Sidney Bender
Sidney Bender
David Bechtoldt, Sidney Bender
Faithful, Sufficient and Understandable: Rethinking Graph Counterfactual Explanations via Discrete Diffusion Inversion
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
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.