Kjetil Olsen Lye

Orcid: 0000-0001-6914-1010

According to our database1, Kjetil Olsen Lye authored at least 10 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Links

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Bibliography

2024
Pseudo-Hamiltonian neural networks for learning partial differential equations.
J. Comput. Phys., March, 2024

2022
Convergence Rates of Monotone Schemes for Conservation Laws for Data with Unbounded Total Variation.
J. Sci. Comput., 2022

Constraint Preserving Mixers for the Quantum Approximate Optimization Algorithm.
Algorithms, 2022

2020
Deep learning observables in computational fluid dynamics.
J. Comput. Phys., 2020

Iterative Surrogate Model Optimization (ISMO): An active learning algorithm for PDE constrained optimization with deep neural networks.
CoRR, 2020

2019
Alsvinn: A Fast multi-GPGPU finite volume solver with a strong emphasis on reproducibility.
CoRR, 2019

A Multi-level procedure for enhancing accuracy of machine learning algorithms.
CoRR, 2019

Statistical solutions of hyperbolic systems of conservation laws: numerical approximation.
CoRR, 2019

2018
Numerical Approximation of Statistical Solutions of Scalar Conservation Laws.
SIAM J. Numer. Anal., 2018

2012
A framework for OpenGL client-server rendering.
Proceedings of the 4th IEEE International Conference on Cloud Computing Technology and Science Proceedings, 2012


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