Profile of Franz-Josef Pfreundt

Fields of Activity / Competences

  • Director Competence Center High Performance Computing and Visualization

 

Publications

Major Publications

  • Keuper, J.; Pfreundt, F.-J.:
    Distributed training of deep neural networks: theoretical and practical limits of parallel scalability.
    Proceedings of the Workshop on Machine Learning in High Performance Computing Environments (MLHPC '16), IEEE Press, Piscataway, NJ, USA, 19-26. DOI: https://doi.org/10.1109/MLHPC.2016.6, (2016).
  • Keuper, J.; Pfreundt, F.-J.:
    Asynchronous Parallel Stochastic Gradient Descent: A Numeric Core for calable Distributed Machine Learning Algorithms.
    Proceedings of the Workshop on Machine Learning in High-Performance Computing Environments; doi.acm.org/10.1145/2834892.2834893, isbn 978-1-4503-4006-9, publisher ACM.
  • Dalheimer, M.; Pfreundt, F.-J.; Merz, P.:
    Agent-based Grid Scheduling with Calana.
    Proc. Second Grid Resource Management Workshop 2005, Poznan, Poland, Springer LNCS 3911, (2005).

Fraunhofer-Publica

A collection of publications by Franz-Josef Pfreundt in the Fraunhofer-Publica

Jahr
Year
Titel/Autor:in
Title/Author
Publikationstyp
Publication Type
2024 Fake or JPEG? Revealing Common Biases in Generated Image Detection Datasets
Grommelt, Patrick; Weiss, Louis; Pfreundt, Franz-Josef; Keuper, Janis
Paper
2022 Module Intersection for the Integration-by-Parts Reduction of Multi-Loop Feynman Integrals
Böhm, Janko; Bendle, Dominik; Decker, Wolfram; Georgoudis, Alessandro; Pfreundt, Franz-Josef; Rahn, Mirko; Zhang, Yang
Zeitschriftenaufsatz
Journal Article
2022 The HighPerMeshes framework for numerical algorithms on unstructured grids
Alhaddad, Samer; Förstner, Jens; Groth, Stefan; Grünewald, Daniel; Grynko, Yevgen; Hannig, Frank; Kenter, Tobias; Pfreundt, Franz-Josef; Plessl, Christian; Schotte, Merlind; Steinke, Thomas; Teich, Jürgen; Weiser, Martin; Wende, Florian
Zeitschriftenaufsatz
Journal Article
2021 Latent Space Conditioning on Generative Adversarial Networks
Durall, Ricard; Ho, Kalun; Pfreundt, Franz-Josef; Keuper, Janis
Konferenzbeitrag
Conference Paper
2021 Estimating the Robustness of Classification Models by the Structure of the Learned Feature-Space
Ho, Kalun; Pfreundt, Franz-Josef; Keuper, Janis; Keuper, Margret
Paper
2021 Stabilizing GANs with soft octave convolutions
Durall, Ricard; Pfreundt, Franz-Josef; Keuper, Janis
Konferenzbeitrag
Conference Paper
2021 Towards Massively Parallel Computations in Algebraic Geometry
Böhm, Janko; Decker, Wolfram; Frühbis-Krüger, Anne; Pfreundt, Franz-Josef; Rahn, Mirko; Ristau, Lukas
Zeitschriftenaufsatz
Journal Article
2021 Local facial attribute transfer through inpainting
Durall, Ricard; Pfreundt, Franz-Josef; Keuper, Janis
Konferenzbeitrag
Conference Paper
2021 SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain
Harder, Paula; Pfreundt, Franz-Josef; Keuper, Margret; Keuper, Janis
Paper
2021 A Two-Stage Minimum Cost Multicut Approach to Self-Supervised Multiple Person Tracking
Ho, Kalun; Kardoost, Amirhossein; Pfreundt, Franz-Josef; Keuper, Janis; Keuper, Margret
Konferenzbeitrag
Conference Paper
2021 Combining Transformer Generators with Convolutional Discriminators
Durall, Ricard; Frolov, Stanislav; Hees, Jörn; Raue, Federico; Pfreundt, Franz-Josef; Dengel, Andreas; Keuper, Janis
Paper
2021 SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain
Harder, Paula; Pfreundt, Franz-Josef; Keuper, Margret; Keuper, Janis
Konferenzbeitrag
Conference Paper
2021 HighPerMeshes - A Domain-Specific Language for Numerical Algorithms on Unstructured Grids
Alhaddad, Samer; Förstner, Jens; Groth, Stefan; Grünewald, Daniel; Grynko, Yevgen; Hannig, Frank; Kenter, Tobias; Pfreundt, Franz-Josef; Plessl, Christian; Schotte, Merlind; Steinke, Thomas; Teich, Jürgen; Weiser, Martin; Wende, Florian
Konferenzbeitrag
Conference Paper
2021 Learning Embeddings for Image Clustering: An Empirical Study of Triplet Loss Approaches
Ho, Kalun; Keuper, Janis; Pfreundt, Franz-Josef; Keuper, Margret
Konferenzbeitrag
Conference Paper
