Self-conditioned flow language models solve fixed-point iterations, enabling fixed-point flow maps that distill into FMLM* which outperforms SOTA in few-step generation on OpenWebText.
Numerical methods for mean field games and mean field type control.arXiv preprint arXiv:2106.06231,
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A differentiable neural framework for learning state- and time-dependent parameters of finite-state mean field games from population trajectories via implicit differentiation.
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Self-conditioned Flow Map Language Models via Fixed-point Flows
Self-conditioned flow language models solve fixed-point iterations, enabling fixed-point flow maps that distill into FMLM* which outperforms SOTA in few-step generation on OpenWebText.
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Neural Parameter Calibration for Finite-State Mean Field Games
A differentiable neural framework for learning state- and time-dependent parameters of finite-state mean field games from population trajectories via implicit differentiation.