Frederik Pahde

According to our database, Frederik Pahde authored at least 13 papers between 2018 and 2024.

Collaborative distances:

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

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

CoRR, 2024

Explainable Concept Mappings of MRI: Revealing the Mechanisms Underlying Deep Learning-Based Brain Disease Classification.

Christian Tinauer, Anna Damulina, Maximilian Sackl, Martin Soellradl, Reduan Achtibat, Maximilian Dreyer, Frederik Pahde, Sebastian Lapuschkin, Reinhold Schmidt, Stefan Ropele, Wojciech Samek, Christian Langkammer

Proceedings of the Explainable Artificial Intelligence, 2024

Reactive Model Correction: Mitigating Harm to Task-Relevant Features via Conditional Bias Suppression.

Dilyara Bareeva, Maximilian Dreyer, Frederik Pahde, Wojciech Samek, Sebastian Lapuschkin

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

From Hope to Safety: Unlearning Biases of Deep Models by Enforcing the Right Reasons in Latent Space.

Maximilian Dreyer, Frederik Pahde, Christopher J. Anders, Wojciech Samek, Sebastian Lapuschkin

CoRR, 2023

Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models.

Frederik Pahde, Maximilian Dreyer, Wojciech Samek, Sebastian Lapuschkin

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Optimizing Explanations by Network Canonization and Hyperparameter Search.

Frederik Pahde, Galip Ümit Yolcu, Alexander Binder, Wojciech Samek, Sebastian Lapuschkin

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

2022

PatClArC: Using Pattern Concept Activation Vectors for Noise-Robust Model Debugging.

Frederik Pahde, Leander Weber, Christopher J. Anders, Wojciech Samek, Sebastian Lapuschkin

CoRR, 2022

2021

Multimodal Prototypical Networks for Few-shot Learning.

Frederik Pahde, Mihai Marian Puscas, Tassilo Klein, Moin Nabi

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

2019

Low-Shot Learning From Imaginary 3D Model.

Frederik Pahde, Mihai Marian Puscas, Jannik Wolff, Tassilo Klein, Nicu Sebe, Moin Nabi

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Self-Paced Adversarial Training for Multimodal Few-Shot Learning.

Frederik Pahde, Oleksiy Ostapenko, Patrick Jähnichen, Tassilo Klein, Moin Nabi

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

2018

Cross-modal Hallucination for Few-shot Fine-grained Recognition.

Frederik Pahde, Patrick Jähnichen, Tassilo Klein, Moin Nabi

CoRR, 2018

Discriminative Hallucination for Multi-Modal Few-Shot Learning.

Frederik Pahde, Moin Nabi, Tassilo Klein, Patrick Jähnichen

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018