modelling Long Range Dependencies in $N$D: From Task-Specific to a General Purpose CNN. | David M. Knigge, David W. Romero, Albert Gu, Efstratios Gavves, Erik J. Bekkers, Jakub Mikolaj Tomczak, Mark Hoogendoorn, Jan-Jakob Sonke |
| 2023 | ICML | E(n) Equivariant Message Passing Simplicial Networks. | Floor Eijkelboom, Rob Hesselink, Erik J. Bekkers |
| 2023 | MICCAI | Regular SE(3) Group Convolutions for Volumetric Medical Image Analysis. | Thijs P. Kuipers, Erik J. Bekkers |
| 2023 | MICCAI | Modeling Barrett's Esophagus Progression Using Geometric Variational Autoencoders. | Vivien van Veldhuizen, Sharvaree P. Vadgama, Onno J. de Boer, Sybren L. Meijer, Erik J. Bekkers |
| 2022 | ICLR | Geometric and Physical Quantities improve E(3) Equivariant Message Passing. | Johannes Brandstetter, Rob Hesselink, Elise van der Pol, Erik J. Bekkers, Max Welling |
| 2022 | ICLR | FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes. | David W. Romero, Robert-Jan Bruintjes, Jakub Mikolaj Tomczak, Erik J. Bekkers, Mark Hoogendoorn, Jan van Gemert |
| 2022 | ICLR | CKConv: Continuous Kernel Convolution For Sequential Data. | David W. Romero, Anna Kuzina, Erik J. Bekkers, Jakub Mikolaj Tomczak, Mark Hoogendoorn |
| 2022 | ICML | Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups. | David M. Knigge, David W. Romero, Erik J. Bekkers |
| 2020 | ICLR | B-Spline CNNs on Lie groups. | Erik J. Bekkers |
| 2020 | ICML | Attentive Group Equivariant Convolutional Networks. | David W. Romero, Erik J. Bekkers, Jakub M. Tomczak, Mark Hoogendoorn |
| 2018 | MICCAI | Roto-Translation Covariant Convolutional Networks for Medical Image Analysis. | Erik J. Bekkers, Maxime W. Lafarge, Mitko Veta, Koen A. J. Eppenhof, Josien P. W. Pluim, Remco Duits |
| 2015 | CIARP | Sub-Riemannian Fast Marching in SE(2). | Gonzalo Sanguinetti, Erik J. Bekkers, Remco Duits, Michiel H. J. Janssen, Alexey Mashtakov, Jean-Marie Mirebeau |
| 2015 | ICIAP | Robust and Fast Vessel Segmentation via Gaussian Derivatives in Orientation Scores. | Jiong Zhang, Erik J. Bekkers, Samaneh Abbasi-Sureshjani, Behdad Dashtbozorg, Bart M. ter Haar Romeny |
| 2014 | MICCAI | Crossing-Preserving Multi-scale Vesselness. | Julius Hannink, Remco Duits, Erik J. Bekkers |