world2vec learns mechanistic world models from observations and actions
Latent dynamics use at least ten times fewer parameters than DreamerV3, TD-MPC2 and LeWM, without reward.
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Stories tagged #system-identification
In-Context Learning for System Identification: Probabilistic Formulation, Long-Sequence Handling, and Benchmark Validation
A probabilistic Transformer meta-model performs zero-shot system identification on long sequences with calibrated uncertainty.
Attenuated in-context identification in time-series foundation models: diagnosis under counterfactual inputs and repair by synthetic forced-system fine-tuning
Time-series foundation models attenuate counterfactual dynamics; synthetic forced-system fine-tuning partly restores response magnitude.
Fast-varying Natural Frequencies and Damping Ratio Identification for Linear Time-Varying System
Physics-enhanced LSTM-EKF method identifies fast-varying natural frequencies and damping ratios in offshore wind turbines with 0.0012 Hz RMSE.