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
2023 On Invariance, Equivariance, Correlation and Convolution of Spherical Harmonic Representations for Scalar and Vectorial Data
Keuper, Janis
Paper
2023 On the Interplay of Convolutional Padding and Adversarial Robustness
Gavrikov, Paul; Keuper, Janis
Konferenzbeitrag
Conference Paper
2023 Detecting Images Generated by Deep Diffusion Models using their Local Intrinsic Dimensionality
Lorenz, Peter; Durall Lopez, Ricard; Keuper, Janis
Paper
2023 An Extended Study of Human-like Behavior under Adversarial Training
Gavrikov, Paul; Keuper, Janis; Keuper, Margret
Paper
2023 Deep diffusion models for seismic processing
Durall Lopez, Ricard; Ghanim, Ammar; Fernandez, Mario Ruben; Ettrich, Norman; Keuper, Janis
Zeitschriftenaufsatz
Journal Article
2023 Retail-786k: a Large-Scale Dataset for Visual Entity Matching
Lamm, Bianca; Keuper, Janis
Paper
2023 Fine-Grained Product Classification on Leaflet Advertisements
Ladwig, Daniel; Lamm, Bianca; Keuper, Janis
Paper
2023 Deep Learning Strategies for Seismic Demultiple
Fernandez, Mario Ruben; Ettrich, Norman; Delescluse, Matthias; Rabaute, Alain; Keuper, Janis
Konferenzbeitrag
Conference Paper
2023 Don't Look into the Sun: Adversarial Solarization Attacks on Image Classifiers
Gavrikov, Paul; Keuper, Janis
Paper
2023 Rethinking 1x1 Convolutions: Can we train CNNs with Frozen Random Filters?
Gavrikov, Paul; Keuper, Janis
Paper
2023 Deep Diffusion Models for Multiple Removal
Durall Lopez, Ricard; Ghanim, Ammar; Fernandez, Mario Ruben; Ettrich, Norman; Keuper, Janis
Konferenzbeitrag
Conference Paper
2023 An in-depth study of U-net for seismic data conditioning: Multiple removal by moveout discrimination
Durall Lopez, Ricard; Ghanim, Ammar; Ettrich, Norman; Keuper, Janis
Zeitschriftenaufsatz
Journal Article
2023 Seismic demultiple with deep learning
Fernandez, Mario Ruben; Ettrich, Norman; Delescluse, Matthias; Rabaute, Alain; Keuper, Janis
Konferenzbeitrag
Conference Paper
2022 Robust Models are less Over-Confident
Grabinski, Julia; Gavrikov, Paul; Keuper, Janis; Keuper, Margret
Paper
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 An Empirical Investigation of Trained Convolutional Filters
Gavrikov, Paul; Keuper, Janis
Vortrag
Presentation
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 CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters
Gavrikov, Paul; Keuper, Janis
Konferenzbeitrag
Conference Paper
2022 Unfolding Local Growth Rate Estimates for (Almost) Perfect Adversarial Detection
Lorenz, Peter; Keuper, Margret; Keuper, Janis
Paper
2022 FrequencyLowCut Pooling - Plug and Play Against Catastrophic Overfitting
Grabinski, Julia; Jung, Steffen; Keuper, Janis; Keuper, Margret
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 A comparison of deep learning paradigms for seismic data interpolation
Fernandez, Mario Ruben; Durall Lopez, Ricard; Ettrich, Norman; Delescluse, M.; Rabaute, A.; Keuper, J.
Konferenzbeitrag
Conference Paper
2022 Adversarial Robustness through the Lens of Convolutional Filters
Gavrikov, Paul; Keuper, Janis
Konferenzbeitrag
Conference Paper
2022 [AutoMLConf'22]: GSparsity: Unifying Network Pruning and Neural Architecture Search by Group Teaser
Chatzimichailidis, Avraam; Zela, Arber; Keuper, Janis; Yang, Yang
Video
2022 Physics-Informed Learning of Aerosol Microphysics
Harder, Paula; Watson-Parris, Duncan; Stier, Philip; Straßel, Dominik; Gauger, Nicolas R.; Keuper, Janis
Paper
2022 Does Medical Imaging learn different Convolution Filters?
Gavrikov, Paul; 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 Combining Transformer Generators with Convolutional Discriminators
Durall, Ricard; Frolov, Stanislav; Hees, Jörn; Raue, Federico; Pfreundt, Franz-Josef; Dengel, Andreas; Keuper, Janis
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 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 SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain
Harder, Paula; Pfreundt, Franz-Josef; Keuper, Margret; Keuper, Janis
Paper
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 SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain
Harder, Paula; Pfreundt, Franz-Josef; Keuper, Margret; Keuper, Janis
Konferenzbeitrag
Conference Paper
2021 Sample efficient localization and stage prediction with autoencoders
Hoch, Sebastian; Lange, Sascha; 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 Stabilizing GANs with soft octave convolutions
Durall, Ricard; Pfreundt, Franz-Josef; Keuper, Janis
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
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 Python Workflows on HPC Systems
Strassel, Dominik; Reusch, Philipp; Keuper, Janis
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 Detection of point scatterers using diffraction imaging and deep learning
Tschannen, Valentin; Ettrich, Norman; Delescluse, Matthias; Keuper, Janis
Zeitschriftenaufsatz
Journal Article
2020 Unmasking DeepFakes with simple Features
Durall, Ricard; Keuper, Margret; Pfreundt, Franz-Josef; Keuper, Janis
Paper
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 Message from the MLHPC workshop chairs
Lim, S.-H.; Shen, X.; Keuper, J.; Houston, M.
Zeitschriftenaufsatz
Journal Article
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
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 Sparsity in Deep Neural Networks - An Empirical Investigation with TensorQuant
Loroch, Dominik Marek; Pfreundt, Franz-Josef; Wehn, Norbert; Keuper, Janis
Konferenzbeitrag
Conference Paper
2019 Stabilizing GANs with Octave Convolutions
Durall, Ricard; Pfreundt, Franz-Josef; Keuper, Janis
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
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 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 Balancing the communication load of asynchronously parallelized machine learning algorithms
Keuper, Janis; Pfreundt, Franz-Josef
Paper
Diese Liste ist ein Auszug aus der Publikationsplattform Fraunhofer-Publica

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