Publications

Mikael Makonnen, Moritz Vandenhirtz, Sonia Laguna, Julia E Vogt (2025). Measuring Leakage in Concept-Based Methods: An Information Theoretic Approach. XAI4Science Workshop at ICLR 2025.
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Jorge Da Silva Gonçalves, Laura Manduchi, Moritz Vandenhirtz, Julia E Vogt (2025). TreeDiffusion: Hierarchical Generative Clustering for Conditional Diffusion. Joint European Conference on Machine Learning and Knowledge Discovery in Databases.
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Nicolas Deperrois, Hidetoshi Matsuo, Samuel Ruipérez-Campillo, Moritz Vandenhirtz, Sonia Laguna, Alain Ryser, Koji Fujimoto, Mizuho Nishio, Thomas M Sutter, Julia E Vogt, Jonas Kluckert, Thomas Frauenfelder, Christian Blüthgen, Farhad Nooralahzadeh, Michael Krauthammer (2025). RadVLM: A multitask conversational vision-language model for radiology. preprint.
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Moritz Vandenhirtz*, Sonia Laguna*, Ričards Marcinkevičs, Julia E Vogt (2024). Stochastic Concept Bottleneck Models. Advances in Neural Information Processing Systems 37 (NeurIPS 2024).
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Sonia Laguna*, Ričards Marcinkevičs*, Moritz Vandenhirtz, Julia E Vogt (2024). Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?. Advances in Neural Information Processing Systems 37 (NeurIPS 2024).
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Alba Carballo-Castro, Sonia Laguna, Moritz Vandenhirtz, Julia E Vogt (2024). Exploiting Interpretable Capabilities with Concept-Enhanced Diffusion and Prototype Networks. Oral @ Interpretable AI Workshop at NeurIPS 2024.
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Moritz Vandenhirtz*, Florian Barkmann*, Laura Manduchi, Julia E Vogt, Valentina Boeva (2024). scTree: Discovering Cellular Hierarchies in the Presence of Batch Effects in scRNA-seq Data. Oral @ Efficient Foundation Models for Biological Discovery Workshop at ICML 2024.
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Laura Manduchi*, Moritz Vandenhirtz*, Alain Ryser, Julia Vogt (2023). Tree Variational Autoencoders. Spotlight @ Advances in Neural Information Processing Systems 36 (NeurIPS 2023).
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Claudio Fanconi*, Moritz Vandenhirtz*, Severin Husmann, Julia E Vogt (2023). This Reads Like That: Deep Learning for Interpretable Natural Language Processing. Empirical Methods in Natural Language Processing.
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Moritz Vandenhirtz, Laura Manduchi, Ričards Marcinkevičs, Julia E Vogt (2023). Signal Is Harder To Learn Than Bias: Debiasing with Focal Loss. Spotlight @ Domain Generalization Workshop at ICLR 2023.
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