Michael T Schaub
8 papers · 2023–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (4) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (13) πΊοΈ Taxonomy Completionist (10)
π
Triple Crown
π₯
Mega-Team
(22)
Conferences
ICML (3)
ICLR (2)
NIPS (2)
AISTATS (1)
Top co-authors
Keywords
combinatorial optimization
(1)
spectral clustering
(1)
graph theory
(1)
deep learning theory
(1)
point cloud
(1)
topological data analysis
(1)
gaussian process
(1)
network partition
(1)
node clustering
(1)
node classification
(1)
node feature
(1)
propagation depth
(1)
graph convolutional network
(1)
simplicial complex
(1)
feature propagation
(1)
graph neural network
(1)
equitable partition
(1)
Papers
Point-Level Topological Representation Learning on Point Clouds
ICML 2025
Global Ground Metric Learning with Applications to scRNA data
AISTATS 2025
Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNs
ICLR 2025
Learning From Simplicial Data Based on Random Walks and 1D Convolutions
ICLR 2024
Graph Neural Networks Do Not Always Oversmooth
NIPS 2024
Position: Topological Deep Learning is the New Frontier for Relational Learning
ICML 2024
An Optimization-based Approach To Node Role Discovery in Networks: Approximating Equitable Partitions
NIPS 2023
Topological Point Cloud Clustering
ICML 2023