影响力指数
论文质量、代表作、近期表现、广度与样本量置信度综合计算
78.16/100
前 1.5%
全站排名 #997
发表论文14 篇
平均评分
年均产出4.7 篇/年
Erik J Bekkers
研究方向
Machine learning · Mathematical Image Analysis · Medical Image Analysis · Differential geometry · Group theory
13
AdS-GNN - a Conformally Equivariant Graph Neural Network
ICLR 2026Poster
三作32
Riemannian Variational Flow Matching for Material and Protein Design
ICLR 2026Poster
通讯15
CORDS - Continuous Representations of Discrete Structures
ICLR 2026Poster
二作19
Platonic Transformers: A Solid Choice for Equivariance
ICLR 2026Rejected
通讯28
Grounding Continuous Representations in Geometry: Equivariant Neural Fields
ICLR 2025Poster
通讯23
Probing Equivariance and Symmetry Breaking in Convolutional Networks
NeurIPS 2025Poster
通讯14
Controlled Generation with Equivariant Variational Flow Matching
ICML 2025Poster
22
Equivariant Eikonal Neural Networks: Grid-Free, Scalable Travel-Time Prediction on Homogeneous Spaces
NeurIPS 2025Poster
通讯13
On the Importance of Embedding Norms in Self-Supervised Learning
ICML 2025Poster
通讯13
On the utility of Equivariance and Symmetry Breaking in Deep learning architectures on point clouds
ICLR 2025Rejected
通讯23
Pullback Flow Matching on Data Manifolds
ICLR 2025Rejected
二作