Francesco De Santis

Publications
(2026). Mixture of Concept Bottleneck Experts. CoRR.
(2025). Causally Reliable Concept Bottleneck Models. Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, NeurIPS 2025, San Diego, CA, USA, December 2-7, 2025 / Mexico City, Mexico, November 30 - December 5, 2025.
URL
(2025). Causally Reliable Concept Bottleneck Models. CoRR.
(2025). Linearly-interpretable concept embedding models for text analysis. Mach. Learn..
(2025). Neural Interpretable Reasoning. CoRR.
(2025). Towards Better Generalization and Interpretability in Unsupervised Concept-Based Models. Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part III.
(2025). Towards Better Generalization and Interpretability in Unsupervised Concept-Based Models. CoRR.
(2024). Self-supervised Interpretable Concept-based Models for Text Classification. CoRR.