I agree that this site is using cookies. You can find further informations here.
X
Pensoneault, Andrew
7  results:
Search for persons X
?
1

Efficient Bayesian Physics Informed Neural Networks for inv..:

Pensoneault, Andrew ; Zhu, Xueyu
Journal of Computational Physics.  508 (2024)  - p. 113006 , 2024
Link: https://doi.org/10.1016/..
 
?
2

Ensemble Kalman Inversion for upstream parameter estimation..:

Pensoneault, Andrew ; Krajewski, Witold F. ; Velásquez, Nicolás..
Advances in Water Resources.  181 (2023)  - p. 104545 , 2023
Link: https://doi.org/10.1016/..
 
?
3

Weight structure of the Local Ensemble Transform Kalman Fil..:

Kotsuki, Shunji ; Pensoneault, Andrew ; Okazaki, Atsushi.
Quarterly Journal of the Royal Meteorological Society.  146 (2020)  732 - p. 3399-3415 , 2020
Link: https://doi.org/10.1002/..
 
?
4

Nonnegativity-enforced Gaussian process regression:

Pensoneault, Andrew ; Yang, Xiu ; Zhu, Xueyu
Theoretical and Applied Mechanics Letters.  10 (2020)  3 - p. 182-187 , 2020
Link: https://doi.org/10.1016/..
 
?
5

Efficient Bayesian Physics Informed Neural Networks for Inv..:

Pensoneault, Andrew ; Zhu, Xueyu
http://arxiv.org/abs/2303.07392.  , 2023
Link: http://arxiv.org/abs/230..
 
?
6

Nonnegativity-Enforced Gaussian Process Regression:

Pensoneault, Andrew ; Yang, Xiu ; Zhu, Xueyu
http://arxiv.org/abs/2004.04632.  , 2020
Link: http://arxiv.org/abs/200..
 
?
7

Nonnegativity-enforced Gaussian process regression:

Andrew Pensoneault ; Xiu Yang ; Xueyu Zhu
http://www.sciencedirect.com/science/article/pii/S2095034920300313.  , 2020
Link: https://doi.org/10.1016/..
 
1-7