Nicholas Krämer

1. Approximate Bayesian Neural Operators: Uncertainty Quantification for Parametric PDEs
   2022/08/02 by Emilia Magnani, Nicholas Krämer, Magnani, Emilia +7 · 5 citations
   Computer Science · Engineering · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Reservoir Engineering and Simulation Methods
2. Gradients of Functions of Large Matrices
   2024/05/27 by Nicholas Krämer, Pablo Moreno-Muñoz, Krämer, Nicholas +5 · 1 voice · 2 citations
   #cs.LG #math.NA #stat.ML
3. Adaptive Probabilistic ODE Solvers Without Adaptive Memory Requirements
   2024/10/14 by Nicholas Krämer, Krämer, Nicholas · 1 citation
   Engineering · #Advanced Control Systems Optimization #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA)