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Kovachki, Nikola B
23
results:
Search for persons
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Online (23)
Mediatypes
Articles (Online) (8)
OpenAccess-fulltext (15)
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1
Conditional Sampling with Monotone GANs: From Generative Mo..:
Baptista, Ricardo
;
Hosseini, Bamdad
;
Kovachki, Nikola B.
.
SIAM/ASA Journal on Uncertainty Quantification. 12 (2024) 3 - p. 868-900 , 2024
Link:
https://doi.org/10.1137/..
?
2
Learning Homogenization for Elliptic Operators:
Bhattacharya, Kaushik
;
Kovachki, Nikola B.
;
Rajan, Aakila
..
SIAM Journal on Numerical Analysis. 62 (2024) 4 - p. 1844-1873 , 2024
Link:
https://doi.org/10.1137/..
?
3
Convergence Rates for Learning Linear Operators from Noisy ..:
de Hoop, Maarten V.
;
Kovachki, Nikola B.
;
Nelsen, Nicholas H.
.
SIAM/ASA Journal on Uncertainty Quantification. 11 (2023) 2 - p. 480-513 , 2023
Link:
https://doi.org/10.1137/..
?
4
Ensemble Kalman inversion: a derivative-free technique for ..:
Kovachki, Nikola B
;
Stuart, Andrew M
Inverse Problems. 35 (2019) 9 - p. 095005 , 2019
Link:
https://doi.org/10.1088/..
?
5
Regression Clustering for Improved Accuracy and Training Co..:
Cheng, Lixue
;
Kovachki, Nikola B.
;
Welborn, Matthew
.
Journal of Chemical Theory and Computation. 15 (2019) 12 - p. 6668-6677 , 2019
Link:
https://doi.org/10.1021/..
?
6
Convergence Rates for Learning Linear Operators from Noisy ..:
de Hoop, Maarten V
;
Kovachki, Nikola B
;
Nelsen, Nicholas H
.
https://resolver.caltech.edu/CaltechAUTHORS:20220524-180322099. , 2023
Link:
https://doi.org/10.1137/..
?
7
An Approximation Theory Framework for Measure-Transport Sam..:
Baptista, Ricardo
;
Hosseini, Bamdad
;
Kovachki, Nikola B
..
http://arxiv.org/abs/2302.13965. , 2023
Link:
http://arxiv.org/abs/230..
?
8
Score-based Diffusion Models in Function Space:
Lim, Jae Hyun
;
Kovachki, Nikola B
;
Baptista, Ricardo
...
http://arxiv.org/abs/2302.07400. , 2023
Link:
http://arxiv.org/abs/230..
?
9
Convergence Rates for Learning Linear Operators from Noisy ..:
de Hoop, Maarten V
;
Kovachki, Nikola B
;
Nelsen, Nicholas H
.
https://arxiv.org/abs/2108.12515. , 2022
Link:
https://doi.org/10.48550..
?
10
Convergence Rates for Learning Linear Operators from Noisy ..:
de Hoop, Maarten V
;
Kovachki, Nikola B
;
Nelsen, Nicholas H
.
http://arxiv.org/abs/2108.12515. , 2021
Link:
http://arxiv.org/abs/210..
?
11
Model Reduction and Neural Networks for Parametric PDEs:
Bhattacharya, Kaushik
;
Hosseini, Bamdad
;
Kovachki, Nikola B
.
http://arxiv.org/abs/2005.03180. , 2020
Link:
https://doi.org/10.48550..
?
12
Conditional Sampling with Monotone GANs: from Generative Mo..:
Baptista, Ricardo
;
Hosseini, Bamdad
;
Kovachki, Nikola B
.
http://arxiv.org/abs/2006.06755. , 2020
Link:
http://arxiv.org/abs/200..
?
13
Model Reduction and Neural Networks for Parametric PDEs:
Bhattacharya, Kaushik
;
Hosseini, Bamdad
;
Kovachki, Nikola B
.
http://arxiv.org/abs/2005.03180. , 2020
Link:
http://arxiv.org/abs/200..
?
14
Regression-clustering for Improved Accuracy and Training Co..:
Cheng, Lixue
;
Kovachki, Nikola B
;
Welborn, Matthew
.
https://doi.org/10.1021/acs.jctc.9b00884. , 2019
Link:
https://doi.org/10.1021/..
?
15
Ensemble Kalman Inversion: A Derivative-Free Technique For ..:
Kovachki, Nikola B
;
Stuart, Andrew M
https://arxiv.org/abs/1808.03620. , 2019
Link:
https://doi.org/10.1088/..
1-15