Pahde, Frederik

9 publications

MLJ 2025 Ensuring Medical AI Safety: Interpretability-Driven Detection and Mitigation of Spurious Model Behavior and Associated Data Frederik Pahde, Thomas Wiegand, Sebastian Lapuschkin, Wojciech Samek

ICLR 2025 Navigating Neural Space: Revisiting Concept Activation Vectors to Overcome Directional Divergence Frederik Pahde, Maximilian Dreyer, Moritz Weckbecker, Leander Weber, Christopher J. Anders, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin

AAAI 2024 From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space Maximilian Dreyer, Frederik Pahde, Christopher J. Anders, Wojciech Samek, Sebastian Lapuschkin

CVPRW 2024 Reactive Model Correction: Mitigating Harm to Task-Relevant Features via Conditional Bias Suppression Dilyara Bareeva, Maximilian Dreyer, Frederik Pahde, Wojciech Samek, Sebastian Lapuschkin

ECCVW 2024 Synthetic Generation of Dermatoscopic Images with GAN and Closed-Form Factorization Rohan Reddy Mekala, Frederik Pahde, Simon Baur, Sneha Chandrashekar, Madeline Diep, Markus Wenzel, Eric L. Wisotzky, Galip Ümit Yolcu, Sebastian Lapuschkin, Jackie Ma, Peter Eisert, Mikael Lindvall, Adam A. Porter, Wojciech Samek

CVPRW 2023 Optimizing Explanations by Network Canonization and Hyperparameter Search Frederik Pahde, Galip Ümit Yolcu, Alexander Binder, Wojciech Samek, Sebastian Lapuschkin

WACV 2021 Multimodal Prototypical Networks for Few-Shot Learning Frederik Pahde, Mihai Puscas, Tassilo Klein, Moin Nabi

WACV 2019 Low-Shot Learning from Imaginary 3D Model Frederik Pahde, Mihai Marian Puscas, Jannik Wolff, Tassilo Klein, Nicu Sebe, Moin Nabi

WACV 2019 Self-Paced Adversarial Training for Multimodal Few-Shot Learning Frederik Pahde, Oleksiy Ostapenko, Patrick Jähnichen, Tassilo Klein, Moin Nabi