Daphné Chopard

According to our database, Daphné Chopard authored at least 11 papers between 2019 and 2025.

Collaborative distances:

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

2025

You Only Train Once: Differentiable Subset Selection for Omics Data.

Daphné Chopard, Jorge da Silva Goncalves, Irene Cannistraci, Thomas M. Sutter, Julia E. Vogt

CoRR, December, 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

PhenoRAG: Retrieval-Augmented Generation for Efficient Zero-Shot Phenotype Identification in Clinical Reports.

Marc Berndt, Andrea Agostini, Beatrice Stocker, Maria Padrutt, Silvio Daniel Brugger, D Sean Froese, Daphné Chopard, Julia E. Vogt

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

2024

Word sense disambiguation of acronyms in clinical narratives.

Daphné Chopard, Padraig Corcoran, Irena Spasic

Frontiers Digit. Health, 2024

Towards Foundation Models for Critical Care Time Series.

Manuel Burger, Fedor Sergeev, Malte Londschien, Daphné Chopard, Hugo Yèche, Eike Gerdes, Polina Leshetkina, Alexander Morgenroth, Zeynep Babür, Jasmina Bogojeska, Martin Faltys, Rita Kuznetsova, Gunnar Rätsch

CoRR, 2024

Weakly-Supervised Multimodal Learning on MIMIC-CXR.

Andrea Agostini, Daphné Chopard, Yang Meng, Norbert Fortin, Babak Shahbaba, Stephan Mandt, Thomas M. Sutter, Julia E. Vogt

CoRR, 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

Unity by Diversity: Improved Representation Learning for Multimodal VAEs.

Thomas M. Sutter, Yang Meng, Andrea Agostini, Daphné Chopard, Norbert Fortin, Julia E. Vogt, Babak Shahbaba, Stephan Mandt

Proceedings of the Advances in Neural Information Processing Systems 38: 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

2022

Simulation and annotation of global acronyms.

Maxim Filimonov, Daphné Chopard, Irena Spasic

Bioinform., 2022

2019

A Deep Learning Approach to Self-expansion of Abbreviations Based on Morphology and Context Distance.

Daphné Chopard, Irena Spasic

Proceedings of the Statistical Language and Speech Processing, 2019