Author

Manikandan Padmanaban

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#machine learning Preprint Oct 2026

Low-Fidelity FDM Spectral Guidance for Neural Eigenvalue Solvers

Operator eigenvalue problems appear throughout science. Classical methods usually discretize the operator into a matrix and then solve the resulting matrix eigenvalue problem. This works well in low dimensions, but fine grids quickly become expensive in both memory and computation as the dimension grows. Neural network...

Aryan Chaudhary, Manikandan Padmanaban, Jagabondhu Hazra · 0 citations

#artificial intelligence Preprint Oct 2026

COSMOS: Soft Mechanism Mixtures with Verifiable Routing for Long-Horizon PDE Forecasting

This work proposes COSMOS (Cooperative Operator Specialists with Mechanism-level Operator Soft-routing, a soft mechanism-mixture neural operator), a soft mechanism-mixture neural operator that supports compositional accuracy, not mechanism identity.

Anupam Rawat, Manikandan Padmanaban, Jagabondhu Hazra · 0 citations