Moritz Vandenhirtz

According to our database, Moritz Vandenhirtz authored at least 16 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Interpretable Diffusion Models with B-cos Networks.

Nicola Bernold, Moritz Vandenhirtz, Alice Bizeul, Julia E. Vogt

CoRR, July, 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, July, 2025

From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection.

Moritz Vandenhirtz, Julia E. Vogt

CoRR, May, 2025

Measuring Leakage in Concept-Based Methods: An Information Theoretic Approach.

Mikael Makonnen, Moritz Vandenhirtz, Sonia Laguna, Julia E. Vogt

CoRR, April, 2025

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, Christian Blüthgen, Farhad Nooralahzadeh, Michael Krauthammer

CoRR, February, 2025

TreeDiffusion: Hierarchical Generative Clustering for Conditional Diffusion.

Jorge da Silva Goncalves, Laura Manduchi, Moritz Vandenhirtz, Julia E. Vogt

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

2024

Exploiting Interpretable Capabilities with Concept-Enhanced Diffusion and Prototype Networks.

Alba Carballo-Castro, Sonia Laguna, Moritz Vandenhirtz, 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

From Logits to Hierarchies: Hierarchical Clustering made Simple.

Emanuele Palumbo, Moritz Vandenhirtz, Alain Ryser, Imant Daunhawer, Julia E. Vogt

CoRR, 2024

Structured Generations: Using Hierarchical Clusters to guide Diffusion Models.

Jorge da Silva Goncalves, Laura Manduchi, Moritz Vandenhirtz, Julia E. Vogt

CoRR, 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

Stochastic Concept Bottleneck Models.

Moritz Vandenhirtz, Sonia Laguna, Ricards Marcinkevics, Julia E. Vogt

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?

Sonia Laguna, Ricards Marcinkevics, Moritz Vandenhirtz, Julia E. Vogt

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Signal Is Harder To Learn Than Bias: Debiasing with Focal Loss.

Moritz Vandenhirtz, Laura Manduchi, Ricards Marcinkevics, Julia E. Vogt

CoRR, 2023

Tree Variational Autoencoders.

Laura Manduchi, Moritz Vandenhirtz, Alain Ryser, Julia E. Vogt

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

This Reads Like That: Deep Learning for Interpretable Natural Language Processing.

Claudio Fanconi, Moritz Vandenhirtz, Severin Husmann, Julia E. Vogt

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023