| Year | Rank | Type | Title / Venue / Authors |
|---|---|---|---|
| 2026 | J | jnl |
CoRR
|
| 2025 | J | jnl |
Comput. Geosci.
|
| 2025 | J | jnl |
CoRR
|
| 2024 | J | jnl |
CoRR
|
| 2022 | J | jnl |
Bayesian inference for fluid dynamics: A case study for the stochastic rotating shallow water model.
Frontiers Appl. Math. Stat.
|
| 2021 | J | jnl |
Bayesian Inference for Fluid Dynamics: A Case Study for the Stochastic Rotating Shallow Water Model.
CoRR
|
| 2021 | J | jnl |
SIAM/ASA J. Uncertain. Quantification
|
| 2021 | J | jnl |
CoRR
|
| 2021 | J | jnl |
CoRR
|
| 2020 | J | jnl |
CoRR
|
| 2020 | J | jnl |
J. Comput. Phys. X
|
| 2020 | J | jnl |
Numer. Linear Algebra Appl.
|
| 2019 | — | conf |
ENUMATH
|
| 2019 | — | conf |
ICCS (4)
|
| 2019 | J | jnl |
CoRR
|
| 2019 | J | jnl |
Frontiers Appl. Math. Stat.
|
| 2019 | J | jnl |
J. Comput. Phys.
|
| 2019 | J | jnl |
CoRR
|
| 2018 | J | jnl |
Kernel embedding of maps for sequential Bayesian inference: The variational mapping particle filter.
CoRR
|
| 2014 | — | conf |
DyDESS
|
| 2013 | J | jnl |
Comput. Geosci.
|
| 2003 | J | jnl |
Concurr. Comput. Pract. Exp.
|