Marten Lienen - RankMe

20 papers A* 6B 1Journal 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Discrete Bayesian Sample Inference for Graph Generation. CoRR Ole Petersen, Marcel Kollovieh, Marten Lienen, Stephan Günnemann
2025	J	`jnl`	Edit-Based Flow Matching for Temporal Point Processes. CoRR David Lüdke, Marten Lienen, Marcel Kollovieh, Stephan Günnemann
2025	A*	`conf`	Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting. ICLR Marcel Kollovieh, Marten Lienen, David Lüdke, Leo Schwinn, Stephan Günnemann
2025	J	`jnl`	Generative Modeling with Bayesian Sample Inference. CoRR Marten Lienen, Marcel Kollovieh, Stephan Günnemann
2025	A*	`conf`	UnHiPPO: Uncertainty-aware Initialization for State Space Models. ICML Marten Lienen, Abdullah Saydemir, Stephan Günnemann
2025	J	`jnl`	UnHiPPO: Uncertainty-aware Initialization for State Space Models. CoRR Marten Lienen, Abdullah Saydemir, Stephan Günnemann
2024	J	`jnl`	Assessing Robustness via Score-Based Adversarial Image Generation. Trans. Mach. Learn. Res. Marcel Kollovieh, Lukas Gosch, Marten Lienen, Yan Scholten, Leo Schwinn, Stephan Günnemann
2024	J	`jnl`	Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting. CoRR Marcel Kollovieh, Marten Lienen, David Lüdke, Leo Schwinn, Stephan Günnemann
2024	A*	`conf`	From Zero to Turbulence: Generative Modeling for 3D Flow Simulation. ICLR Marten Lienen, David Lüdke, Jan Hansen-Palmus, Stephan Günnemann
2024	J	`jnl`	Unfolding Time: Generative Modeling for Turbulent Flows in 4D. CoRR Abdullah Saydemir, Marten Lienen, Stephan Günnemann
2023	A*	`conf`	Add and Thin: Diffusion for Temporal Point Processes. NeurIPS David Lüdke, Marin Bilos, Oleksandr Shchur, Marten Lienen, Stephan Günnemann
2023	J	`jnl`	Add and Thin: Diffusion for Temporal Point Processes. CoRR David Lüdke, Marin Bilos, Oleksandr Shchur, Marten Lienen, Stephan Günnemann
2023	J	`jnl`	Assessing Robustness via Score-Based Adversarial Image Generation. CoRR Marcel Kollovieh, Lukas Gosch, Yan Scholten, Marten Lienen, Stephan Günnemann
2023	J	`jnl`	Generative Diffusion for 3D Turbulent Flows. CoRR Marten Lienen, Jan Hansen-Palmus, David Lüdke, Stephan Günnemann
2022	A*	`conf`	Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks. ICLR Marten Lienen, Stephan Günnemann
2022	J	`jnl`	Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks. CoRR Marten Lienen, Stephan Günnemann
2022	J	`jnl`	torchode: A Parallel ODE Solver for PyTorch. CoRR Marten Lienen, Stephan Günnemann
2021	A*	`conf`	Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More. ICML Johannes Klicpera, Marten Lienen, Stephan Günnemann
2021	J	`jnl`	Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More. CoRR Johannes Klicpera, Marten Lienen, Stephan Günnemann
2016	B	`conf`	Rate-Adaptive Link Quality Estimation for Coded Packet Networks. LCN Maurice Leclaire, Stephan M. Günther, Marten Lienen, Maximilian Riemensberger, Georg Carle