Publications

(2025). From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection. International Conference on Machine Learning 2025.
(2025). From Logits to Hierarchies: Hierarchical Clustering made Simple. International Conference on Machine Learning 2025.
(2025). Interpretable Diffusion Models with B-cos Networks. Actionable Interpretability Workshop at ICML 2025.
(2025). Post-hoc Stochastic Concept Bottleneck Models. preprint.
(2025). Structure is Supervision: Multiview Masked Autoencoders for Radiology. preprint.
(2025). Leveraging the structure of medical data for improved representation learning. preprint.
(2025). Measuring Leakage in Concept-Based Methods: An Information Theoretic Approach. XAI4Science Workshop at ICLR 2025.
(2025). TreeDiffusion: Hierarchical Generative Clustering for Conditional Diffusion. Joint European Conference on Machine Learning and Knowledge Discovery in Databases.
(2025). RadVLM: A multitask conversational vision-language model for radiology. preprint.
(2024). Stochastic Concept Bottleneck Models. Advances in Neural Information Processing Systems 37 (NeurIPS 2024).