Michael T Schaub
8 papers · 2023–2025 · 4 venues · across top CS/AI venues
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Achievements
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π
Conference Polyglot Β· Bronze
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Interdisciplinary Bridge Β· Bronze
πΊοΈ
Taxonomy Completionist
(17)
π₯
Mega-Team Β· Squad
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Triple Crown
Venues
Top co-authors
Research topics
Machine Learning
(7)
Core Methods
(6)
Deep Learning
(5)
Architectures
(4)
Optimization & Theory
(3)
Artificial Intelligence
(1)
Data Science & Analytics
(1)
Interdisciplinary
(1)
Mathematics & Optimization
(1)
Applications
(1)
Bayesian & Probabilistic
(1)
Core AI
(1)
Learning Types
(1)
Mathematics
(1)
Optimization
(1)
Keywords
simplicial complex
(2)
message passing
(2)
graph neural network
(2)
robustness
(1)
relational learning
(1)
graph theory
(1)
interpretability
(1)
optimal transport
(1)
batch normalization
(1)
deep learning theory
(1)
point cloud
(1)
geometric deep learning
(1)
topological data analysis
(1)
graph representation
(1)
algebraic topology
(1)
gaussian process
(1)
random walk
(1)
distribution comparison
(1)
persistent homology
(1)
differential geometry
(1)
Papers
Global Ground Metric Learning with Applications to scRNA data
AISTATS 2025
Point-Level Topological Representation Learning on Point Clouds
ICML 2025
Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNs
ICLR 2025
Graph Neural Networks Do Not Always Oversmooth
NeurIPS 2024
Learning From Simplicial Data Based on Random Walks and 1D Convolutions
ICLR 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
NeurIPS 2023
Topological Point Cloud Clustering
ICML 2023