Sidney Bender
Sidney Bender
Ahmed Zeid, Sidney Bender
SCE-LITE-HQ: Smooth visual counterfactual explanations with generative foundation models
Weronika Kłos, Sidney Bender, Lukas Kades
Protein Counterfactuals via Diffusion-Guided Latent Optimization
Sidney Bender, Marco Morik
Visual Disentangled Diffusion Autoencoders: Scalable Counterfactual Generation for Foundation Models
Jakob Hackstein, Sidney Bender
Imbalanced Classification through the Lens of Spurious Correlations
Sidney Bender, Ole Delzer, Jan Herrmann, Heike Antje Marxfeld, Klaus-Robert Müller, Grégoire Montavon
Mitigating Clever Hans Strategies in Image Classifiers through Generating Counterexamples
BIFOLD researchers present three papers at ICLR 2024
The International Conference on Learning Representations (ICLR) is a Core-A gathering of experts who are dedicated to advancing a branch of artificial intelligence known as representation learning, which is also called deep learning.