Profil Janis Keuper

Schwerpunkte/Kompetenzen

  • Maschinelles Lernen
    • Large Scale Machine Learning
    • Deep Learning
    • Ensemble Methods
  • Mustererkennung
  • Parallelisierung

 

Publikationen

Highlightpublikationen

  • 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.
  • Keuper, J.:
    Balancing the Communication Load of Asynchronously Parallelized Machine Learning Algorithms.
    Journal CoRR, volume abs/1510.01155, (2015).

Fraunhofer-Publica

Sammlung der Publikationen von Janis Keuper in der Fraunhofer-Publica

Jahr
Year
Titel/Autor:in
Title/Author
Publikationstyp
Publication Type
2022 Deep Diffusion Models for Seismic Processing
Durall Lopez, Ricard; Ghanim, Ammar; Fernandez, Mario Ruben; Ettrich, Norman; Keuper, Janis
Paper
2022 Dissecting U-net for Seismic Application: An In-Depth Study on Deep Learning Multiple Removal
Durall Lopez, Ricard; Ghanim, Ammar; Ettrich, Norman; Keuper, Janis
Paper
2022 FrequencyLowCut Pooling - Plug & Play against Catastrophic Overfitting
Grabinski, Julia; Jung, Steffen; Keuper, Janis; Keuper, Margret
Paper
2022 Aliasing and adversarial robust generalization of CNNs
Grabinski, Julia; Keuper, Janis; Keuper, Margret
Zeitschriftenaufsatz
Journal Article
2022 Image-to-image Seismic Interpolation
Fernandez, Mario Ruben; Durall Lopez, Ricard; Ettrich, Norman; Delescluse, M.; Rabaute, A.; Keuper, Janis
Konferenzbeitrag
Conference Paper
2022 A Benchmark Study of Deep Learning Methods for Seismic Interpolation
Fernandez, Mario Ruben; Durall Lopez, Ricard; Ettrich, Norman; Delescluse, M.; Rabaute, A.; Keuper, Janis
Konferenzbeitrag
Conference Paper
2022 An Empirical Investigation of Trained Convolutional Filters
Gavrikov, Paul; Keuper, Janis
Vortrag
Presentation
2021 Stabilizing GANs with soft octave convolutions
Durall, Ricard; 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 Latent Space Conditioning on Generative Adversarial Networks
Durall, Ricard; Ho, Kalun; Pfreundt, Franz-Josef; Keuper, Janis
Konferenzbeitrag
Conference Paper
2021 MSM: Multi-stage Multicuts for Scalable Image Clustering
Ho, K.; Chatzimichailidis, A.; Keuper, M.; Keuper, J.
Konferenzbeitrag
Conference Paper
2021 Combining Transformer Generators with Convolutional Discriminators
Durall, R.; Frolov, S.; Hees, J.; Raue, F.; Pfreundt, F.-J.; Dengel, A.; Keuper, J.
Konferenzbeitrag
Conference Paper
2021 Local facial attribute transfer through inpainting
Durall, Ricard; Pfreundt, Franz-Josef; Keuper, Janis
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
2021 Combining Transformer Generators with Convolutional Discriminators
Durall, Ricard; Frolov, Stanislav; Hees, Jörn; Raue, Federico; Pfreundt, Franz-Josef; Dengel, Andreas; Keuper, Janis
Paper
2021 Generative models for the transfer of knowledge in seismic interpretation with deep learning
Durall, Ricard; Tschannen, Valentin; Ettrich, Norman; Keuper, Janis
Zeitschriftenaufsatz
Journal Article
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 Combating Mode Collapse in GAN training: An Empirical Analysis using Hessian Eigenvalues
Durall, Ricard; Chatzimichailidis, Avraam; Labus, Peter; 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
Konferenzbeitrag
Conference Paper
2021 SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain
Harder, Paula; Pfreundt, Franz-Josef; Keuper, Margret; Keuper, Janis
Paper
2020 Unmasking DeepFakes with simple Features
Durall, Ricard; Keuper, Margret; Pfreundt, Franz-Josef; Keuper, Janis
Paper
2020 Message from the MLHPC workshop chairs
Lim, S.-H.; Shen, X.; Keuper, J.; Houston, M.
Zeitschriftenaufsatz
Journal Article
2020 PHS: A Toolbox for Parallel Hyperparameter Search
Habelitz, Peter Michael; 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 Latent Space Conditioning on Generative Adversarial Networks
Durall, Ricard; Ho, Kalun; 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 Local Facial Attribute Transfer through Inpainting
Durall, Ricard; Pfreundt, Franz-Josef; Keuper, Janis
Paper
2020 Watch your up-convolution: CNN based generative deep neural networks are failing to reproduce spectral distributions
Durall, R.; Keuper, M.; Keuper, J.
Konferenzbeitrag
Conference Paper
2020 Extracting horizon surfaces from 3D seismic data using deep learning
Tschannen, Valentin; Delescluse, Matthias; Ettrich, Norman; Keuper, Janis
Zeitschriftenaufsatz
Journal Article
2020 Combating Mode Collapse in GAN training: An Empirical Analysis using Hessian Eigenvalues
Durall, Ricard; Chatzimichailidis, Avraam; Labus, Peter; Keuper, Janis
Paper
2020 Python Workflows on HPC Systems
Strassel, Dominik; Reusch, Philipp; Keuper, Janis
Konferenzbeitrag
Conference Paper
2020 Detection of point scatterers using diffraction imaging and deep learning
Tschannen, Valentin; Ettrich, Norman; Delescluse, Matthias; Keuper, Janis
Zeitschriftenaufsatz
Journal Article
2019 Stabilizing GANs with Octave Convolutions
Durall, Ricard; Pfreundt, Franz-Josef; Keuper, Janis
Paper
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 Semi Few-Shot Attribute Translation
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
2017 Facies classification from well logs using an inception convolutional network
Tschannen, Valentin; Delescluse, Matthias; Rodriguez, Mathieu; Keuper, Janis
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 TensorQuant. A simulation toolbox for deep neural network quantization
Loroch, Dominik; Pfreundt, Franz-Josef; Wehn, Norbert; Keuper, Janis
Konferenzbeitrag
Conference Paper
2016 Distributed training of deep neural networks: Theoretical and practical limits of parallel scalability
Keuper, J.; Preundt, F.-J.
Konferenzbeitrag
Conference Paper
2015 Balancing the communication load of asynchronously parallelized machine learning algorithms
Keuper, Janis; Pfreundt, Franz-Josef
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
Diese Liste ist ein Auszug aus der Publikationsplattform Fraunhofer-Publica

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