FourierFeaturesLetNetworksLearn HighFrequencyFunctionsinLowDimensionalDomains

Feb-8-2026, 11:34:25 GMT–Neural Information Processing Systems

Figure 1: Fourier features improve the results of coordinate-based MLPs for a variety of highfrequencylow-dimensional regression tasks, both with direct (b,c)and indirect (d,e)supervision.

artificial intelligence, machine learning, mlp, (17 more...)

Neural Information Processing Systems

Feb-8-2026, 11:34:25 GMT

Conferences PDF

Country:
- Asia > Japan
  - Honshū > Chūbu > Ishikawa Prefecture > Kanazawa (0.04)
- North America > Canada
  - British Columbia > Metro Vancouver Regional District > Vancouver (0.04)

Technology:
- Information Technology > Artificial Intelligence > Machine Learning
  - Neural Networks (0.47)
  - Statistical Learning (0.47)

Duplicate Docs Excel Report

Title
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains Matthew T ancik

Similar Docs Excel Report more

Title	Similarity	Source
None found