Manuel Burger

19 papers B 1Journal 14Unranked 4
YearRankTypeTitle / Venue / Authors
2025 B conf
A Hybrid Query Language for Digital Twins.
CoopIS
Philipp Zech, Manuel Burger, Linus Wald, Philipp Pobitzer, Sascha Hammes, Judith Michael
2025 J jnl
Data-Driven Discovery of Feature Groups in Clinical Time Series.
CoRR
Fedor Sergeev, Manuel Burger, Polina Leshetkina, Vincent Fortuin, Gunnar Rätsch, Rita Kuznetsova
2025 J jnl
Domain Generalization and Adaptation in Intensive Care with Anchor Regression.
CoRR
Malte Londschien, Manuel Burger, Gunnar Rätsch, Peter Bühlmann
2025 J jnl
RMS: a ML-based system for ICU respiratory monitoring and resource planning.
npj Digit. Medicine
Matthias Hüser, Xinrui Lyu, Martin Faltys, Alizée Pace, David Berger, Marine Hoche, Stephanie L. Hyland, Hugo Yèche, Manuel Burger, Tobias M. Merz, Gunnar Rätsch
2024 — conf
Dynamic Survival Analysis for Early Event Prediction.
CHIL
Hugo Yèche, Manuel Burger, Dinara Veshchezerova, Gunnar Rätsch
2024 J jnl
Dynamic Survival Analysis for Early Event Prediction.
CoRR
Hugo Yèche, Manuel Burger, Dinara Veshchezerova, Gunnar Rätsch
2024 — conf
FAMEWS: a Fairness Auditing tool for Medical Early-Warning Systems.
CHIL
Marine Hoche, Olga Mineeva, Manuel Burger, Alessandro Blasimme, Gunnar Rätsch
2024 J jnl
Multi-Modal Contrastive Learning for Online Clinical Time-Series Applications.
CoRR
Fabian Baldenweg, Manuel Burger, Gunnar Rätsch, Rita Kuznetsova
2024 J jnl
Towards Foundation Models for Critical Care Time Series.
CoRR
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
2023 J jnl
Knowledge Graph Representations to enhance Intensive Care Time-Series Predictions.
CoRR
Samyak Jain, Manuel Burger, Gunnar Rätsch, Rita Kuznetsova
2023 J jnl
Language Model Training Paradigms for Clinical Feature Embeddings.
CoRR
Yurong Hu, Manuel Burger, Gunnar Rätsch, Rita Kuznetsova
2023 J jnl
Learning Genomic Sequence Representations using Graph Neural Networks over De Bruijn Graphs.
CoRR
Kacper Kapusniak, Manuel Burger, Gunnar Rätsch, Amir Joudaki
2023 — conf
Multi-modal Graph Learning over UMLS Knowledge Graphs.
ML4H@NeurIPS
Manuel Burger, Gunnar Rätsch, Rita Kuznetsova
2023 J jnl
Multi-modal Graph Learning over UMLS Knowledge Graphs.
CoRR
Manuel Burger, Gunnar Rätsch, Rita Kuznetsova
2023 — conf
On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series.
ML4H@NeurIPS
Rita Kuznetsova, Alizée Pace, Manuel Burger, Hugo Yèche, Gunnar Rätsch
2023 J jnl
On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series.
CoRR
Rita Kuznetsova, Alizée Pace, Manuel Burger, Hugo Yèche, Gunnar Rätsch
2022 J jnl
Python FPGA Programming with Data-Centric Multi-Level Design.
CoRR
Johannes de Fine Licht, Tiziano De Matteis, Tal Ben-Nun, Andreas Kuster, Oliver Rausch, Manuel Burger, Carl-Johannes Johnsen, Torsten Hoefler
2021 J jnl
Critique of "Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility" by SCC Team From ETH Zurich.
IEEE Trans. Parallel Distributed Syst.
Manuel Burger, Jan Kleine
2016 J jnl
On order-preserving representations.
J. Lond. Math. Soc.
G. Ben Simon, Manuel Burger, T. Hartnick, Alessandra Iozzi, Anna Wienhard