Sonia Laguna

According to our database, Sonia Laguna authored at least 23 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures.

Eleonora Gualdoni, Sonia Laguna, Louis Béthune, João Monteiro, Pierre Ablin, Marco Cuturi

CoRR, May, 2026

Beyond Independent Frames: Latent Attention Masked Autoencoders for Multi-View Echocardiography.

Simon Böhi, Irene Cannistraci, Sergio Muñoz Gonzalez, Moritz Vandenhirtz, Sonia Laguna, Samuel Ruipérez-Campillo, Max Krähenmann, Andrea Agostini, Ece Ozkan, Thomas M. Sutter, Julia E. Vogt

CoRR, April, 2026

Foundation Model for Cardiac Time Series via Masked Latent Attention.

Moritz Vandenhirtz, Samuel Ruipérez-Campillo, Simon Böhi, Sonia Laguna, Irene Cannistraci, Andrea Agostini, Ece Ozkan, Thomas M. Sutter, Julia E. Vogt

CoRR, March, 2026

Rethinking Machine Unlearning: Models Designed to Forget via Key Deletion.

Sonia Laguna, Jorge da Silva Goncalves, Moritz Vandenhirtz, Alain Ryser, Irene Cannistraci, Julia E. Vogt

CoRR, March, 2026

Reference-Guided Machine Unlearning.

Jonas Mirlach, Sonia Laguna, Julia E. Vogt

CoRR, March, 2026

Structure is Supervision: Multiview Masked Autoencoders for Radiology.

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

Trans. Mach. Learn. Res., 2026

Steering Generative Models for Accessibility: EasyRead Image Generation.

Nicolas Dickenmann, Yanis Merzouki, Sonia Laguna, Thy Nowak-Tran, Emanuele Palumbo, Julia E. Vogt, Gerda Binder

Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025

Post-hoc Stochastic Concept Bottleneck Models.

Wiktor Jan Hoffmann, Sonia Laguna, Moritz Vandenhirtz, Emanuele Palumbo, Julia E. Vogt

CoRR, October, 2025

Interpretable Reward Modeling with Active Concept Bottlenecks.

Sonia Laguna, Katarzyna Kobalczyk, Julia E. Vogt, Mihaela van der Schaar

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

Uncertainty estimation for trust attribution to speed-of-sound reconstruction with variational networks.

Sonia Laguna, Lin Zhang, Can Deniz Bezek, Monika Farkas, Dieter Schweizer, Rahel A. Kubik-Huch, Orcun Goksel

Int. J. Comput. Assist. Radiol. Surg., July, 2025

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

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

CoRR, April, 2025

Text To 3D Object Generation For Scalable Room Assembly.

Sonia Laguna, Alberto Garcia-Garcia, Marie-Julie Rakotosaona, Stylianos Moschoglou, Leonhard Helminger, Sergio Orts-Escolano

CoRR, April, 2025

Beyond Glucose-Only Assessment: Advancing Nocturnal Hypoglycemia Prediction in Children with Type 1 Diabetes.

Marco Voegeli, Sonia Laguna, Heike Leutheuser, Marc Pfister, Marie-Anne Burckhardt, 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

Towards Scalable Newborn Screening: Automated General Movement Assessment in Uncontrolled Settings.

Daphné Chopard, Sonia Laguna, Kieran Chin-Cheong, Annika Dietz, Anna Badura, Sven Wellmann, Julia E. Vogt

Proceedings of the Machine Learning for Healthcare Conference (MLHC 2025), 2025

2024

Automatic Classification of General Movements in Newborns.

Daphné Chopard, Sonia Laguna, Kieran Chin-Cheong, Annika Dietz, Anna Badura, Sven Wellmann, 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

Stochastic Concept Bottleneck Models.

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

Proceedings of the Advances in Neural Information Processing Systems 37: 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 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Deep Generative Clustering with Multimodal Diffusion Variational Autoencoders.

Emanuele Palumbo, Laura Manduchi, Sonia Laguna, Daphné Chopard, Julia E. Vogt

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

ExpLIMEable: A Visual Analytics Approach for Exploring LIME.

Sonia Laguna, Julian N. Heidenreich, Jiugeng Sun, Nilüfer Cetin, Ibrahim Al Hazwani, Udo Schlegel, Furui Cheng, Mennatallah El-Assady

Proceedings of the Workshop on Visual Analytics in Healthcare, 2023

2022

Accurate super-resolution low-field brain MRI.

Juan Eugenio Iglesias, Riana Schleicher, Sonia Laguna, Benjamin Billot, Pamela Schaefer, Brenna McKaig, Joshua N. Goldstein, Kevin N. Sheth, Matthew S. Rosen, W. Taylor Kimberly

CoRR, 2022