Geometric Clifford Algebra Networks
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Abstract (arXiv)
We propose Geometric Clifford Algebra Networks (GCANs) for modeling dynamical systems. GCANs are based on symmetry group transformations using geometric (Clifford) algebras. We first review the quintessence of modern (plane-based) geometric algebra, which builds on isometries encoded as elements of the Pin(p,q,r) group. We then propose the concept of group action layers, which linearly combine object transformations using pre-specified group actions. Together with a new activation and normalization scheme, these layers serve as adjustable textitgeometric templates that can be refined via gradient descent. Theoretical advantages are strongly reflected in the modeling of three-dimensional rigid body transformations as well as large-scale fluid dynamics simulations, showing significantly improved performance over traditional methods.
Key facts. Cited by 37 papers in the map (data through 7 Oct 2026). Builds on 74 of its 130 references that are in the map. First posted on arXiv 13 Feb 2023.
Builds on
74 of 130 references.
References · 74
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50 most cited of 74 All 74 (JSON)
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Citing papers per year: 2023: 10; 2024: 11; 2025: 9; 2026: 7.
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- 2023PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solverscited by 205
- 2023Clifford Group Equivariant Neural Networkscited by 54
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- 2025Fast Clifford Neural Layerscited by 0
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- 2025Geometric Dynamics of Consumer Credit Cycles: A Multivector-based Linear-Attention Framework for Explanatory Economic Analysiscited by 0
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- 2026On Lie Groups Preserving Subspaces of Degenerate Clifford Algebrascited by 0
- 2026Clifford Kolmogorov-Arnold Networkscited by 0
- 2026A Geometric Algebra-informed NeRF Framework for Generalizable Wireless Channel Predictioncited by 0
- 2026Recursive Binding on a Budget: Subspace Carving in Order-p Tensor Memoriescited by 0
- 2026Clifford Sheaf Neural Networkscited by 0
- 2026Clifford Sheaf Neural Networks1 Oct 2026
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- 2026Geometric Algebra Meets Cartesian Tensors: Higher-Order Equivariance for Interatomic Potentials28 Jun 2026
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- 2026A Geometric Algebra-informed NeRF Framework for Generalizable Wireless Channel Prediction13 Apr 2026
- 2026Clifford Kolmogorov-Arnold Networks5 Feb 2026
- 2026On Lie Groups Preserving Subspaces of Degenerate Clifford Algebras12 Jan 2026
- 2025Intrinsic-Metric Physics-Informed Neural Networks (IM-PINN) for Reaction-Diffusion Dynamics on Complex Riemannian Manifolds26 Dec 2025
- 2025Interaction as Interference: A Quantum-Inspired Aggregation Approach13 Nov 2025
- 2025Conditional Clifford-Steerable CNNs for PDE Modeling15 Oct 2025
- 2025Geometric Dynamics of Consumer Credit Cycles: A Multivector-based Linear-Attention Framework for Explanatory Economic Analysis8 Sep 2025
- 2025Hybrid Diffusion Policies with Projective Geometric Algebra for Efficient Robot Manipulation Learning8 Jul 2025
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- 2025Clifford Group Equivariant Diffusion Models for 3D Molecular Generation22 Apr 2025
- 2025GAGrasp: Geometric Algebra Diffusion for Dexterous Grasping6 Mar 2025
- 2024Generating Highly Designable Proteins with Geometric Algebra Flow Matching7 Nov 2024
- 2024Does equivariance matter at scale?30 Oct 2024
- 2024STAResNet: a Network in Spacetime Algebra to solve Maxwell's PDEs24 Aug 2024
- 2024Geometric Algebra Meets Large Language Models: Instruction-Based Transformations of Separate Meshes in 3D, Interactive and Controllable Scenes5 Aug 2024
- 2024Fully tensorial approach to hypercomplex-valued neural networks29 Jun 2024
- 2024Differentiable and Learnable Wireless Simulation with Geometric Transformers21 Jun 2024
- 2024Multivector Neurons: Better and Faster O(n)-Equivariant Clifford Graph Neural Networks6 Jun 2024
- 2024Randomized Geometric Algebra Methods for Convex Neural Networks4 Jun 2024
- 2024Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics23 May 2024
- 2024Clifford-Steerable Convolutional Neural Networks22 Feb 2024
- 2024Clifford Group Equivariant Simplicial Message Passing Networks15 Feb 2024
- 2023Compact Matrix Quantum Group Equivariant Neural Networks10 Nov 2023
- 2023Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space4 Oct 2023
- 2023AI Foundation Models for Weather and Climate: Applications, Design, and Implementation19 Sep 2023
- 2023Understanding Vector-Valued Neural Networks and Their Relationship with Real and Hypercomplex-Valued Neural Networks14 Sep 2023
- 2023MatSciML: A Broad, Multi-Task Benchmark for Solid-State Materials Modeling12 Sep 2023
- 2023PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers10 Aug 2023
- 2023Fast Dynamic 1D Simulation of Divertor Plasmas with Neural PDE Surrogates30 May 2023
- 2023Geometric Algebra Transformer28 May 2023
- 2023Learning Lagrangian Fluid Mechanics with E(3)-Equivariant Graph Neural Networks24 May 2023
- 2023Clifford Group Equivariant Neural Networks18 May 2023
- 2023Clifford Group Equivariant Neural Networkscited by 54
- 2024Does equivariance matter at scale?cited by 49
- 2023Geometric Algebra Transformercited by 46
- 2023Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation Spacecited by 40
- 2024Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physicscited by 36
- 2024Clifford-Steerable Convolutional Neural Networkscited by 24
- 2024Clifford Group Equivariant Simplicial Message Passing Networkscited by 22
- 2023AI Foundation Models for Weather and Climate: Applications, Design, and Implementationcited by 19
- 2023MatSciML: A Broad, Multi-Task Benchmark for Solid-State Materials Modelingcited by 14
- 2023Learning Lagrangian Fluid Mechanics with E(3)-Equivariant Graph Neural Networkscited by 12
- 2023Fast Dynamic 1D Simulation of Divertor Plasmas with Neural PDE Surrogatescited by 9
- 2024Generating Highly Designable Proteins with Geometric Algebra Flow Matchingcited by 7
12 most cited of 34 All 34 (JSON)
- 2026Clifford Sheaf Neural Networks1 Oct 2026
- 2026Ananke: Contractive Torus Attractor Networks21 Sep 2026
- 2026Geometric Algebra Meets Cartesian Tensors: Higher-Order Equivariance for Interatomic Potentials28 Jun 2026
- 2026Recursive Binding on a Budget: Subspace Carving in Order-p Tensor Memories9 Jun 2026
- 2026A Geometric Algebra-informed NeRF Framework for Generalizable Wireless Channel Prediction13 Apr 2026
- 2026Clifford Kolmogorov-Arnold Networks5 Feb 2026
- 2026On Lie Groups Preserving Subspaces of Degenerate Clifford Algebras12 Jan 2026
- 2025Intrinsic-Metric Physics-Informed Neural Networks (IM-PINN) for Reaction-Diffusion Dynamics on Complex Riemannian Manifolds26 Dec 2025
- 2025Interaction as Interference: A Quantum-Inspired Aggregation Approach13 Nov 2025
- 2025Conditional Clifford-Steerable CNNs for PDE Modeling15 Oct 2025
- 2025Geometric Dynamics of Consumer Credit Cycles: A Multivector-based Linear-Attention Framework for Explanatory Economic Analysis8 Sep 2025
- 2025FoGE: Fock Space inspired encoding for graph prompting26 Jun 2025
12 newest of 34 All 34 (JSON)