Soledad Villar
9 papers · 2019–2024 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+2 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (15) π Academic Marathon Β· Sprint π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver
π
Triple Crown
β
The Questioner
(2)
Venues
Top co-authors
Research topics
Machine Learning
(9)
Deep Learning
(6)
Architectures
(6)
Core Methods
(6)
Optimization & Theory Β· Machine Learning
(6)
Artificial Intelligence
(2)
Core AI
(2)
Interdisciplinary
(1)
Knowledge & Reasoning
(1)
Mathematics & Optimization
(1)
Learning Types
(1)
Mathematics
(1)
Optimization & Theory Β· Deep Learning
(1)
Reasoning
(1)
Science
(1)
Keywords
graph neural network
(5)
message passing
(2)
graph isomorphism
(2)
contrastive learning
(1)
self-supervised learning
(1)
human pose estimation
(1)
function approximation
(1)
stability analysis
(1)
equivariant neural network
(1)
machine learning
(1)
expressive power
(1)
image inpainting
(1)
geometric structure
(1)
graph convolution
(1)
equivariant learning
(1)
group theory
(1)
non-commuting operator
(1)
graphon theory
(1)
embedding space
(1)
representation learning
(1)
Papers
Graph neural networks and non-commuting operators
NeurIPS 2024
Position: Is machine learning good or bad for the natural sciences?
ICML 2024
Structuring Representation Geometry with Rotationally Equivariant Contrastive Learning
ICLR 2024
Approximately Equivariant Graph Networks
NeurIPS 2023
Dimensionless machine learning: Imposing exact units equivariance
JMLR 2023
Fine-grained Expressivity of Graph Neural Networks
NeurIPS 2023
Scalars are universal: Equivariant machine learning, structured like classical physics
NeurIPS 2021
Can Graph Neural Networks Count Substructures?
NeurIPS 2020
On the equivalence between graph isomorphism testing and function approximation with GNNs
NeurIPS 2019