Manuel Burger

According to our database, Manuel Burger authored at least 16 papers between 2016 and 2025.

Collaborative distances:

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

2025

Data-Driven Discovery of Feature Groups in Clinical Time Series.

Fedor Sergeev, Manuel Burger, Polina Leshetkina, Vincent Fortuin, Gunnar Rätsch, Rita Kuznetsova

CoRR, November, 2025

Domain Generalization and Adaptation in Intensive Care with Anchor Regression.

Malte Londschien, Manuel Burger, Gunnar Rätsch, Peter Bühlmann

CoRR, July, 2025

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

npj Digit. Medicine, 2025

A Hybrid Query Language for Digital Twins.

Philipp Zech, Manuel Burger, Linus Wald, Philipp Pobitzer, Sascha Hammes, Judith Michael

Proceedings of the Cooperative Information Systems - 31st International Conference, 2025

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

Multi-Modal Contrastive Learning for Online Clinical Time-Series Applications.

Fabian Baldenweg, Manuel Burger, Gunnar Rätsch, Rita Kuznetsova

CoRR, 2024

Dynamic Survival Analysis for Early Event Prediction.

Hugo Yèche, Manuel Burger, Dinara Veshchezerova, Gunnar Rätsch

Proceedings of the Conference on Health, 2024

FAMEWS: a Fairness Auditing tool for Medical Early-Warning Systems.

Marine Hoche, Olga Mineeva, Manuel Burger, Alessandro Blasimme, Gunnar Rätsch

Proceedings of the Conference on Health, 2024

2023

Learning Genomic Sequence Representations using Graph Neural Networks over De Bruijn Graphs.

Kacper Kapusniak, Manuel Burger, Gunnar Rätsch, Amir Joudaki

CoRR, 2023

Knowledge Graph Representations to enhance Intensive Care Time-Series Predictions.

Samyak Jain, Manuel Burger, Gunnar Rätsch, Rita Kuznetsova

CoRR, 2023

Language Model Training Paradigms for Clinical Feature Embeddings.

Yurong Hu, Manuel Burger, Gunnar Rätsch, Rita Kuznetsova

CoRR, 2023

On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series.

Rita Kuznetsova, Alizée Pace, Manuel Burger, Hugo Yèche, Gunnar Rätsch

Proceedings of the Machine Learning for Health, 2023

Multi-modal Graph Learning over UMLS Knowledge Graphs.

Manuel Burger, Gunnar Rätsch, Rita Kuznetsova

Proceedings of the Machine Learning for Health, 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

CoRR, 2022

2021

Critique of "Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility" by SCC Team From ETH Zurich.

Manuel Burger, Jan Kleine

IEEE Trans. Parallel Distributed Syst., 2021

2016

On order-preserving representations.

G. Ben Simon, Manuel Burger, T. Hartnick, Alessandra Iozzi, Anna Wienhard

J. Lond. Math. Soc., 2016