Modulation-based meta-learning in a Hamiltonian framework enables accurate few-shot adaptation and generalization across parameter space for structure-preserving dynamics without explicit system parameterization.
[2022].2 The latent shift modulation technique can be defined as the mapping: h 7→ σ W (ℓ)h + b(ℓ) + s(ℓ,k) , where s(k) = ∪L ℓ=1s(ℓ,k) = fhyper(z(k); ϕ)
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Meta-learning Structure-Preserving Dynamics
Modulation-based meta-learning in a Hamiltonian framework enables accurate few-shot adaptation and generalization across parameter space for structure-preserving dynamics without explicit system parameterization.