Riccardo Cadei
5 Publications
2025 |
Published |
Conference Paper |
IST-REx-ID: 19010 |
Yao, D., Rancati, D., Cadei, R., Fumero, M., & Locatello, F. (2025). Unifying causal representation learning with the invariance principle. In 13th International Conference on Learning Representations. Singapore: ICLR.
[Published Version]
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| Files available
| arXiv
2025 |
Epub ahead of print |
Conference Paper |
IST-REx-ID: 21068 |
Yao, D., Huang, S., Cadei, R., Zhang, K., & Locatello, F. (2025). The third pillar of causal analysis? A measurement perspective on causal representations. In 39th Annual Conference on Neural Information Processing Systems (Vol. 38). San Diego, CA, United States: Neural Information Processing Systems Foundation.
[Preprint]
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| Download Preprint (ext.)
| arXiv
2025 |
Epub ahead of print |
Conference Paper |
IST-REx-ID: 21076 |
Cadei, R., Demirel, I., De Bartolomeis, P., Lindorfer, L., Cremer, S., Schmid, C., & Locatello, F. (2025). Prediction-powered causal inferences. In 39th Annual Conference on Neural Information Processing Systems (Vol. 38). San Diego, CA, United States: Neural Information Processing Systems Foundation.
[Published Version]
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| Files available
2024 |
Published |
Conference Paper |
IST-REx-ID: 18847 |
Cadei, R., Lindorfer, L., Cremer, S., Schmid, C., & Locatello, F. (2024). Smoke and mirrors in causal downstream tasks. In ICML 2024 Workshop AI4Science (Vol. 38). Curran Associates.
[Published Version]
View
| Files available
| arXiv
2024 |
Research Data Reference |
IST-REx-ID: 18895 |
Cadei, R., Locatello, F., Cremer, S., Lindorfer, L., & Schmid, C. (2024). ISTAnt. Institute of Science and Technology Austria. https://doi.org/10.6084/M9.FIGSHARE.26484934.V2
[Published Version]
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| Files available
| DOI
| Download Published Version (ext.)
Grants
5 Publications
2025 |
Published |
Conference Paper |
IST-REx-ID: 19010 |
Yao, D., Rancati, D., Cadei, R., Fumero, M., & Locatello, F. (2025). Unifying causal representation learning with the invariance principle. In 13th International Conference on Learning Representations. Singapore: ICLR.
[Published Version]
View
| Files available
| arXiv
2025 |
Epub ahead of print |
Conference Paper |
IST-REx-ID: 21068 |
Yao, D., Huang, S., Cadei, R., Zhang, K., & Locatello, F. (2025). The third pillar of causal analysis? A measurement perspective on causal representations. In 39th Annual Conference on Neural Information Processing Systems (Vol. 38). San Diego, CA, United States: Neural Information Processing Systems Foundation.
[Preprint]
View
| Files available
| Download Preprint (ext.)
| arXiv
2025 |
Epub ahead of print |
Conference Paper |
IST-REx-ID: 21076 |
Cadei, R., Demirel, I., De Bartolomeis, P., Lindorfer, L., Cremer, S., Schmid, C., & Locatello, F. (2025). Prediction-powered causal inferences. In 39th Annual Conference on Neural Information Processing Systems (Vol. 38). San Diego, CA, United States: Neural Information Processing Systems Foundation.
[Published Version]
View
| Files available
2024 |
Published |
Conference Paper |
IST-REx-ID: 18847 |
Cadei, R., Lindorfer, L., Cremer, S., Schmid, C., & Locatello, F. (2024). Smoke and mirrors in causal downstream tasks. In ICML 2024 Workshop AI4Science (Vol. 38). Curran Associates.
[Published Version]
View
| Files available
| arXiv
2024 |
Research Data Reference |
IST-REx-ID: 18895 |
Cadei, R., Locatello, F., Cremer, S., Lindorfer, L., & Schmid, C. (2024). ISTAnt. Institute of Science and Technology Austria. https://doi.org/10.6084/M9.FIGSHARE.26484934.V2
[Published Version]
View
| Files available
| DOI
| Download Published Version (ext.)