Samantha Chen
4 papers · 2022–2025 · 3 conferences · across top CS/AI conferences
Achievements
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🌍
Conference Polyglot
(3)
🌉
Interdisciplinary Bridge
🗺️
Taxonomy Completionist
(11)
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(15)
Conferences
ICML (2)
AAAI (1)
NIPS (1)
Top co-authors
Keywords
neural network architecture
(1)
wasserstein distance
(1)
metric learning
(1)
optimal transport
(1)
universal approximation
(1)
gradient descent
(1)
markov chain
(1)
weisfeiler-lehman test
(1)
projected gradient descent
(1)
tree structure
(1)
graph isomorphism
(1)
metric space
(1)
group invariance
(1)
graph kernel
(1)
gromov-wasserstein distance
(1)
minimum spanning tree
(1)
graph isomorphism test
(1)
ultrametric tree
(1)
tree wasserstein distance
(1)
point set
(1)
Papers
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
NIPS 2023
Weisfeiler-Lehman Meets Gromov-Wasserstein
ICML 2022