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Stephan G\"unnemann — most-cited papers & profile · Generative Models
← authors
·
overview
Stephan G\"unnemann
133
papers ·
3540
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
NetGAN: Generating Graphs via Random Walks
2018 · 154 citations
Interpolating Discrete Diffusion Models with Controllable Resampling
2026
Flow-Based Density Ratio Estimation for Intractable Distributions with Applications in Genomics
2026
Diffusion LLMs are Natural Adversaries for any LLM
2025
Energy-Weighted Flow Matching: Unlocking Continuous Normalizing Flows for Efficient and Scalable Boltzmann Sampling
2025
Consistent Sampling and Simulation: Molecular Dynamics with Energy-Based Diffusion Models
2025
Joint Relational Database Generation via Graph-Conditional Diffusion Models
2025
Diffusion Improves Graph Learning
2019
Scalable Normalizing Flows for Permutation Invariant Densities
2020
Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion
2022
Unfolding Time: Generative Modeling for Turbulent Flows in 4D
2024
Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting
2024
Unlocking Point Processes through Point Set Diffusion
2024
Top co-authors
David L\"udke
· 5
Leo Schwinn
· 3
Marcel Kollovieh
· 3
Marin Bilo\v{s
· 2
Marten Lienen
· 2
Abdullah Saydemir
· 1
Aleksandar Bojchevski
· 1
Alessandro Palma
· 1
Anderson Schneider
· 1
Andrea Dittadi
· 1
Daniel Z\"ugner
· 1
Egor Antipov
· 1
Topics
cs.LG
stat.ML
cs.AI
Uncategorized
Diffusion Models
physics.chem-ph
physics.comp-ph
physics.flu-dyn