Morten Mørup
9 papers · 2010–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (28) 🏃 Academic Marathon · Full 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🏆
Grand Slam
🏆
Keyword Champion
(2)
📈
Trend Setter
🌈
Renaissance Researcher
(6)
🚀
Conference Pioneer
❓
The Questioner
🗃️
Keyword Collector
(62)
Top co-authors
Research topics
Machine Learning
(8)
Core Methods
(7)
Bayesian & Probabilistic · Machine Learning
(3)
Artificial Intelligence
(2)
Data Science & Analytics
(2)
Healthcare & Medicine
(2)
Mathematics & Optimization
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Learning Types
(2)
Optimization & Theory
(2)
Probability
(2)
Research
(2)
Deep Learning
(1)
Interdisciplinary
(1)
Knowledge & Reasoning
(1)
Keywords
graph representation learning
(2)
latent distance model
(2)
stochastic process
(2)
network modeling
(2)
link prediction
(2)
bayesian nonparametrics
(2)
zero-shot learning
(1)
hierarchical modeling
(1)
contrastive learning
(1)
bayesian inference
(1)
variational inference
(1)
representation learning
(1)
network visualization
(1)
social network analysis
(1)
mutual information
(1)
bayesian model
(1)
markov chain monte carlo
(1)
graph embedding
(1)
survival analysis
(1)
dimensionality reduction
(1)
Papers
How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node Embeddings
ICLR 2025
Continuous-Time Graph Representation with Sequential Survival Process
AAAI 2024
Think Global, Adapt Local: Learning Locally Adaptive K-Nearest Neighbor Kernel Density Estimators
AISTATS 2024
Time to Cite: Modeling Citation Networks using the Dynamic Impact Single-Event Embedding Model
AISTATS 2024
Characterizing Polarization in Social Networks using the Signed Relational Latent Distance Model
AISTATS 2023
CSLP-AE: A Contrastive Split-Latent Permutation Autoencoder Framework for Zero-Shot Electroencephalography Signal Conversion
NeurIPS 2023
Completely random measures for modelling block-structured sparse networks
NeurIPS 2016
Modeling Temporal Evolution and Multiscale Structure in Networks
ICML 2013
Infinite Relational Modeling of Functional Connectivity in Resting State fMRI
NeurIPS 2010