Tactile-JEPA is an efficient self-supervised pre-training method that uses the spatial arrangement of tactile sensors to learn topology-aware representations, and is trained to predict the embeddings of masked sensing elements from the unmasked remainder, using the sensor connectivity graph to guide spatial masking.
E. Kovtun, M. Konovalov, Andrey Sakhovskiy et al.· 0 citations
ChessFraud is introduced, the first public benchmark for move-level cheating detection, providing 505 tournament games with ground-truth annotations from a controlled environment where engine usage was explicitly logged, and human-aligned embeddings provide complementary signal, enabling the training of an applicable c...
Anastasiia Linich, A. Lepin, Andrey Sakhovskiy et al.· Proceedings of the 32nd ACM...· 0 citations
This work reveals that retrieval from a structured agent repository provides a cost-efficient, accurate, and controllable alternative to dynamic agent generation, responding to the strict demands of industrial applications.
Vitalii Belov, Artyom Sosedka, Andrey Sakhovskiy et al.· Annual International ACM SIG...· 0 citations
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