| Year | Rank | Type | Title / Venue / Authors |
|---|---|---|---|
| 2026 | J | jnl |
CoRR
|
| 2025 | A* | conf |
ICLR
|
| 2025 | J | jnl |
CoRR
|
| 2024 | J | jnl |
CoRR
|
| 2024 | A* | conf |
ICML
|
| 2024 | J | jnl |
CoRR
|
| 2024 | J | jnl |
Lecture Notes on Linear Neural Networks: A Tale of Optimization and Generalization in Deep Learning.
CoRR
|
| 2024 | A* | conf |
NeurIPS
|
| 2024 | J | jnl |
CoRR
|
| 2024 | J | jnl |
CoRR
|
| 2023 | A* | conf |
ICLR
|
| 2023 | A* | conf |
NeurIPS
|
| 2023 | A* | conf |
NeurIPS
|
| 2023 | J | jnl |
CoRR
|
| 2022 | A* | conf |
Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks.
ICML
|
| 2022 | J | jnl |
Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks.
CoRR
|
| 2022 | J | jnl |
CoRR
|
| 2022 | J | jnl |
CoRR
|
| 2022 | A | conf |
AISTATS
|
| 2022 | J | jnl |
CoRR
|
| 2021 | A* | conf |
NeurIPS
|
| 2021 | J | jnl |
CoRR
|
| 2021 | A* | conf |
ICML
|
| 2021 | J | jnl |
CoRR
|
| 2020 | A* | conf |
NeurIPS
|
| 2020 | J | jnl |
CoRR
|
| 2018 | — | conf |
ICLR
|
| 2018 | J | jnl |
CoRR
|
| 2018 | — | conf |
Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design.
ICLR (Poster)
|
| 2017 | J | jnl |
CoRR
|
| 2017 | J | jnl |
CoRR
|
| 2017 | J | jnl |
Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design.
CoRR
|
| 2017 | — | conf |
ICLR (Poster)
|
| 2016 | A* | conf |
ICML
|
| 2016 | J | jnl |
CoRR
|
| 2016 | A* | conf |
CVPR
|
| 2016 | J | jnl |
CoRR
|
| 2016 | A* | conf |
COLT
|
| 2016 | J | jnl |
CoRR
|
| 2015 | J | jnl |
CoRR
|
| 2015 | J | jnl |
CoRR
|
| 2014 | J | jnl |
CoRR
|
| 2012 | J | jnl |
IEEE Trans. Circuits Syst. I Regul. Pap.
|