AdaptFNO: Adaptive Fourier Neural Operator with Dynamic Spectral Modes and Multiscale Learning
(CIKM '25 Oral) Learnable Orthogonal Decomposition for Non-Regressive Prediction for PDE
Repositório oficial do artigo "Otimização de operações de E/S em aplicações científicas de aprendizado de máquina guiadas pelo Drishti" (ERAD). Código-fonte, scripts de perfilamento e resultados.
BT-FNO / MoBTE: parametrize the FNO spectral weight as a sum of R rank-(L,L,1) block-terms - the sum-of-Tucker-blocks that CP-FNO and Tucker-FNO bracket but neither covers - and route a mixture of them (MoBTE) so one foundation operator serves many PDEs. On real multi-PDE PDEBench at matched parameters the block-term kernel beats CP by 8-14% and...
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