Sep 2026
MAdam: MLMC Adam under Markovian Noise with Application to Average-Reward Policy Optimization
Andrey Veprikov, V. Solodkin, A. Chernyavskiy et al.
· Journal of Optimization Theo... · 0 citations
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Preprint
Aug 2026
The Kuramoto Neural Operator: Learning to Solve PDEs via Coupled Oscillator Dynamics
This work introduces the Kuramoto Neural Operator (KNO), which represents the solution through the evolution of a latent field of interacting oscillators, and shows that the model's prediction error is closely linked to the collective dynamics of the latent oscillators.
Petr Badolia, L. Obukhov, Dmitry Bylinkin et al.
· 0 citations