Pubblicazioni
2025
Ordonez-Apraez D., Kostic V. R., Fröhlich A., Lounici K., Pontil M.
Equivariant Representation Learning for Symmetry-Aware Inference with Guarantees
Workshop on Making Sense of Data in Robotics: Composition, Curation, and Interpretability at Scale at CoRL 2025
Conference Paper
Conference
2025
Frohlich A., Ramos T., Motta Cabello Dos Santos G., Panzeri I., Buzatto C., Izbicki R., Tiezzi D. G.
PersonalizedUS: Interpretable Breast Cancer Risk Assessment with Local Coverage Uncertainty Quantification
The Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI-25)
Conference Paper
Conference
2025
Frohlich A., Ramos T., Dos Santos G.M.C., Buzatto I.P.C., Izbicki R., Tiezzi D.G.
PersonalizedUS: Interpretable Breast Cancer Risk Assessment with Local Coverage Uncertainty Quantification
Proceedings of the AAAI Conference on Artificial Intelligence, vol. 39, (no. 27), pp. 27998-28006
2025
Fröhlich A., Kostic V. R., Lounici K., Perazzo D., Pontil M.
Toward Scalable and Valid Conditional Independence Testing with Spectral Features
EurIPS 2025 Workshop Causality for Impact
Conference Paper
Conference
2025
Ordonez-Apraez D., Kostic R. V., Fröhlich A., Lounici K., Pontil M.
Unifying Regression and Uncertainty Quantification with Contrastive Spectral Representation Learning
NeurIPS 2025 Workshop on Symmetry and Geometry in Neural Representations
Conference Paper
Conference