Marten Lienen

6 papers · 2021–2025 · 3 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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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12) 🔥 Unstoppable · Bronze

Venues

ICLR (3) ICML (2) NeurIPS (1)

Top co-authors

Stephan Günnemann (6) David Lüdke (3) Marin Biloš (1) Oleksandr Shchur (1) Leo Schwinn (1) Marcel Kollovieh (1) Johannes Gasteiger (1) Jan Hansen-Palmus (1) Abdullah Saydemir (1)

Research topics

Deep Learning (5) Machine Learning (4) Models (3) Optimization & Theory (3) Artificial Intelligence (2) Architectures (2) Data Science & Analytics (1) Mathematics & Optimization (1) Application Areas (1) Core AI (1) Core Methods (1) Learning Paradigms (1) Methods (1) Optimization (1)

Keywords

optimal transport (2) graph neural network (2) flow matching (1) gaussian process (1) locality sensitive hashing (1) posterior inference (1) time series forecasting (1) generative model (1) state space model (1) diffusion model (1) entropy regularization (1) partial differential equation (1) physics-informed learning (1) denoising diffusion (1) embedding alignment (1) probabilistic forecasting (1) spatiotemporal forecasting (1) computational fluid dynamics (1) turbulent flow (1) word embedding (1)

Papers

Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting ICLR 2025 UnHiPPO: Uncertainty-aware Initialization for State Space Models ICML 2025 From Zero to Turbulence: Generative Modeling for 3D Flow Simulation ICLR 2024 Add and Thin: Diffusion for Temporal Point Processes NeurIPS 2023 Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks ICLR 2022 Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More ICML 2021