Tobias Sebastian Finn

1. Ensemble Kalman filter in latent space using a variational autoencoder pair
   2025/02/18 by Ivo Pasmans, Yumeng Chen, Pasmans, Ivo +7 · 5 citations
   Computer Science · #Target Tracking and Data Fusion in Sensor Networks
2. Accurate deep learning-based filtering for chaotic dynamics by identifying instabilities without an ensemble
   2024/08/08 by Marc Bocquet, Alban Farchi, Bocquet, Marc +13 · 3 citations
   Computer Science · #Anomaly Detection Techniques and Applications #Atmospheric and Oceanic Physics (physics.ao-ph) #Chaotic Dynamics (nlin.CD) #Computational Physics and Python Applications #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (stat.ML) #Time Series Analysis and Forecasting
3. Machine learning for modelling unstructured grid data in computational physics: a review
   2025/02/13 by Sibo Cheng, Cheng, Sibo, Marc Bocquet +42 · 6 citations
   Computer Science · #Advanced Data Storage Technologies #Computational Engineering #Computational Physics and Python Applications #Data Analysis #Distributed and Parallel Computing Systems #FOS: Computer and information sciences #FOS: Physical sciences #Finance #Fluid Dynamics (physics.flu-dyn) #Machine Learning (cs.LG) #Statistics and Probability (physics.data-an) #and Science (cs.CE)
4. Emulating Present and Future Simulations of Melt Rates at the Base of Antarctic Ice Shelves With Neural Networks
   2023/12/01 by Clara Burgard, Nicolas C. Jourdain, Pierre Mathiot +5 · 1 voice · 1 citation
   Earth and Planetary Sciences · Environmental Science · #Climate variability and models #Cryospheric studies and observations #Geology and Paleoclimatology Research