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Paul Gavrikov
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2020 – today
- 2024
- [j3]Willy Fitra Hendria, Paul Gavrikov:
VisualTorch: Streamlining Visualization for PyTorch Neural Network Architectures. J. Open Source Softw. 9(102): 6678 (2024) - [c7]Paul Gavrikov, Janis Keuper:
Can Biases in ImageNet Models Explain Generalization? CVPR 2024: 22184-22194 - [i13]Paul Gavrikov, Jovita Lukasik, Steffen Jung, Robert Geirhos, Bianca Lamm, Muhammad Jehanzeb Mirza, Margret Keuper, Janis Keuper:
Are Vision Language Models Texture or Shape Biased and Can We Steer Them? CoRR abs/2403.09193 (2024) - [i12]Paul Gavrikov, Janis Keuper:
Can Biases in ImageNet Models Explain Generalization? CoRR abs/2404.01509 (2024) - [i11]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:
GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models. CoRR abs/2410.06154 (2024) - [i10]Paul Gavrikov, Shashank Agnihotri, Margret Keuper, Janis Keuper:
How Do Training Methods Influence the Utilization of Vision Models? CoRR abs/2410.14470 (2024) - 2023
- [j2]Jovita Lukasik, Paul Gavrikov, Janis Keuper, Margret Keuper:
Improving Native CNN Robustness with Filter Frequency Regularization. Trans. Mach. Learn. Res. 2023 (2023) - [c6]Paul Gavrikov, Janis Keuper, Margret Keuper:
An Extended Study of Human-like Behavior under Adversarial Training. CVPR Workshops 2023: 2361-2368 - [c5]Paul Gavrikov, Janis Keuper:
On the Interplay of Convolutional Padding and Adversarial Robustness. ICCV (Workshops) 2023: 3983-3992 - [i9]Paul Gavrikov, Janis Keuper:
Rethinking 1x1 Convolutions: Can we train CNNs with Frozen Random Filters? CoRR abs/2301.11360 (2023) - [i8]Paul Gavrikov, Janis Keuper, Margret Keuper:
An Extended Study of Human-like Behavior under Adversarial Training. CoRR abs/2303.12669 (2023) - [i7]Paul Gavrikov, Janis Keuper:
On the Interplay of Convolutional Padding and Adversarial Robustness. CoRR abs/2308.06612 (2023) - [i6]Paul Gavrikov, Janis Keuper:
Don't Look into the Sun: Adversarial Solarization Attacks on Image Classifiers. CoRR abs/2308.12661 (2023) - 2022
- [c4]Paul Gavrikov, Janis Keuper:
Adversarial Robustness through the Lens of Convolutional Filters. CVPR Workshops 2022: 138-146 - [c3]Paul Gavrikov, Janis Keuper:
CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters. CVPR 2022: 19044-19054 - [c2]Julia Grabinski, Paul Gavrikov, Janis Keuper, Margret Keuper:
Robust Models are less Over-Confident. NeurIPS 2022 - [i5]Paul Gavrikov, Janis Keuper:
An Empirical Investigation of Model-to-Model Distribution Shifts in Trained Convolutional Filters. CoRR abs/2201.08465 (2022) - [i4]Paul Gavrikov, Janis Keuper:
CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters. CoRR abs/2203.15331 (2022) - [i3]Paul Gavrikov, Janis Keuper:
Adversarial Robustness through the Lens of Convolutional Filters. CoRR abs/2204.02481 (2022) - [i2]Julia Grabinski, Paul Gavrikov, Janis Keuper, Margret Keuper:
Robust Models are less Over-Confident. CoRR abs/2210.05938 (2022) - [i1]Paul Gavrikov, Janis Keuper:
Does Medical Imaging learn different Convolution Filters? CoRR abs/2210.13799 (2022) - 2020
- [j1]Paul Gavrikov, Matthias Lai, Thomas Michael Wendt:
Exploring Non-Idealities in Real Device Implementations of Bluetooth Mesh. Int. J. Interdiscip. Telecommun. Netw. 12(4): 52-64 (2020)
2010 – 2019
- 2018
- [c1]Paul Gavrikov, Pascal E. Verboket, Tolgay Ungan, Markus Muller, Matthias Lai, Christian Schindelhauer, Leonhard M. Reindl, Thomas M. Wendt:
Using Bluetooth Low Energy to trigger an ultra-low power FSK wake-up receiver. ICECS 2018: 781-784
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