Articles with public access mandates - Nikola KovachkiLearn more
Available somewhere: 11
Neural operator: Learning maps between function spaces with applications to pdes
N Kovachki, Z Li, B Liu, K Azizzadenesheli, K Bhattacharya, A Stuart, ...
Journal of Machine Learning Research 24 (89), 1-97, 2023
Mandates: US National Science Foundation, US Department of Defense
Multipole graph neural operator for parametric partial differential equations
Z Li, N Kovachki, K Azizzadenesheli, B Liu, A Stuart, K Bhattacharya, ...
Advances in Neural Information Processing Systems 33, 6755-6766, 2020
Mandates: US Department of Defense
Model reduction and neural networks for parametric PDEs
K Bhattacharya, B Hosseini, NB Kovachki, AM Stuart
The SMAI journal of computational mathematics 7, 121-157, 2021
Mandates: US National Science Foundation, US Department of Defense
Ensemble Kalman inversion: a derivative-free technique for machine learning tasks
NB Kovachki, AM Stuart
Inverse Problems 35 (9), 095005, 2019
Mandates: US National Science Foundation, US Department of Defense
Regression clustering for improved accuracy and training costs with molecular-orbital-based machine learning
L Cheng, NB Kovachki, M Welborn, TF Miller III
Journal of Chemical Theory and Computation 15 (12), 6668-6677, 2019
Mandates: US National Science Foundation, US Department of Energy, US Department of …
A learning-based multiscale method and its application to inelastic impact problems
B Liu, N Kovachki, Z Li, K Azizzadenesheli, A Anandkumar, AM Stuart, ...
Journal of the Mechanics and Physics of Solids 158, 104668, 2022
Mandates: US National Science Foundation, US Department of Defense
Convergence rates for learning linear operators from noisy data
MV de Hoop, NB Kovachki, NH Nelsen, AM Stuart
SIAM/ASA Journal on Uncertainty Quantification 11 (2), 480-513, 2023
Mandates: US National Science Foundation, US Department of Energy, US Department of …
Multiscale modeling of materials: Computing, data science, uncertainty and goal-oriented optimization
N Kovachki, B Liu, X Sun, H Zhou, K Bhattacharya, M Ortiz, A Stuart
Mechanics of Materials 165, 104156, 2022
Mandates: US Department of Defense, German Research Foundation
Continuous time analysis of momentum methods
NB Kovachki, AM Stuart
Journal of Machine Learning Research 22 (17), 1-40, 2021
Mandates: US National Science Foundation, US Department of Defense
Learning chaotic dynamics in dissipative systems
Z Li, M Liu-Schiaffini, N Kovachki, K Azizzadenesheli, B Liu, ...
Advances in Neural Information Processing Systems 35, 16768-16781, 2022
Mandates: US Department of Defense
Analysis of momentum methods
NB Kovachki, AM Stuart
arXiv preprint arXiv:1906.04285, 2019
Mandates: US National Science Foundation, US Department of Defense
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