Self-Attentive Ensemble Transformer: Representing Ensemble Interactions in Neural Networks for Earth System Models. - Tobias Sebastian Finn (CoRR, 2021)

Towards diffusion models for large-scale sea-ice modelling. - Tobias Sebastian Finn; Charlotte Durand; Alban Farchi; Marc Bocquet; Julien Brajard (CoRR, 2024)

Latent Diffusion Model for Generating Ensembles of Climate Simulations. - Johannes Meuer; Maximilian Witte; Tobias Sebastian Finn; Claudia Timmreck; Thomas Ludwig 002; Christopher Kadow (CoRR, 2024)

Self-attentive Transformer for Fast and Accurate Postprocessing of Temperature and Wind Speed Forecasts. - Aaron Van Poecke; Tobias Sebastian Finn; Ruoke Meng; Joris Van den Bergh; Geert Smet; Jonathan Demaeyer; Piet Termonia; Hossein Tabari; Peter Hellinckx (CoRR, 2024)

Machine learning for modelling unstructured grid data in computational physics: A review. - Sibo Cheng; Marc Bocquet; Weiping Ding 001; Tobias Sebastian Finn; Rui Fu; Jinlong Fu; Yike Guo; Eleda Johnson; Siyi Li; Che Liu; Eric Newton Moro; Jie Pan 007; et al. (Inf. Fusion, 2025)

Ensemble Kalman filter in latent space using a variational autoencoder pair. - Ivo Pasmans; Yumeng Chen; Tobias Sebastian Finn; Marc Bocquet; Alberto Carrassi (CoRR, 2025)

A Probabilistic Approach to Wildfire Spread Prediction Using a Denoising Diffusion Surrogate Model. - Wenbo Yu; Anirbit Ghosh; Tobias Sebastian Finn; Rossella Arcucci; Marc Bocquet; Sibo Cheng (CoRR, 2025)