I agree that this site is using cookies. You can find further informations here.
X
Kovachki, Nikola B
23  results:
Search for persons X
?
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