| Year | Rank | Type | Title / Venue / Authors |
|---|---|---|---|
| 2026 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2024 | A* | conf |
ICLR
|
| 2024 | J | jnl |
CoRR
|
| 2023 | A | conf |
AISTATS
|
| 2023 | J | jnl |
Trans. Mach. Learn. Res.
|
| 2022 | J | jnl |
CoRR
|
| 2022 | J | jnl |
IEEE J. Sel. Areas Inf. Theory
|
| 2022 | J | jnl |
CoRR
|
| 2022 | J | jnl |
CoRR
|
| 2022 | J | jnl |
IEEE J. Sel. Areas Inf. Theory
|
| 2021 | J | jnl |
CoRR
|
| 2021 | J | jnl |
Entropy
|
| 2021 | A* | conf |
NeurIPS
|
| 2021 | J | jnl |
CoRR
|
| 2020 | J | jnl |
IEEE Trans. Signal Process.
|
| 2020 | J | jnl |
CoRR
|
| 2020 | — | conf |
LOD (1)
|
| 2020 | J | jnl |
CoRR
|
| 2020 | J | jnl |
IEEE Trans. Inf. Theory
|
| 2020 | A* | conf |
Invertible generative models for inverse problems: mitigating representation error and dataset bias.
ICML
|
| 2020 | J | jnl |
CoRR
|
| 2020 | A* | conf |
NeurIPS
|
| 2020 | J | jnl |
CoRR
|
| 2020 | J | jnl |
CoRR
|
| 2019 | J | jnl |
CoRR
|
| 2019 | — | conf |
ICLR (Poster)
|
| 2019 | A* | conf |
NeurIPS
|
| 2019 | J | jnl |
CoRR
|
| 2019 | J | jnl |
Invertible generative models for inverse problems: mitigating representation error and dataset bias.
CoRR
|
| 2019 | J | jnl |
CoRR
|
| 2019 | J | jnl |
J. Mach. Learn. Res.
|
| 2018 | A* | conf |
NeurIPS
|
| 2018 | J | jnl |
CoRR
|
| 2018 | J | jnl |
SIAM J. Imaging Sci.
|
| 2018 | A* | conf |
NeurIPS
|
| 2018 | J | jnl |
CoRR
|
| 2018 | J | jnl |
CoRR
|
| 2018 | J | jnl |
CoRR
|
| 2018 | J | jnl |
Discret. Comput. Geom.
|
| 2018 | A* | conf |
COLT
|
| 2018 | A* | conf |
NeurIPS
|
| 2018 | J | jnl |
CoRR
|
| 2018 | J | jnl |
ACM Trans. Math. Softw.
|
| 2017 | J | jnl |
CoRR
|
| 2017 | J | jnl |
CoRR
|
| 2017 | Misc | conf |
ACSSC
|
| 2017 | J | jnl |
CoRR
|
| 2016 | J | jnl |
CoRR
|
| 2016 | J | jnl |
CoRR
|
| 2016 | J | jnl |
CoRR
|
| 2016 | Misc | conf |
ACSSC
|
| 2016 | — | conf |
ECCV (7)
|
| 2016 | J | jnl |
CoRR
|
| 2015 | J | jnl |
CoRR
|
| 2015 | J | jnl |
CoRR
|