Neural networks for post-processing ensemble weather forecasts. - Stephan Rasp 001; Sebastian Lerch (CoRR, 2018)

Machine learning methods for postprocessing ensemble forecasts of wind gusts: A systematic comparison. - Benedikt Schulz; Sebastian Lerch (CoRR, 2021)

Machine learning for total cloud cover prediction. - Ágnes Baran; Sebastian Lerch; Mehrez El Ayari; Sándor Baran (Neural Comput. Appl., 2021)

Aggregating distribution forecasts from deep ensembles. - Benedikt Schulz; Sebastian Lerch (CoRR, 2022)

Convolutional autoencoders for spatially-informed ensemble post-processing. - Sebastian Lerch; Kai Lars Polsterer (CoRR, 2022)

Generative machine learning methods for multivariate ensemble post-processing. - Jieyu Chen; Tim Janke; Florian Steinke; Sebastian Lerch (CoRR, 2022)

Postprocessing of Ensemble Weather Forecasts Using Permutation-invariant Neural Networks. - Kevin Höhlein; Benedikt Schulz; Rüdiger Westermann; Sebastian Lerch (CoRR, 2023)

Improving Model Chain Approaches for Probabilistic Solar Energy Forecasting through Post-processing and Machine Learning. - Nina Horat; Sina Klerings; Sebastian Lerch (CoRR, 2024)

Graph Neural Networks and Spatial Information Learning for Post-Processing Ensemble Weather Forecasts. - Moritz Feik; Sebastian Lerch; Jan Stühmer (CoRR, 2024)

Learning low-dimensional representations of ensemble forecast fields using autoencoder-based methods. - Jieyu Chen; Kevin Höhlein; Sebastian Lerch (CoRR, 2025)

Probabilistic intraday electricity price forecasting using generative machine learning. - Jieyu Chen; Sebastian Lerch; Melanie Schienle; Tomasz Serafin; Rafal Weron (CoRR, 2025)