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