Erik J Bekkers
15 papers · 2020–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (4) 🏃 Academic Marathon (5) 🐝 Cross-Pollinator (13) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer
💎
Century Club
(14)
Conferences
ICLR (7)
ICML (4)
MIDL (3)
UAI (1)
Top co-authors
Keywords
self-supervised learning
(1)
point cloud
(1)
computational efficiency
(1)
synthetic data generation
(1)
message passing
(1)
variational autoencoder
(1)
lie group
(1)
signed distance field
(1)
parameter efficiency
(1)
latent diffusion model
(1)
geometric learning
(1)
simplicial complex
(1)
group convolution
(1)
shape generation
(1)
graph neural network
(1)
separable convolution
(1)
geometric inductive bia
(1)
Papers
Controlled Generation with Equivariant Variational Flow Matching
ICML 2025
CP$^2$: Leveraging Geometry for Conformal Prediction via Canonicalization
UAI 2025
Grounding Continuous Representations in Geometry: Equivariant Neural Fields
ICLR 2025
Self-Supervised Synthetic Cerebral Vessel Tree Generation using Semantic Signed Distance Fields
MIDL 2025
On the Importance of Embedding Norms in Self-Supervised Learning
ICML 2025
Fast, Expressive $\mathrm{SE}(n)$ Equivariant Networks through Weight-Sharing in Position-Orientation Space
ICLR 2024
Uncertainty-aware retinal layer segmentation in OCT through probabilistic signed distance functions
MIDL 2024
Generating Cerebral Vessel Trees of Acute Ischemic Stroke Patients using Conditional Set-Diffusion
MIDL 2024
E$(n)$ Equivariant Message Passing Simplicial Networks
ICML 2023
Modelling Long Range Dependencies in $N$D: From Task-Specific to a General Purpose CNN
ICLR 2023
Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups
ICML 2022
CKConv: Continuous Kernel Convolution For Sequential Data
ICLR 2022
FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes
ICLR 2022
Geometric and Physical Quantities improve E(3) Equivariant Message Passing
ICLR 2022
B-Spline CNNs on Lie groups
ICLR 2020