Sebastian Damrich
8 papers · 2019–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (18) 🧬 Topic Evolution
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Trend Setter
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Unstoppable · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(5)
Mathematics & Optimization
(4)
Learning Types · Machine Learning
(4)
Mathematics
(4)
Optimization & Theory
(3)
Artificial Intelligence
(2)
Deep Learning
(2)
Core Methods
(2)
Computer Vision
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Core AI
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Processing
(1)
Keywords
dimensionality reduction
(3)
random walker
(2)
semi-supervised learning
(2)
negative sampling
(2)
spanning forest
(2)
data visualization
(1)
topological data analysis
(1)
directed graph
(1)
gibbs distribution
(1)
persistent homology
(1)
probabilistic model
(1)
distance metric
(1)
latent representation
(1)
convergence rate
(1)
spectral method
(1)
loss function
(1)
matrix tree theorem
(1)
graph metric
(1)
cosine similarity
(1)
geometric regularizer
(1)
Papers
On the Importance of Embedding Norms in Self-Supervised Learning
ICML 2025
Persistent Homology for High-dimensional Data Based on Spectral Methods
NeurIPS 2024
From t-SNE to UMAP with contrastive learning
ICLR 2023
Geometric Autoencoders - What You See is What You Decode
ICML 2023
The Algebraic Path Problem for Graph Metrics
ICML 2022
Directed Probabilistic Watershed
NeurIPS 2021
On UMAP's True Loss Function
NeurIPS 2021
Probabilistic Watershed: Sampling all spanning forests for seeded segmentation and semi-supervised learning
NeurIPS 2019