Dingling Yao
Graduate School
Locatello Group
4 Publications
2024 | Published | Conference Paper | IST-REx-ID: 14946 | 
Yao D, Xu D, Lachapelle S, Magliacane S, Taslakian P, Martius G, Kügelgen J von, Locatello F. 2024. Multi-view causal representation learning with partial observability. 12th International Conference on Learning Representations. ICLR: International Conference on Learning Representations.
[Published Version]
View
| Files available
| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 19005 |
Yao, Dingling, Marrying causal representation learning with dynamical systems for science. 38th Conference on Neural Information Processing Systems 37. 2024
[Published Version]
View
| Files available
| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 19010 |
Yao D, Rancati D, Cadei R, Fumero M, Locatello F. 2024. Unifying causal representation learning with the invariance principle. 38th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 37.
[Published Version]
View
| Files available
| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14958 |
Xu D, Yao D, Lachapelle S, Taslakian P, von Kügelgen J, Locatello F, Magliacane S. 2023. A sparsity principle for partially observable causal representation learning. Causal Representation Learning Workshop at NeurIPS 2023. CRL: Causal Representation Learning Workshop at NeurIPS, 54.
[Published Version]
View
| Files available
| Download Published Version (ext.)
Search
Filter Publications
Display / Sort
Export / Embed
Grants
4 Publications
2024 | Published | Conference Paper | IST-REx-ID: 14946 |
Yao D, Xu D, Lachapelle S, Magliacane S, Taslakian P, Martius G, Kügelgen J von, Locatello F. 2024. Multi-view causal representation learning with partial observability. 12th International Conference on Learning Representations. ICLR: International Conference on Learning Representations.
[Published Version]
View
| Files available
| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 19005 |
Yao, Dingling, Marrying causal representation learning with dynamical systems for science. 38th Conference on Neural Information Processing Systems 37. 2024
[Published Version]
View
| Files available
| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 19010 |
Yao D, Rancati D, Cadei R, Fumero M, Locatello F. 2024. Unifying causal representation learning with the invariance principle. 38th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 37.
[Published Version]
View
| Files available
| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14958 |
Xu D, Yao D, Lachapelle S, Taslakian P, von Kügelgen J, Locatello F, Magliacane S. 2023. A sparsity principle for partially observable causal representation learning. Causal Representation Learning Workshop at NeurIPS 2023. CRL: Causal Representation Learning Workshop at NeurIPS, 54.
[Published Version]
View
| Files available
| Download Published Version (ext.)