2020 Local Facial Attribute Transfer through Inpainting
Durall, Ricard; Pfreundt, Franz-Josef; Keuper, Janis
Paper
2020 Synthesizing seismic diffractions using a generative adversarial network
Durall, Ricard; Tschannen, Valentin; Pfreundt, Franz-Josef; Keuper, Janis
Zeitschriftenaufsatz
Journal Article
2020 Latent Space Conditioning on Generative Adversarial Networks
Durall, Ricard; Ho, Kalun; Pfreundt, Franz-Josef; Keuper, Janis
Paper
2020 Learning Embeddings for Image Clustering: An Empirical Study of Triplet Loss Approaches
Ho, Kalun; Keuper, Janis; Pfreundt, Franz-Josef; Keuper, Margret
Paper
2020 Unmasking DeepFakes with simple Features
Durall, Ricard; Keuper, Margret; Pfreundt, Franz-Josef; Keuper, Janis
Paper
2020 Module Intersection for the Integration-by-Parts Reduction of Multi-Loop Feynman Integrals
Bendle, Dominik; Boehm, Janko; Decker, Wolfram; Georgoudis, Alessandro; Pfreundt, Franz-Josef; Rahn, Mirko; Zhang, Yang
Vortrag
Presentation
2019 Sparsity in Deep Neural Networks - An Empirical Investigation with TensorQuant
Loroch, Dominik Marek; Pfreundt, Franz-Josef; Wehn, Norbert; Keuper, Janis
Konferenzbeitrag
Conference Paper
2019 Scalable hyperparameter optimization with lazy gaussian processes
Ram, Raju; Müller, Sabine; Pfreundt, Franz-Josef; Gauger, Nicolas R.; Keuper, Janis
Konferenzbeitrag
Conference Paper
2019 Stabilizing GANs with Octave Convolutions
Durall, Ricard; Pfreundt, Franz-Josef; Keuper, Janis
Paper
2019 Object Segmentation Using Pixel-Wise Adversarial Loss
Durall, Ricard; Pfreundt, Franz-Josef; Köthe, Ullrich; Keuper, Janis
Konferenzbeitrag
Conference Paper
2019 GradVis: Visualization and Second Order Analysis of Optimization Surfaces during the Training of Deep Neural Networks
Chatzimichailidis, Avraam; Pfreundt, Franz-Josef; Gauger, Nicolas R.; Keuper, Janis
Paper
2019 Semi Few-Shot Attribute Translation
Durall, Ricard; Pfreundt, Franz-Josef; Keuper, Janis
Paper
2018 Towards Massively Parallel Computations in Algebraic Geometry
Boehm, Janko; Decker, Wolfram; Frühbis-Krüger, Anne; Pfreundt, Franz-Josef; Rahn, Mirko; Ristau, Lukas
Paper
2017 Using GPI-2 for distributed memory paralleliziation of the caffe toolbox to speed up deep neural network training
Kühn, Martin; Keuper, Janis; Pfreundt, Franz-Josef
Konferenzbeitrag
Conference Paper
2017 Accelerated single ray tracing for wide vector units
Fütterling, Valentin; Lojewski, Carsten; Pfreundt, Franz-Josef; Hamann, Bernd; Ebert, Achim
Konferenzbeitrag
Conference Paper
2017 ALOMA, an auto-parallelization tool for seismic processing
Merten, Dirk; Pfreundt, Franz-Josef
Konferenzbeitrag
Conference Paper
2017 GASPI/GPI in-memory check pointing library
Bartsch, Valeria; Machado, Rui; Rahn, Mirko; Merten, Dirk; Pfreundt, Franz-Josef
Konferenzbeitrag
Conference Paper
2017 TensorQuant. A simulation toolbox for deep neural network quantization
Loroch, Dominik; Pfreundt, Franz-Josef; Wehn, Norbert; Keuper, Janis
Konferenzbeitrag
Conference Paper
2016 Parallel spatial splits in bounding volume hierarchies
Fütterling, Valentin; Lojewski, Carsten; Pfreundt, Franz-Josef; Ebert, Achim
Konferenzbeitrag
Conference Paper
2015 Balancing the communication load of asynchronously parallelized machine learning algorithms
Keuper, Janis; Pfreundt, Franz-Josef
Paper
2015 Task-based parallel sparse matrix-vector multiplication (SpMVM) with GPI-2
Stoyanov, Dimitar; Machado, Rui; Pfreundt, Franz-Josef
Konferenzbeitrag
Conference Paper
2015 Asynchronous parallel stochastic gradient descent
Keuper, Janis; Pfreundt, Franz-Josef
Paper
2015 Asynchronous parallel stochastic gradient descent: A numeric core for scalable distributed machine learning algorithms
Keuper, Janis; Pfreundt, Franz-Josef
Konferenzbeitrag
Conference Paper
2015 Efficient ray tracing kernels for modern CPU architectures
Fuetterling, Valentin; Lojewski, Carsten; Pfreundt, Franz-Josef; Ebert, Achim
Zeitschriftenaufsatz
Journal Article
Diese Liste ist ein Auszug aus der Publikationsplattform Fraunhofer-Publica

This list has been generated from the publication platform Fraunhofer-Publica