Chopard, Daphné

9 publications

MLHC 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

ICLRW 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

MLHC 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

ICLR 2024 Deep Generative Clustering with Multimodal Diffusion Variational Autoencoders Emanuele Palumbo, Laura Manduchi, Sonia Laguna, Daphné Chopard, Julia E Vogt

NeurIPSW 2024 Towards Foundation Models for Critical Care Time Series Manuel Burger, Fedor Sergeev, Malte Londschien, Daphné Chopard, Hugo Yèche, Eike Christian Gerdes, Polina Leshetkina, Alexander Morgenroth, Zeynep Babür, Jasmina Bogojeska, Martin Faltys, Rita Kuznetsova, Gunnar Ratsch

NeurIPSW 2024 Towards Large-Scale Clinical Multi-Variate Time-Series Datasets Manuel Burger, Fedor Sergeev, Malte Londschien, Daphné Chopard, Hugo Yèche, Eike Christian Gerdes, Polina Leshetkina, Alexander Morgenroth, Zeynep Babür, Jasmina Bogojeska, Martin Faltys, Rita Kuznetsova, Gunnar Ratsch

NeurIPS 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

ICMLW 2023 Deep Generative Clustering with Multimodal Variational Autoencoders Emanuele Palumbo, Sonia Laguna, Daphné Chopard, Julia E Vogt

ICMLW 2023 Deep Generative Clustering with Multimodal Variational Autoencoders Emanuele Palumbo, Sonia Laguna, Daphné Chopard, Julia E Vogt