Michael Bussmann | DeepAI

DeepAI AI Chat

Featured Co-authors

Nico Hoffmann
17 publications
Nishant Kumar
17 publications
Stefan Gumhold
17 publications
Wolfgang Hönig
16 publications
Marina M. -C. Höhne
14 publications
William F Godoy
13 publications
Lipeng Wan
13 publications
Yen-Yu Chang
11 publications
Sunita Chandrasekaran
11 publications
Michael Hecht
9 publications
Alexander Debus
8 publications

∙ 08/01/2023

Kidnapping Deep Learning-based Multirotors using Optimized Flying Adversarial Patches

Autonomous flying robots, such as multirotors, often rely on deep learni...

0 Pia Hanfeld, et al. ∙

∙ 05/22/2023

Flying Adversarial Patches: Manipulating the Behavior of Deep Learning-based Autonomous Multirotors

Autonomous flying robots, e.g. multirotors, often rely on a neural netwo...

0 Pia Hanfeld, et al. ∙

∙ 02/27/2023

Learning Electron Bunch Distribution along a FEL Beamline by Normalising Flows

Understanding and control of Laser-driven Free Electron Lasers remain to...

0 Anna Willmann, et al. ∙

∙ 11/09/2022

Continual learning autoencoder training for a particle-in-cell simulation via streaming

The upcoming exascale era will provide a new generation of physics simul...

0 Patrick Stiller, et al. ∙

∙ 09/20/2022

Application Experiences on a GPU-Accelerated Arm-based HPC Testbed

This paper assesses and reports the experience of ten teams working to p...

0 Wael Elwasif, et al. ∙

∙ 10/16/2021

Challenges Porting a C++ Template-Metaprogramming Abstraction Layer to Directive-based Offloading

HPC systems employ a growing variety of compute accelerators with differ...

0 Jeffrey Kelling, et al. ∙

∙ 10/15/2021

Metrics and Design of an Instruction Roofline Model for AMD GPUs

Due to the recent announcement of the Frontier supercomputer, many scien...

0 Matthew Leinhauser, et al. ∙

∙ 07/13/2021

Transitioning from file-based HPC workflows to streaming data pipelines with openPMD and ADIOS2

This paper aims to create a transition path from file-based IO to stream...

0 Franz Poeschel, et al. ∙

∙ 06/10/2021

InFlow: Robust outlier detection utilizing Normalizing Flows

Normalizing flows are prominent deep generative models that provide trac...

0 Nishant Kumar, et al. ∙

∙ 06/08/2021

LLAMA: The Low-Level Abstraction For Memory Access

The performance gap between CPU and memory widens continuously. Choosing...

0 Bernhard Manfred Gruber, et al. ∙

∙ 06/01/2021

Invertible Surrogate Models: Joint surrogate modelling and reconstruction of Laser-Wakefield Acceleration by invertible neural networks

Invertible neural networks are a recent technique in machine learning pr...

0 Friedrich Bethke, et al. ∙

∙ 06/01/2021

Data-Driven Shadowgraph Simulation of a 3D Object

In this work we propose a deep neural network based surrogate model for ...

0 Anna Willmann, et al. ∙

∙ 09/08/2020

Large-scale Neural Solvers for Partial Differential Equations

Solving partial differential equations (PDE) is an indispensable part of...

0 Patrick Stiller, et al. ∙

∙ 06/01/2017

On the Scalability of Data Reduction Techniques in Current and Upcoming HPC Systems from an Application Perspective

We implement and benchmark parallel I/O methods for the fully-manycore d...

0 Axel Huebl, et al. ∙

∙ 02/26/2016

Alpaka - An Abstraction Library for Parallel Kernel Acceleration

Porting applications to new hardware or programming models is a tedious ...

0 Erik Zenker, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world