Sebastian Kaltenbach

1. Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems
   2022/09/06 by Sebastian Kaltenbach, Paris Perdikaris, Kaltenbach, Sebastian +3 · 5 citations
   Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis
2. Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling
   2025/04/14 by Michał Balcerak, Michal Balcerak, Tamaz Amiranashvili +14 · 1 voice · 8 citations
   Computer Science · Physics and Astronomy · Mathematics · #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks #Tensor decomposition and applications
3. Generative Learning of the Solution of Parametric Partial Differential Equations Using Guided Diffusion Models and Virtual Observations
   2024/07/31 by Han Gao, Gao, Han, Sebastian Kaltenbach +3 · 4 citations
   Physics and Astronomy · #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Machine Learning (cs.LG) #Model Reduction and Neural Networks
4. Interpretable learning of effective dynamics for multiscale systems
   2023/09/11 by Emmanuel Menier, Sebastian Kaltenbach, Menier, Emmanuel +7 · 2 citations
   Physics and Astronomy · #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
5. Learning Effective Dynamics across Spatio-Temporal Scales of Complex Flows
   2025/02/11 by Han Gao, Sebastian Kaltenbach, Gao, Han +3 · 2 citations
   Computer Science · #Neural Networks and Applications #Data Stream Mining Techniques #Time Series Analysis and Forecasting
6. Robostral Navigate
   2026/07/22 by Abhijeet Somani, Arjun Majumdar, Aditi Kabra +212
   #cs.RO #cs.AI