The paper by Fotios Lygerakis, Ozan Özdenizci, and Elmar Rueckert titled ‘ViTaPEs: Visuotactile Position Encodings for Cross-Modal Alignment in Multimodal Transformers’ has been accepted for publication at TMLR (Transactions on Machine Learning Research) in April 2026.

The work introduces a novel approach for aligning visual and tactile information in multimodal transformer architectures, enabling more effective cross-modal learning.

You can access the paper and reviews here: https://openreview.net/forum?id=mxzzO66Zbu