arXiv Machine Learning June 11, 2026 By Christoph Koller, Johannes F\"urnkranz, Timo Bertram

RePAIR: Predictive Self-Supervised Representation Learning in Chess

Read the original on arXiv Machine Learning →

arXiv:2606. 11860v1 Announce Type: new Abstract: In this paper, we introduce Representation Prediction via Autoencoding using Iterative Refinement (RePAIR) - a novel self-supervised representation learning architecture that synthesizes Masked Autoencoders (MAE), Joint Embedding Predictive Architectures (JEPA), and Bidirectional Encoder Representations from Transformers (BERT).

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