Sebastian Damrich
8 papers · 2019–2025 · 3 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+4 more ↓ Show less ↑
๐ Cross-Pollinator (10) ๐ Academic Marathon (6) ๐งญ Keyword Pioneer ๐ Conference Polyglot (3) ๐ Renaissance Researcher (5)
๐
Interdisciplinary Bridge
๐บ๏ธ
Taxonomy Completionist
(14)
๐ฅ
Unstoppable
(5)
๐
Trend Setter
Conferences
NIPS (4)
ICML (3)
ICLR (1)
Top co-authors
Keywords
semi-supervised learning
(2)
spanning forest
(2)
random walker
(2)
dimensionality reduction
(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)
spectral method
(1)
loss function
(1)
matrix tree theorem
(1)
graph metric
(1)
negative sampling
(1)
geometric regularizer
(1)
seeded segmentation
(1)
effective resistance
(1)
Papers
On the Importance of Embedding Norms in Self-Supervised Learning
ICML 2025
Persistent Homology for High-dimensional Data Based on Spectral Methods
NIPS 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
On UMAP's True Loss Function
NIPS 2021
Directed Probabilistic Watershed
NIPS 2021
Probabilistic Watershed: Sampling all spanning forests for seeded segmentation and semi-supervised learning
NIPS 2019