Research map / Probabilistic and scientific modeling / Dynamical systems
Geometric Clifford Algebra Networks
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use GCA-MLP layers instead of an MLP | Tetris trajectory prediction · Tetris | test MSE | Helped |
| Replace message and node update networks with GCA-MLPs | Tetris graph networks · Tetris | test MSE | Helped |
| Use GCA-ResNet layers | ResNet on shallow water equations · Shallow water equations | MSE | Helped |
| Use GCA-UNet layers | UNet on shallow water equations · Shallow water equations | MSE: more than a factor of 5 | Helped |
| Use GCA-UNet layers | UNet on Navier-Stokes equations · Navier-Stokes equations | MSE | Helped |
Closest papers by meaning
- GLGENN: A Novel Parameter-Light Equivariant Neural Networks Architecture Based on Clifford Geometric Algebras (ICML 2025 · similarity 0.86)
- Composing Linear Layers from Irreducibles (NeurIPS 2025 · similarity 0.83)
- Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics (NeurIPS 2024 · similarity 0.83)
- Clifford Group Equivariant Simplicial Message Passing Networks (ICLR 2024 · similarity 0.82)
- MatrixNet: Learning over symmetry groups using learned group representations (NeurIPS 2024 · similarity 0.82)
- Lie Neurons: Adjoint-Equivariant Neural Networks for Semisimple Lie Algebras (ICML 2024 · similarity 0.81)
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