A research group composing neural networks with known laws: small, exact, auditable models.
Website: occamolab.org · Paper: arXiv:2611.12567 · Code: lawkan
- Group-law layers and geometric deep learning
- Robot-arm calibration and inertial navigation
- Parameter-efficient models for edge and embedded deployment
hello@occamolab.org · Commercial licensing of the LawKAN code is available on request.