Selection, Representation, and Execution in Sparse Fourier Neural Operators

arXiv:2608.30070 · cs.LG, cs.NA, math.NA · Submitted 2026-08-30 · Read on arXiv

cs.LG, cs.NA, math.NA

Submitted: 2026-08-30

Updated: 2026-08-30

Code: https://github.com/aqibrahimbt/sparsity_is_not_speed

Terminology

• Sparsity — 29× in this paper · explained in 4 episodes
• Accuracy — 19× in this paper · explained in 1 episode
• Benchmark — 12× in this paper · explained in 2 episodes
• Pruning — 4× in this paper · explained in 4 episodes
• DeepONet — 3× in this paper · explained in 2 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Curse of Dimensionality — 1× in this paper · explained in 6 episodes
• Mixture of Experts — 1× in this paper · explained in 2 episodes
• Quantization — 1× in this paper · explained in 12 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Uncertainty Quantification — 1× in this paper · explained in 8 episodes
• Wavelet Transform — 1× in this paper · explained in 2 episodes

Sources

• Don't Fix the Basis -- Learn It: Spectral Representation with Adaptive Basis Learning for PDEs
• Operator Boosting Produces Pareto-Efficient PDE Surrogates

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