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cs.LG2022★ 4 cited
Flipped Classroom: Effective Teaching for Time Series Forecasting
Philipp Teutsch, Patrick Mäder
Sequence-to-sequence models based on LSTM and GRU are a most popular choice for forecasting time series data reaching state-of-the-art performance. Training such models can be deli…
physics.flu-dyn2022
Direct data-driven forecast of local turbulent heat flux in Rayleigh-Bénard convection
Sandeep Pandey, Philipp Teutsch, Patrick Mäder +1
A combined convolutional autoencoder-recurrent neural network machine learning model is presented to analyse and forecast the dynamics and low-order statistics of the local convect…