Token Recycling for Efficient Sequential Inference with Vision Transformers. - Jan Olszewski; Dawid Rymarczyk; Piotr Wójcik; Mateusz Pach; Bartosz Zielinski 001 (CoRR, 2023)

LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision. - Mateusz Pach; Koryna Lewandowska; Jacek Tabor; Bartosz Michal Zielinski; Dawid Damian Rymarczyk (ICLR, 2025)

TORE: Token Recycling in Vision Transformers for Efficient Active Visual Exploration. - Jan Olszewski; Dawid Rymarczyk; Piotr Wójcik; Mateusz Pach; Bartosz Zielinski 001 (WACV, 2025)

Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models. - Mateusz Pach; Shyamgopal Karthik; Quentin Bouniot; Serge J. Belongie; Zeynep Akata (CoRR, 2025)