J. Keuper

发表

Distributed Training of Deep Neural Networks: Theoretical and Practical Limits of Parallel Scalability

Janis Keuper, Franz-Josef Pfreundt, J. Keuper, 2016, 2016 2nd Workshop on Machine Learning in HPC Environments (MLHPC).

A Retail Product Categorisation Dataset

Febin Sebastian Elayanithottathil, J. Keuper, 2021, ArXiv.

A Two-Stage Minimum Cost Multicut Approach to Self-supervised Multiple Person Tracking

Margret Keuper, J. Keuper, F. Pfreundt, 2020, ACCV.

Deep Diffusion Models for Seismic Processing

N. Ettrich, J. Keuper, A. Ghanim, 2022, 2207.10451.

Synthesizing seismic diffractions using a generative adversarial network

Janis Keuper, Franz-Josef Pfreundt, Valentin Tschannen, 2020 .

Physics-informed learning of aerosol microphysics

P. Stier, N. Gauger, J. Keuper, 2022, Environmental Data Science.

Semi Few-Shot Attribute Translation

Janis Keuper, Franz-Josef Pfreundt, Ricard Durall, 2019, 2019 International Conference on Image and Vision Computing New Zealand (IVCNZ).

Watch Your Up-Convolution: CNN Based Generative Deep Neural Networks Are Failing to Reproduce Spectral Distributions

Margret Keuper, Janis Keuper, Ricard Durall, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Rethinking 1x1 Convolutions: Can we train CNNs with Frozen Random Filters?

J. Keuper, Paul Gavrikov, 2023, ArXiv.

Adversarial Robustness through the Lens of Convolutional Filters

J. Keuper, Paul Gavrikov, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters

J. Keuper, Paul Gavrikov, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

An Empirical Investigation of Model-to-Model Distribution Shifts in Trained Convolutional Filters

Janis Keuper, Paul Gavrikov, J. Keuper, 2022, ArXiv.

Scalable Hyperparameter Optimization with Lazy Gaussian Processes

Janis Keuper, Nicolas R. Gauger, Franz-Josef Pfreundt, 2019, 2019 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC).

Estimating the Robustness of Classification Models by the Structure of the Learned Feature-Space pdf

Margret Keuper, Kalun Ho, Janis Keuper, 2021, ArXiv.

Learning Embeddings for Image Clustering: An Empirical Study of Triplet Loss Approaches pdf

Margret Keuper, Kalun Ho, Janis Keuper, 2020, 2020 25th International Conference on Pattern Recognition (ICPR).

Unsupervised Multiple Person Tracking using AutoEncoder-Based Lifted Multicuts pdf

Margret Keuper, Kalun Ho, Janis Keuper, 2020, ArXiv.

PHS: A Toolbox for Parallel Hyperparameter Search pdf

Janis Keuper, Peter Michael Habelitz, J. Keuper, 2020, ArXiv.

TensorQuant: A Simulation Toolbox for Deep Neural Network Quantization

Norbert Wehn, Janis Keuper, Franz-Josef Pfreundt, 2017, MLHPC@SC.

Extracting horizon surfaces from 3D seismic data using deep learning

Janis Keuper, Valentin Tschannen, Matthias Delescluse, 2020 .

SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain

J. Keuper, F. Pfreundt, P. Harder, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Detection of point scatterers using diffraction imaging and deep learning

Janis Keuper, Valentin Tschannen, Matthias Delescluse, 2019, Geophysical Prospecting.

Facies classification from well logs using an inception convolutional network pdf

Janis Keuper, Valentin Tschannen, Matthias Delescluse, 2017, ArXiv.

An Extended Study of Human-like Behavior under Adversarial Training

J. Keuper, M. Keuper, Paul Gavrikov, 2023, ArXiv.

FacialGAN: Style Transfer and Attribute Manipulation on Synthetic Faces

Moi Hoon Yap, J. Keuper, Dominik Strassel, 2021, BMVC.

Unmasking DeepFakes with simple Features

J. Keuper, F. Pfreundt, R. Durall, 2019, ArXiv.

Combining Transformer Generators with Convolutional Discriminators

A. Dengel, J. Keuper, Stanislav Frolov, 2021, KI.

Aliasing and adversarial robust generalization of CNNs

J. Keuper, M. Keuper, Julia Grabinski, 2022, Machine Learning.

FrequencyLowCut Pooling - Plug & Play against Catastrophic Overfitting

J. Keuper, M. Keuper, Steffen Jung, 2022, ECCV.

Robust Models are less Over-Confident

J. Keuper, M. Keuper, Paul Gavrikov, 2022, NeurIPS.

Detecting Images Generated by Deep Diffusion Models using their Local Intrinsic Dimensionality

J. Keuper, R. Durall, P. Lorenz, 2023, ArXiv.

Latent Space Conditioning on Generative Adversarial Networks pdf

Kalun Ho, Janis Keuper, Franz-Josef Pfreundt, 2020, VISIGRAPP.

Unfolding Local Growth Rate Estimates for (Almost) Perfect Adversarial Detection

J. Keuper, M. Keuper, P. Lorenz, 2022, VISIGRAPP.

Group Sparsity: A Unified Framework for Network Pruning and Neural Architecture Search

F. Hutter, J. Keuper, Arber Zela, 2021 .

As large as it gets: Learning infinitely large Filters via Neural Implicit Functions in the Fourier Domain

J. Keuper, M. Keuper, Julia Grabinski, 2023, ArXiv.

Asynchronous parallel stochastic gradient descent: a numeric core for scalable distributed machine learning algorithms

Janis Keuper, Franz-Josef Pfreundt, J. Keuper, 2015, MLHPC@SC.

Detecting Images Generated by Deep Diffusion Models using their Local Intrinsic Dimensionality

J. Keuper, R. Durall, P. Lorenz, 2023, arXiv.org.

Combating Mode Collapse in GAN training: An Empirical Analysis using Hessian Eigenvalues pdf

Peter Labus, Janis Keuper, Ricard Durall, 2020, VISIGRAPP.

GradVis: Visualization and Second Order Analysis of Optimization Surfaces during the Training of Deep Neural Networks

Janis Keuper, Nicolas R. Gauger, Franz-Josef Pfreundt, 2019, 2019 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC).

Emulating Aerosol Microphysics with Machine Learning pdf

Paula Harder, Duncan Watson-Parris, Janis Keuper, 2021, ArXiv.

MSM: Multi-stage Multicuts for Scalable Image Clustering

J. Keuper, Kalun Ho, M. Keuper, 2021, Lecture Notes in Computer Science.

Deep diffusion models for seismic processing

N. Ettrich, J. Keuper, A. Ghanim, 2022, Comput. Geosci..

The Power of Linear Combinations: Learning with Random Convolutions

J. Keuper, Paul Gavrikov, 2023, 2301.11360.

Detecting AutoAttack Perturbations in the Frequency Domain pdf

Margret Keuper, Paula Harder, Janis Keuper, 2021, ArXiv.

Does Medical Imaging learn different Convolution Filters?

J. Keuper, Paul Gavrikov, 2022, ArXiv.