Latz, Jonas
- Can Physics-Informed Neural Networks beat the Finite Element Method?
2023/02/08 by Tamara G. Grossmann, Grossmann, Tamara G., Urszula Julia Komorowska +5 · 24 citations
Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Numerical Analysis (math.NA)
- Data-driven approximation of Koopman operators and generators: Convergence rates and error bounds
2024/05/01 by Llamazares-Elias, Liam, Llamazares-Elias, Samir, Latz, Jonas +1 · 5 citations
#Dynamical Systems (math.DS) #FOS: Mathematics #Numerical Analysis (math.NA)
- A Learnable Prior Improves Inverse Tumor Growth Modeling
2024/03/07 by Weidner, Jonas, Ezhov, Ivan, Balcerak, Michal +11 · 3 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Physical sciences #Medical Physics (physics.med-ph)
- Error analysis for probabilities of rare events with approximate models
2020/08/14 by Wagner, Fabian, Latz, Jonas, Papaioannou, Iason +1 · 1 citation
#35R60 #41A25 #65N15 #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Numerical Analysis (math.NA)
- Adaptive stepsize algorithms for Langevin dynamics
2024/03/18 by Alix Leroy, Leroy, Alix, Benedict Leimkuhler +5 · 2 citations
Computer Science · Neuroscience · #Neural Networks and Applications #Neural dynamics and brain function #Neural Networks and Reservoir Computing
- A parameterization of anisotropic Gaussian fields with penalized complexity priors
2024/09/03 by Llamazares-Elias, Liam, Latz, Jonas, Lindgren, Finn · 1 citation
#FOS: Computer and information sciences #Methodology (stat.ME)