| Year | Rank | Type | Title / Venue / Authors |
|---|---|---|---|
| 2023 | J | jnl |
Digit. Signal Process.
|
| 2022 | J | jnl |
Telecommun. Syst.
|
| 2021 | C | conf |
INDIN
|
| 2021 | A* | conf |
ICML
|
| 2020 | J | jnl |
IEEE Trans. Signal Process.
|
| 2020 | J | jnl |
IEEE Trans. Signal Process.
|
| 2020 | J | jnl |
IEEE Trans. Computational Imaging
|
| 2020 | J | jnl |
CoRR
|
| 2020 | J | jnl |
IEEE Trans. Inf. Theory
|
| 2020 | J | jnl |
CoRR
|
| 2020 | A* | conf |
Invertible generative models for inverse problems: mitigating representation error and dataset bias.
ICML
|
| 2020 | J | jnl |
CoRR
|
| 2020 | J | jnl |
CoRR
|
| 2019 | — | conf |
ICCV Workshops
|
| 2019 | J | jnl |
CoRR
|
| 2019 | A | conf |
BMVC
|
| 2019 | J | jnl |
CoRR
|
| 2019 | Misc | conf |
ICASSP
|
| 2019 | Misc | conf |
ICASSP
|
| 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.
|
| 2019 | J | jnl |
CoRR
|
| 2018 | J | jnl |
IEEE Wirel. Commun. Lett.
|
| 2018 | A* | conf |
NeurIPS
|
| 2018 | J | jnl |
CoRR
|
| 2018 | J | jnl |
CoRR
|
| 2018 | A* | conf |
NeurIPS
|
| 2018 | J | jnl |
CoRR
|
| 2018 | J | jnl |
CoRR
|
| 2018 | J | jnl |
CoRR
|
| 2018 | J | jnl |
IEEE Trans. Inf. Theory
|
| 2018 | J | jnl |
CoRR
|
| 2018 | J | jnl |
CoRR
|
| 2017 | J | jnl |
CoRR
|
| 2017 | J | jnl |
IEEE Signal Process. Lett.
|
| 2017 | Misc | conf |
ACSSC
|
| 2017 | C | conf |
ICTD
|
| 2016 | J | jnl |
CoRR
|
| 2015 | — | conf |
CAMSAP
|
| 2015 | J | jnl |
IEEE Trans. Inf. Theory
|
| 2015 | J | jnl |
CoRR
|
| 2014 | J | jnl |
IEEE Trans. Inf. Theory
|
| 2013 | Misc | conf |
ICASSP
|
| 2013 | J | jnl |
CoRR
|
| 2013 | — | conf |
CAMSAP
|
| 2012 | J | jnl |
CoRR
|
| 2012 | — | conf |
ACSCC
|
| 2011 | — | conf |
ACSCC
|