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cs.LG2024
Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting
Marcel Kollovieh, Marten Lienen, David Lüdke +2
Recent advancements in generative modeling, particularly diffusion models, have opened new directions for time series modeling, achieving state-of-the-art performance in forecastin…
physics.flu-dyn2024★ 1 cited
Unfolding Time: Generative Modeling for Turbulent Flows in 4D
Abdullah Saydemir, Marten Lienen, Stephan Günnemann
A recent study in turbulent flow simulation demonstrated the potential of generative diffusion models for fast 3D surrogate modeling. This approach eliminates the need for specifyi…