Moritz Vandenhirtz

According to our database, Moritz Vandenhirtz authored at least 10 papers between 2023 and 2024.

Collaborative distances:

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

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

CoRR, 2024

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

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

CoRR, 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