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Niki Andreas Loppi
Niki Andreas Loppi
Solutions Architect, NVIDIA
Verifierad e-postadress på nvidia.com
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A high-order cross-platform incompressible Navier–Stokes solver via artificial compressibility with application to a turbulent jet
NA Loppi, FD Witherden, A Jameson, PE Vincent
Computer Physics Communications 233, 193-205, 2018
452018
Locally adaptive pseudo-time stepping for high-order flux reconstruction
NA Loppi, FD Witherden, A Jameson, PE Vincent
Journal of Computational Physics 399, 108913, 2019
232019
Optimal Runge–Kutta schemes for pseudo time-stepping with high-order unstructured methods
BC Vermeire, NA Loppi, PE Vincent
Journal of Computational Physics 383, 55-71, 2019
232019
Optimal embedded pair Runge-Kutta schemes for pseudo-time stepping
BC Vermeire, NA Loppi, PE Vincent
Journal of Computational Physics 415, 109499, 2020
82020
Spatio-temporal variational Gaussian processes
O Hamelijnck, W Wilkinson, N Loppi, A Solin, T Damoulas
Advances in Neural Information Processing Systems 34, 23621-23633, 2021
72021
High-order incompressible computational fluid dynamics on modern hardware architectures
NA Loppi
Imperial College London, 2019
52019
d3p-A Python Package for Differentially-Private Probabilistic Programming
L Prediger, N Loppi, S Kaski, A Honkela
Proceedings on Privacy Enhancing Technologies 2022 (2), 407-425, 2022
22022
Wall-modeled large eddy simulation for rotating flows
NA Loppi, J Bodart, G Dufour
Direct and Large-Eddy Simulation X, 263-269, 2018
22018
Ulkoisten kuormien vaikutukset lentokoneiden ominaisuuksiin
N Loppi
12012
Expansion of Visual Hints for Improved Generalization in Stereo Matching
A Pilzer, Y Hou, N Loppi, A Solin, J Kannala
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
2023
Fast optimize-and-sample method for differentiable Galerkin approximations of multi-layered Gaussian process priors
MF Emzir, NA Loppi, Z Zhao, SS Hassan, S Särkkä
2022 25th International Conference on Information Fusion (FUSION), 1-7, 2022
2022
Latest Development in the FoTran Project–Scaling Up Language Coverage in Neural Machine Translation Using Distributed Training with Language-Specific Components
R Vázquez, M Boggia, A Raganato, NA Loppi, SA Grönroos, J Tiedemann
Proceedings of the 23rd Annual Conference of the European Association for …, 2022
2022
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Artiklar 1–12