📝 All Publications

(2025). Interpretable Reward Modeling with Active Concept Bottlenecks. In ICML 2025 Workshop PRAL.
(2025). Leveraging the Structure of Medical Data for Improved Representation Learning. In ICML 2025 Workshop FM4LS.
(2025). Towards Scalable Newborn Screening: Automated General Movement Assessment in Uncontrolled Settings. In Proceedings of Machine Learning Research - Machine Learning for Healthcare 2025, previous version in ICLR 2025 (Best Paper Award - Oral) Workshop AI4CHL and Findings ML4H Symposium colocated with NeurIPS 2024.
(2025). Text To 3D Object Generation For Scalable Room Assembly. In ICLR 2025 Workshop Synth Data.
(2025). Measuring Leakage in Concept-Based Methods: An Information Theoretic Approach. In ICLR 2025 Workshop XAI4Science.
(2025). Beyond Glucose-Only Assessment: Advancing Nocturnal Hypoglycemia Prediction in Children with Type 1 Diabetes. In ICLR 2025 Workshop AI4CHL.
(2025). Uncertainty Estimation for Trust Attribution to Speed-of-Sound Reconstruction with Variational Networks. In International Journal of Computer Assisted Radiology and Surgery and in 16th International Conference on Information Processing in Computer-Assisted Interventions.
(2025). RadVLM: A Multitask Conversational Vision-Language Model for Radiology. Preprint - Arxiv.
(2024). Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable. In NeurIPS 2024.
(2024). Stochastic Concept Bottleneck Models. In NeurIPS 2024.