Nicholas Krämer
Scholar

Nicholas Krämer

Google Scholar ID: BGufKRsAAAAJ
Technical University of Denmark
Differentiable simulatorsprobabilistic numericsphysics-informed machine learning
Citations & Impact
All-time
Citations
185
 
H-index
8
 
i10-index
8
 
Publications
15
 
Co-authors
24
list available
Resume (English only)
Academic Achievements
  • October 2025: Presenting a poster on the TMLR paper 'Numerically Robust Fixed-Point Smoothing Without State Augmentation' at the ELLIS UnConference in Copenhagen
  • October 2025: Preprint 'Matrix-Free Least Squares Solvers: Values, Gradients, and What to Do With Them' posted on arXiv
  • September 2025: Paper on approximate Bayesian neural operators accepted and published by TMLR
  • September 2025: Presented 'Adaptive probabilistic ODE solvers without adaptive memory requirements' at the International Conference on Probabilistic Numerics in Nice; demoed Probdiffeq (a JAX library)
  • June 2025: Paper on adaptive probabilistic ODE solvers accepted at ICPN
  • March 2025: Preprint 'Numerically robust Gaussian state estimation with singular observation noise' posted on arXiv
  • January 2025: Paper 'Numerically robust fixed-point smoothing without state augmentation' published by TMLR
  • December 2024: Speaking at the D3S3 Workshop at NeurIPS 2024
  • November 2024: Gave talks on adaptive ODE solvers in Oxford, Cambridge, and at DTU Compute’s CUQI seminar series
  • October 2024: Paper 'Gradients of functions of large matrices' accepted as a spotlight at NeurIPS
  • October 2024: Preprint 'Adaptive probabilistic ODE solvers without adaptive memory requirements' uploaded to arXiv
Background
  • Machine learning researcher based in Copenhagen
  • Works on AI4Science at the intersection of numerical methods and machine learning
  • Research interests include probabilistic numerics, differentiable programming, state-space models, numerical linear algebra, Bayesian machine learning, and physics-informed machine learning
  • Primarily codes in Python/JAX
  • Member of the ELLIS Society and affiliated researcher at the Pioneer Centre for AI (P1)
  • Goes by 'Nico' informally but uses 'Nicholas' in academic publications