| Year | Rank | Type | Title / Venue / Authors |
|---|---|---|---|
| 2026 | J | jnl |
A short tour of operator learning theory: Convergence rates, statistical limits, and open questions.
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
Stat. Comput.
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2024 | J | jnl |
CoRR
|
| 2024 | J | jnl |
CoRR
|
| 2024 | J | jnl |
CoRR
|
| 2024 | J | jnl |
SIAM Rev.
|
| 2023 | J | jnl |
SIAM/ASA J. Uncertain. Quantification
|
| 2023 | A* | conf |
NeurIPS
|
| 2023 | J | jnl |
CoRR
|
| 2021 | J | jnl |
CoRR
|
| 2021 | J | jnl |
SIAM J. Sci. Comput.
|
| 2020 | J | jnl |
CoRR
|