Moritz Vandenhirtz

28 papers A* 6Journal 21Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Foundation Model for Cardiac Time Series via Masked Latent Attention.
CoRR
Moritz Vandenhirtz, Samuel Ruipérez-Campillo, Simon Böhi, Sonia Laguna, Irene Cannistraci, Andrea Agostini, Ece Ozkan, Thomas M. Sutter, Julia E. Vogt
2026 J jnl
Multimodal Generative Recommendation for Fusing Semantic and Collaborative Signals.
CoRR
Moritz Vandenhirtz, Kaveh Hassani, Shervin Ghasemlou, Shuai Shao, Hamid Eghbalzadeh, Fuchun Peng, Jun Liu, Michael Louis Iuzzolino
2026 J jnl
Rethinking Machine Unlearning: Models Designed to Forget via Key Deletion.
CoRR
Sonia Laguna, Jorge da Silva Goncalves, Moritz Vandenhirtz, Alain Ryser, Irene Cannistraci, Julia E. Vogt
2026 J jnl
Structure is Supervision: Multiview Masked Autoencoders for Radiology.
Trans. Mach. Learn. Res.
Sonia Laguna, Andrea Agostini, Alain Ryser, Samuel Ruipérez-Campillo, Irene Cannistraci, Moritz Vandenhirtz, Stephan Mandt, Nicolas Deperrois, Farhad Nooralahzadeh, Michael Krauthammer, Thomas M. Sutter, Julia E. Vogt
2025 A* conf
From Logits to Hierarchies: Hierarchical Clustering made Simple.
ICML
Emanuele Palumbo, Moritz Vandenhirtz, Alain Ryser, Imant Daunhawer, Julia E. Vogt
2025 A* conf
From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection.
ICML
Moritz Vandenhirtz, Julia E. Vogt
2025 J jnl
From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection.
CoRR
Moritz Vandenhirtz, Julia E. Vogt
2025 J jnl
Interpretable Diffusion Models with B-cos Networks.
CoRR
Nicola Bernold, Moritz Vandenhirtz, Alice Bizeul, Julia E. Vogt
2025 J jnl
Leveraging the Structure of Medical Data for Improved Representation Learning.
CoRR
Andrea Agostini, Sonia Laguna, Alain Ryser, Samuel Ruipérez-Campillo, Moritz Vandenhirtz, Nicolas Deperrois, Farhad Nooralahzadeh, Michael Krauthammer, Thomas M. Sutter, Julia E. Vogt
2025 J jnl
Measuring Leakage in Concept-Based Methods: An Information Theoretic Approach.
CoRR
Mikael Makonnen, Moritz Vandenhirtz, Sonia Laguna, Julia E. Vogt
2025 J jnl
Post-hoc Stochastic Concept Bottleneck Models.
CoRR
Wiktor Jan Hoffmann, Sonia Laguna, Moritz Vandenhirtz, Emanuele Palumbo, Julia E. Vogt
2025 J jnl
RadVLM: A Multitask Conversational Vision-Language Model for Radiology.
CoRR
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 J jnl
Structure is Supervision: Multiview Masked Autoencoders for Radiology.
CoRR
Sonia Laguna, Andrea Agostini, Alain Ryser, Samuel Ruipérez-Campillo, Irene Cannistraci, Moritz Vandenhirtz, Stephan Mandt, Nicolas Deperrois, Farhad Nooralahzadeh, Michael Krauthammer, Thomas M. Sutter, Julia E. Vogt
2025 — conf
TreeDiffusion: Hierarchical Generative Clustering for Conditional Diffusion.
ECML/PKDD (1)
Jorge da Silva Goncalves, Laura Manduchi, Moritz Vandenhirtz, Julia E. Vogt
2024 A* conf
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?
NeurIPS
Sonia Laguna, Ricards Marcinkevics, Moritz Vandenhirtz, Julia E. Vogt
2024 J jnl
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?
CoRR
Ricards Marcinkevics, Sonia Laguna, Moritz Vandenhirtz, Julia E. Vogt
2024 J jnl
Exploiting Interpretable Capabilities with Concept-Enhanced Diffusion and Prototype Networks.
CoRR
Alba Carballo-Castro, Sonia Laguna, Moritz Vandenhirtz, Julia E. Vogt
2024 J jnl
From Logits to Hierarchies: Hierarchical Clustering made Simple.
CoRR
Emanuele Palumbo, Moritz Vandenhirtz, Alain Ryser, Imant Daunhawer, Julia E. Vogt
2024 J jnl
Hierarchical Clustering for Conditional Diffusion in Image Generation.
CoRR
Jorge da Silva Goncalves, Laura Manduchi, Moritz Vandenhirtz, Julia E. Vogt
2024 A* conf
Stochastic Concept Bottleneck Models.
NeurIPS
Moritz Vandenhirtz, Sonia Laguna, Ricards Marcinkevics, Julia E. Vogt
2024 J jnl
Stochastic Concept Bottleneck Models.
CoRR
Moritz Vandenhirtz, Sonia Laguna, Ricards Marcinkevics, Julia E. Vogt
2024 J jnl
Structured Generations: Using Hierarchical Clusters to guide Diffusion Models.
CoRR
Jorge da Silva Goncalves, Laura Manduchi, Moritz Vandenhirtz, Julia E. Vogt
2024 J jnl
scTree: Discovering Cellular Hierarchies in the Presence of Batch Effects in scRNA-seq Data.
CoRR
Moritz Vandenhirtz, Florian Barkmann, Laura Manduchi, Julia E. Vogt, Valentina Boeva
2023 J jnl
Signal Is Harder To Learn Than Bias: Debiasing with Focal Loss.
CoRR
Moritz Vandenhirtz, Laura Manduchi, Ricards Marcinkevics, Julia E. Vogt
2023 A* conf
This Reads Like That: Deep Learning for Interpretable Natural Language Processing.
EMNLP
Claudio Fanconi, Moritz Vandenhirtz, Severin Husmann, Julia E. Vogt
2023 J jnl
This Reads Like That: Deep Learning for Interpretable Natural Language Processing.
CoRR
Claudio Fanconi, Moritz Vandenhirtz, Severin Husmann, Julia E. Vogt
2023 A* conf
Tree Variational Autoencoders.
NeurIPS
Laura Manduchi, Moritz Vandenhirtz, Alain Ryser, Julia E. Vogt
2023 J jnl
Tree Variational Autoencoders.
CoRR
Laura Manduchi, Moritz Vandenhirtz, Alain Ryser, Julia E. Vogt