This Reads Like That: Deep Learning for Interpretable Natural Language Processing. - Claudio Fanconi; Moritz Vandenhirtz; Severin Husmann; Julia E. Vogt (EMNLP, 2023)

Tree Variational Autoencoders. - Laura Manduchi; Moritz Vandenhirtz; Alain Ryser; Julia E. Vogt (NeurIPS, 2023)

Signal Is Harder To Learn Than Bias: Debiasing with Focal Loss. - Moritz Vandenhirtz; Laura Manduchi; Ricards Marcinkevics; Julia E. Vogt (CoRR, 2023)

Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable? - Sonia Laguna; Ricards Marcinkevics; Moritz Vandenhirtz; Julia E. Vogt (NeurIPS, 2024)

Stochastic Concept Bottleneck Models. - Moritz Vandenhirtz; Sonia Laguna; Ricards Marcinkevics; Julia E. Vogt (NeurIPS, 2024)

scTree: Discovering Cellular Hierarchies in the Presence of Batch Effects in scRNA-seq Data. - Moritz Vandenhirtz; Florian Barkmann; Laura Manduchi; Julia E. Vogt; Valentina Boeva (CoRR, 2024)

Structured Generations: Using Hierarchical Clusters to guide Diffusion Models. - Jorge da Silva Goncalves; Laura Manduchi; Moritz Vandenhirtz; Julia E. Vogt (CoRR, 2024)

From Logits to Hierarchies: Hierarchical Clustering made Simple. - Emanuele Palumbo; Moritz Vandenhirtz; Alain Ryser; Imant Daunhawer; Julia E. Vogt (CoRR, 2024)

Hierarchical Clustering for Conditional Diffusion in Image Generation. - Jorge da Silva Goncalves; Laura Manduchi; Moritz Vandenhirtz; Julia E. Vogt (CoRR, 2024)

Exploiting Interpretable Capabilities with Concept-Enhanced Diffusion and Prototype Networks. - Alba Carballo-Castro; Sonia Laguna; Moritz Vandenhirtz; Julia E. Vogt (CoRR, 2024)

RadVLM: A Multitask Conversational Vision-Language Model for Radiology. - 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; et al. (CoRR, 2025)

Measuring Leakage in Concept-Based Methods: An Information Theoretic Approach. - Mikael Makonnen; Moritz Vandenhirtz; Sonia Laguna; Julia E. Vogt (CoRR, 2025)

From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection. - Moritz Vandenhirtz; Julia E. Vogt (CoRR, 2025)

Leveraging the Structure of Medical Data for Improved Representation Learning. - Andrea Agostini; Sonia Laguna; Alain Ryser; Samuel Ruipérez-Campillo; Moritz Vandenhirtz; Nicolas Deperrois; Farhad Nooralahzadeh; Michael Krauthammer; Thomas M. Sutter; Julia E. Vogt (CoRR, 2025)

Interpretable Diffusion Models with B-cos Networks. - Nicola Bernold; Moritz Vandenhirtz; Alice Bizeul; Julia E. Vogt (CoRR, 2025)