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2 results for “latent dynamics”
Quantum-Structured World Models (QSWMs) for Predictive Latent Dynamics
Researchers propose Quantum-Structured World Models (QSWMs), a quantum-inspired framework for world modeling using complex-valued and density-matrix-like latent representations, evaluated on elementary cellular automata with mixed results showing short-horizon promise but long-horizon limitations.
Aug 7, 2026
SJEPA: Learning Elegant Latent Dynamics with Hybrid Symbolic-Neural Predictors
SJEPA is a new joint-embedding predictive architecture that integrates symbolic rules with neural corrections to learn interpretable, low-complexity latent dynamics — advancing the goal of making AI models' internal state transitions both predictive and human-understandable.
Aug 6, 2026