53 citations · 85 across the 4 of their papers we have counts for
7 papers
A library for differentiable signal processing and machine learning on the sphere
Thorsten Kurth, Max Rietmann, Mauro Bisson +6
The two-dimensional sphere embedded in three-dimensional Euclidean space S2, plays a central role in a variety of scientific and engineering domains, including geophysics, planetar…
gpuPairHMM: High-speed Pair-HMM Forward Algorithm for DNA Variant Calling on GPUs
Bertil Schmidt, Felix Kallenborn, Alexander Wichmann +2
The continually increasing volume of DNA sequence data has resulted in a growing demand for fast implementations of core algorithms. Computation of pairwise alignments between cand…
Geometry-Informed Neural Operator for Large-Scale 3D PDEs
Zongyi Li, Nikola Borislavov Kovachki, Chris Choy +8
We propose the geometry-informed neural operator (GINO), a highly efficient approach to learning the solution operator of large-scale partial differential equations with varying ge…
Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere
Boris Bonev, Thorsten Kurth, Christian Hundt +4
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 scie…
MetaCache-GPU: Ultra-Fast Metagenomic Classification
Robin Kobus, André Müller, Daniel Jünger +2
The cost of DNA sequencing has dropped exponentially over the past decade, making genomic data accessible to a growing number of scientists. In bioinformatics, localization of shor…
WarpCore: A Library for fast Hash Tables on GPUs
Daniel Jünger, Robin Kobus, André Müller +4
Hash tables are ubiquitous. Properties such as an amortized constant time complexity for insertion and querying as well as a compact memory layout make them versatile associative d…
-net: Deep Learning for Generalized Biventricular Cardiac Mass and Function Parameters
Hinrich B Winther, Christian Hundt, Bertil Schmidt +4
Background: Cardiac MRI derived biventricular mass and function parameters, such as end-systolic volume (ESV), end-diastolic volume (EDV), ejection fraction (EF), stroke volume (SV…