Paul Gavrikov

According to our database, Paul Gavrikov authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

VisualTorch: Streamlining Visualization for PyTorch Neural Network Architectures.

Willy Fitra Hendria, Paul Gavrikov

J. Open Source Softw., 2024

How Do Training Methods Influence the Utilization of Vision Models?

Paul Gavrikov, Shashank Agnihotri, Margret Keuper, Janis Keuper

CoRR, 2024

GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models.

Muhammad Jehanzeb Mirza, Mengjie Zhao, Zhuoyuan Mao, Sivan Doveh, Wei Lin, Paul Gavrikov, Michael Dorkenwald, Shiqi Yang, Saurav Jha, Hiromi Wakaki, Yuki Mitsufuji, Horst Possegger, Rogério Feris, Leonid Karlinsky, James R. Glass

CoRR, 2024

Are Vision Language Models Texture or Shape Biased and Can We Steer Them?

Paul Gavrikov, Jovita Lukasik, Steffen Jung, Robert Geirhos, Bianca Lamm, Muhammad Jehanzeb Mirza, Margret Keuper, Janis Keuper

CoRR, 2024

Can Biases in ImageNet Models Explain Generalization?

Paul Gavrikov, Janis Keuper

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Improving Native CNN Robustness with Filter Frequency Regularization.

Jovita Lukasik, Paul Gavrikov, Janis Keuper, Margret Keuper

Trans. Mach. Learn. Res., 2023

Don't Look into the Sun: Adversarial Solarization Attacks on Image Classifiers.

Paul Gavrikov, Janis Keuper

CoRR, 2023

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

Paul Gavrikov, Janis Keuper

CoRR, 2023

On the Interplay of Convolutional Padding and Adversarial Robustness.

Paul Gavrikov, Janis Keuper

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

An Extended Study of Human-like Behavior under Adversarial Training.

Paul Gavrikov, Janis Keuper, Margret Keuper

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Does Medical Imaging learn different Convolution Filters?

Paul Gavrikov, Janis Keuper

CoRR, 2022

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

Paul Gavrikov, Janis Keuper

CoRR, 2022

Robust Models are less Over-Confident.

Julia Grabinski, Paul Gavrikov, Janis Keuper, Margret Keuper

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters.

Paul Gavrikov, Janis Keuper

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Adversarial Robustness through the Lens of Convolutional Filters.

Paul Gavrikov, Janis Keuper

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2020

Exploring Non-Idealities in Real Device Implementations of Bluetooth Mesh.

Paul Gavrikov, Matthias Lai, Thomas Michael Wendt

Int. J. Interdiscip. Telecommun. Netw., 2020

2018

Using Bluetooth Low Energy to trigger an ultra-low power FSK wake-up receiver.

Paul Gavrikov, Pascal E. Verboket, Tolgay Ungan, Markus Muller, Matthias Lai, Christian Schindelhauer, Leonhard M. Reindl, Thomas M. Wendt

Proceedings of the 25th IEEE International Conference on Electronics, Circuits and Systems, 2018