Daphné Chopard

Postdoc, ETHZ - ETH Zurich

Postdoc, Kinderspital Zurich

Joined

January 2023

Names

Daphné Chopard (Preferred)

Emails

****@inf.ethz.ch (Confirmed)

****@cardiff.ac.uk (Confirmed)

****@kispi.uzh.ch (Confirmed)

Personal Links

Google Scholar

DBLP

ORCID

Career & Education History

Postdoc

ETHZ - ETH Zurich (ethz.ch)

2022 – Present

Postdoc

Kinderspital Zurich (kispi.uzh.ch)

2022 – Present

PhD student

Cardiff University (cardiff.ac.uk)

2018 – 2022

Advisors, Relations & Conflicts

No relations added

Expertise

Clinical NLP

Present

Deep Learning

Present

Publications

You Only Train Once: Differentiable Subset Selection for Omics Data
Daphné Chopard, Jorge da Silva Gonçalves, Irene Cannistraci, Thomas M. Sutter, Julia E Vogt
- Accepted by TMLR
- Readers: Everyone
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 2025 Workshop AI4CHL Oral
- Readers: Everyone
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
- AIM-FM Workshop @ NeurIPS'24 Oral
- Readers: Everyone
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 TSALM Workshop
- Readers: Everyone
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
- NeurIPS 2024 poster
- Readers: Everyone
Deep Generative Clustering with Multimodal Diffusion Variational Autoencoders
Emanuele Palumbo, Laura Manduchi, Sonia Laguna, Daphné Chopard, Julia E Vogt
- ICLR 2024 poster
- Readers: Everyone
Deep Generative Clustering with Multimodal Variational Autoencoders
Emanuele Palumbo, Sonia Laguna, Daphné Chopard, Julia E Vogt
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Deep Generative Clustering with Multimodal Variational Autoencoders
Emanuele Palumbo, Sonia Laguna, Daphné Chopard, Julia E Vogt
- DeployableGenerativeAI
- Readers: Everyone
Text Mining of Adverse Events in Clinical Trials: Deep Learning Approach
Daphné Chopard, Matthias S. Treder, Padraig Corcoran, Nagheen Ahmed, Claire Johnson, Monica Busse, Irena Spasic
- 13 May 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Learning Data Augmentation Schedules for Natural Language Processing
Daphné Chopard, Irena Spasić, Matthias S. Treder
- 13 May 2023
- OpenReview Archive Direct Upload
- Readers: Everyone

View all 12 publications

Co-Authors

View all 35 co-authors