Author

Pablo Acuaviva

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#artificial intelligence Preprint Feb 2026

COMiT: Learning Structured Visual Tokens through Sequential Communication

This work introduces COMiT, a communication-inspired framework for learning structured discrete visual representations that substantially improves compositional generalization and relational reasoning over prior methods.

Aram Davtyan, Y. Şahin, Yasaman Haghighi et al. · 0 citations

Preprint Aug 2026

CNOT-Distance is NP-complete under all-to-all connectivity

A polynomial-time decoder yields NP-hardness of approximation within every fixed additive constant and, through an L-reduction from Minimum Vertex Cover on cubic graphs, APX-hardness of the associated CNOT-circuit optimisation problem.

A. Acuaviva, Arturo Acuaviva, Pablo Acuaviva · 2 citations