Search Results for author: Christian Hundt

Found 4 papers, 3 papers with code

Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere

1 code implementation6 Jun 2023 Boris Bonev, Thorsten Kurth, Christian Hundt, Jaideep Pathak, Maximilian Baust, Karthik Kashinath, Anima Anandkumar

Fourier Neural Operators (FNOs) have proven to be an efficient and effective method for resolution-independent operator learning in a broad variety of application areas across scientific machine learning.

Operator learning

MetaCache-GPU: Ultra-Fast Metagenomic Classification

1 code implementation14 Jun 2021 Robin Kobus, André Müller, Daniel Jünger, Christian Hundt, Bertil Schmidt

In the context of an ever-growing number of reference genomes, MetaCache-GPU is the first metagenomic classifier that makes analysis pipelines with on-demand composition of large-scale reference genome sets practical.


WarpCore: A Library for fast Hash Tables on GPUs

1 code implementation16 Sep 2020 Daniel Jünger, Robin Kobus, André Müller, Christian Hundt, Kai Xu, Weiguo Liu, Bertil Schmidt

The rapidly growing amount of data emerging in many fields motivated the need for accelerated hash tables designed for modern parallel architectures.

Distributed, Parallel, and Cluster Computing

$ν$-net: Deep Learning for Generalized Biventricular Cardiac Mass and Function Parameters

no code implementations14 Jun 2017 Hinrich B Winther, Christian Hundt, Bertil Schmidt, Christoph Czerner, Johann Bauersachs, Frank Wacker, Jens Vogel-Claussen

Conclusions: Biventricular mass and function parameters can be determined reliably in high quality by applying a deep neural network for cardiac MRI segmentation, especially in the anatomically complex right ventricle.

Anatomy Image Segmentation +3

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