David W. Romero
9 papers · 2020–2025 · 3 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (16) π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze
π
Keyword Champion
(2)
π₯
Unstoppable Β· Bronze
Venues
Top co-authors
Research topics
Keywords
convolutional neural network
(4)
symmetry constraint
(2)
computer vision
(2)
weight sharing
(2)
representation learning
(2)
attention mechanism
(1)
hierarchical modeling
(1)
feature learning
(1)
group theory
(1)
ordinary differential equation
(1)
parameter efficient
(1)
geometric deep learning
(1)
autoregressive model
(1)
model architecture
(1)
masked prediction
(1)
recurrent neural network
(1)
positional encoding
(1)
equivariant learning
(1)
point cloud
(1)
image generation
(1)
Papers
HMAR: Efficient Hierarchical Masked Auto-Regressive Image Generation
CVPR 2025
Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space
ICLR 2024
Modelling Long Range Dependencies in ND: From Task-Specific to a General Purpose CNN
ICLR 2023
CKConv: Continuous Kernel Convolution For Sequential Data
ICLR 2022
FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes
ICLR 2022
Learning Partial Equivariances From Data
NeurIPS 2022
Relaxing Equivariance Constraints with Non-stationary Continuous Filters
NeurIPS 2022
Group Equivariant Stand-Alone Self-Attention For Vision
ICLR 2021
Co-Attentive Equivariant Neural Networks: Focusing Equivariance On Transformations Co-Occurring in Data
ICLR 2020