Author

Ruslan Rakhimov

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Preprint Jul 2026

Qantara: Bridge-Flow Training for Multi-Paradigm JEPA Control

Qantara is presented, an end-to-end JEPA whose joint training objective pairs a Brownian-bridge interpolant between consecutive clean latents on the state axis with noise-to-data flow matching on the action axis, and these results move JEPA world models from single-paradigm planners to multi-paradigm controllers.

Ruslan Rakhimov, George Bredis, Yuriy Maksyuta et al. · 2 citations