Manuel Burger

According to our database, Manuel Burger authored at least 10 papers between 2016 and 2024.

Collaborative distances:

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

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

CoRR, 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