Rate-Adaptive Link Quality Estimation for Coded Packet Networks. - Maurice Leclaire; Stephan M. Günther; Marten Lienen; Maximilian Riemensberger; Georg Carle (LCN, 2016)

Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More. - Johannes Klicpera; Marten Lienen; Stephan Günnemann (ICML, 2021)

Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks. - Marten Lienen; Stephan Günnemann (ICLR, 2022)

torchode: A Parallel ODE Solver for PyTorch. - Marten Lienen; Stephan Günnemann (CoRR, 2022)

Add and Thin: Diffusion for Temporal Point Processes. - David Lüdke; Marin Bilos; Oleksandr Shchur; Marten Lienen; Stephan Günnemann (NeurIPS, 2023)

Generative Diffusion for 3D Turbulent Flows. - Marten Lienen; Jan Hansen-Palmus; David Lüdke; Stephan Günnemann (CoRR, 2023)

Assessing Robustness via Score-Based Adversarial Image Generation. - Marcel Kollovieh; Lukas Gosch; Yan Scholten; Marten Lienen; Stephan Günnemann (CoRR, 2023)

From Zero to Turbulence: Generative Modeling for 3D Flow Simulation. - Marten Lienen; David Lüdke; Jan Hansen-Palmus; Stephan Günnemann (ICLR, 2024)

Unfolding Time: Generative Modeling for Turbulent Flows in 4D. - Abdullah Saydemir; Marten Lienen; Stephan Günnemann (CoRR, 2024)

Assessing Robustness via Score-Based Adversarial Image Generation. - Marcel Kollovieh; Lukas Gosch; Marten Lienen; Yan Scholten; Leo Schwinn; Stephan Günnemann (Trans. Mach. Learn. Res., 2024)

Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting. - Marcel Kollovieh; Marten Lienen; David Lüdke; Leo Schwinn; Stephan Günnemann (ICLR, 2025)

Generative Modeling with Bayesian Sample Inference. - Marten Lienen; Marcel Kollovieh; Stephan Günnemann (CoRR, 2025)

UnHiPPO: Uncertainty-aware Initialization for State Space Models. - Marten Lienen; Abdullah Saydemir; Stephan Günnemann (CoRR, 2025)