Samantha Chen
5 papers · 2022–2026 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(15)
🔥
Unstoppable · Bronze
Venues
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Research topics
Deep Learning
(4)
Machine Learning
(4)
Core Methods
(4)
Architectures
(3)
Optimization & Theory
(3)
Mathematics & Optimization
(2)
Optimization
(2)
Artificial Intelligence
(1)
Computer Science
(1)
Applications
(1)
Core AI
(1)
Learning Types · Deep Learning
(1)
Learning Types · Machine Learning
(1)
Mathematics
(1)
Keywords
neural network architecture
(1)
wasserstein distance
(1)
metric learning
(1)
optimal transport
(1)
universal approximation
(1)
out-of-distribution generalization
(1)
gradient descent
(1)
markov chain
(1)
weisfeiler-lehman test
(1)
projected gradient descent
(1)
tree structure
(1)
shortest path
(1)
graph isomorphism
(1)
metric space
(1)
group invariance
(1)
graph kernel
(1)
gromov-wasserstein distance
(1)
sparsity regularization
(1)
minimum spanning tree
(1)
geodesic distance
(1)
Papers
Graph neural networks extrapolate out-of-distribution for shortest paths
COLT 2026
De-coupled NeuroGF for Shortest Path Distance Approximations on Large Terrain Graphs
ICML 2025
Learning Ultrametric Trees for Optimal Transport Regression
AAAI 2024
Neural approximation of Wasserstein distance via a universal architecture for symmetric and factorwise group invariant functions
NeurIPS 2023
Weisfeiler-Lehman Meets Gromov-Wasserstein
ICML 2022