2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Probing Length Generalization in Mamba via Image Reconstruction
Jan Rathjens, Robin Schiewer, Laurenz Wiskott +1
Mamba has attracted widespread interest as a general-purpose sequence model due to its low computational complexity and competitive performance relative to transformers. However, i…
cs.CV2024
Understanding Transformer-Based Vision Models via Modular Feature Inversion
Jan Rathjens, Shirin Reyhanian, David Kappel +1
Understanding the internal mechanisms of deep neural networks remains a central challenge in machine learning. In computer vision, one promising yet only preliminarily explored app…
cs.LG2024★ 2 cited
Classification and Reconstruction Processes in Deep Predictive Coding Networks: Antagonists or Allies?
Jan Rathjens, Laurenz Wiskott
Predictive coding-inspired deep networks for visual computing integrate classification and reconstruction processes in shared intermediate layers. Although synergy between these pr…