Publications
2024
Towards Foundation Models for Critical Care Time Series
(Best Paper Award)
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
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
AIM-FM @ NeurIPS 2024
Multi-Modal Contrastive Learning for Online Clinical Time-Series Applications
Fabian Baldenweg, Manuel Burger, Gunnar Rätsch, Rita Kuznetsova
Fabian Baldenweg, Manuel Burger, Gunnar Rätsch, Rita Kuznetsova
TS4H @ ICLR 2024
Dynamic Survival Analysis for Early Event Prediction
Hugo Yèche*, Manuel Burger*, Dinara Veshchezerova, Gunnar Rätsch
Hugo Yèche*, Manuel Burger*, Dinara Veshchezerova, Gunnar Rätsch
CHIL 2024 (PMLR)
FAMEWS: a Fairness Auditing tool for Medical Early-Warning Systems
Marine Hoche, Olga Mineeva, Manuel Burger, Alessandro Blasimme, Gunnar Rätsch
Marine Hoche, Olga Mineeva, Manuel Burger, Alessandro Blasimme, Gunnar Rätsch
CHIL 2024 (PMLR)
RMS: A ML-based system for ICU Respiratory Monitoring and Resource Planning
Matthias Hüser, Xinrui Lyu, Martin Faltys, Alizée Pace, David Berger, Marine Hoche, Stephanie L Hyland, Hugo Yèche, Manuel Burger, Tobias M Merz, Gunnar Rätsch
Matthias Hüser, Xinrui Lyu, Martin Faltys, Alizée Pace, David Berger, Marine Hoche, Stephanie L Hyland, Hugo Yèche, Manuel Burger, Tobias M Merz, Gunnar Rätsch
medRxiv
Learning Genomic Sequence Representations using Graph Neural Networks over De Bruijn Graphs
Kacper Kapuśniak, Manuel Burger, Gunnar Rätsch, Amir Joudaki
Kacper Kapuśniak, Manuel Burger, Gunnar Rätsch, Amir Joudaki
GLFrontiers @ NeurIPS 2023
2023
On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series
Rita Kuznetsova*, Alizée Pace*, Manuel Burger*, Hugo Yèche, Gunnar Rätsch
Rita Kuznetsova*, Alizée Pace*, Manuel Burger*, Hugo Yèche, Gunnar Rätsch
ML4H 2023 (PMLR)
ML4H 2023 (PMLR)
Knowledge Graph Representations to enhance Intensive Care Time-Series Predictions
Samyak Jain, Manuel Burger, Gunnar Rätsch, Rita Kuznetsova
Samyak Jain, Manuel Burger, Gunnar Rätsch, Rita Kuznetsova
Findings Track @ ML4H 2023
Language Model Training Paradigms for Clinical Feature Embeddings
Yurong Hu, Manuel Burger, Gunnar Rätsch, Rita Kuznetsova
Yurong Hu, Manuel Burger, Gunnar Rätsch, Rita Kuznetsova
SSL @ NeurIPS 2023
2022
Python FPGA Programming with Data-Centric Multi-Level Design
Johannes de Fine Licht, Tiziano De Matteis, Tal Ben-Nun, Andreas Kuster, Oliver Rausch, Manuel Burger, Carl-Johannes Johnsen, Torsten Hoefler
Johannes de Fine Licht, Tiziano De Matteis, Tal Ben-Nun, Andreas Kuster, Oliver Rausch, Manuel Burger, Carl-Johannes Johnsen, Torsten Hoefler
arXiv