| Year | Rank | Type | Title / Venue / Authors |
|---|---|---|---|
| 2026 | — | book |
Equivariant and Coordinate Independent Convolutional Networks
|
| 2026 | J | jnl |
Trans. Mach. Learn. Res.
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
Trans. Mach. Learn. Res.
|
| 2025 | J | jnl |
CoRR
|
| 2025 | — | conf |
CLeaR
|
| 2025 | A* | conf |
The Perils of Optimizing Learned Reward Functions: Low Training Error Does Not Guarantee Low Regret.
ICML
|
| 2024 | J | jnl |
CoRR
|
| 2024 | A* | conf |
ICLR
|
| 2024 | J | jnl |
CoRR
|
| 2024 | A* | conf |
ICML
|
| 2024 | J | jnl |
CoRR
|
| 2024 | A | conf |
AISTATS
|
| 2024 | — | conf |
FAccT
|
| 2024 | J | jnl |
Trans. Mach. Learn. Res.
|
| 2024 | A | conf |
UAI
|
| 2024 | A* | conf |
ICLR
|
| 2024 | A* | conf |
ICLR
|
| 2024 | J | jnl |
CoRR
|
| 2024 | J | jnl |
CoRR
|
| 2024 | J | jnl |
The Perils of Optimizing Learned Reward Functions: Low Training Error Does Not Guarantee Low Regret.
CoRR
|
| 2024 | J | jnl |
CoRR
|
| 2023 | J | jnl |
CoRR
|
| 2023 | J | jnl |
CoRR
|
| 2023 | A* | conf |
NeurIPS
|
| 2023 | J | jnl |
CoRR
|
| 2023 | A* | conf |
NeurIPS
|
| 2023 | J | jnl |
CoRR
|
| 2023 | J | jnl |
CoRR
|
| 2023 | J | jnl |
CoRR
|
| 2023 | A* | conf |
ICLR
|
| 2023 | J | jnl |
CoRR
|
| 2023 | J | jnl |
CoRR
|
| 2023 | A | conf |
UAI
|
| 2023 | A* | conf |
ICLR
|
| 2023 | J | jnl |
CoRR
|
| 2023 | J | jnl |
J. Cheminformatics
|
| 2023 | J | jnl |
CoRR
|
| 2022 | J | jnl |
CoRR
|
| 2022 | A* | conf |
NeurIPS
|
| 2022 | J | jnl |
CoRR
|
| 2022 | J | jnl |
Astron. Comput.
|
| 2022 | J | jnl |
CoRR
|
| 2022 | J | jnl |
Information Decomposition Diagrams Applied beyond Shannon Entropy: A Generalization of Hu's Theorem.
CoRR
|
| 2022 | J | jnl |
CoRR
|
| 2022 | J | jnl |
CoRR
|
| 2022 | J | jnl |
CoRR
|
| 2022 | J | jnl |
CoRR
|
| 2022 | J | jnl |
AI Commun.
|
| 2022 | A* | conf |
ICLR
|
| 2021 | A* | conf |
NeurIPS
|
| 2021 | J | jnl |
CoRR
|
| 2021 | A* | conf |
NeurIPS
|
| 2021 | J | jnl |
CoRR
|
| 2021 | J | jnl |
CoRR
|
| 2021 | J | jnl |
CoRR
|
| 2021 | A* | conf |
ICML
|
| 2021 | A* | conf |
ICML
|
| 2021 | J | jnl |
CoRR
|
| 2021 | A* | conf |
NeurIPS
|
| 2021 | J | jnl |
CoRR
|
| 2020 | J | jnl |
CoRR
|
| 2020 | — | conf |
BNAIC/BENELEARN (Selected Papers)
|
| 2020 | J | jnl |
CoRR
|
| 2020 | J | jnl |
CoRR
|
| 2020 | A* | conf |
ICLR
|
| 2020 | J | jnl |
CoRR
|
| 2020 | J | jnl |
CoRR
|
| 2020 | J | jnl |
CoRR
|
| 2020 | J | jnl |
CoRR
|
| 2019 | A | conf |
UAI
|
| 2019 | J | jnl |
CoRR
|
| 2019 | A | conf |
AISTATS
|
| 2019 | J | jnl |
CoRR
|
| 2019 | A | conf |
UAI
|
| 2018 | A | conf |
UAI
|
| 2018 | J | jnl |
CoRR
|
| 2018 | J | jnl |
CoRR
|
| 2018 | J | jnl |
CoRR
|