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[2212.08630] Brauer's Group Equivariant Neural Networks


[2212.08630] Brauer's Group Equivariant Neural Networks - arXiv

We provide a full characterisation of all of the possible group equivariant neural networks whose layers are some tensor power of \mathbb{R}^{n} for three ...

Brauer's Group Equivariant Neural Networks

Brauer's Group Equivariant Neural Networks. Edward Pearce-Crump. Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27461-27482, ...

arXiv:2212.08630v2 [cs.LG] 18 Jun 2023

... equivariant. 8. Page 9. Brauer's Group Equivariant Neural Networks on order 5 tensors of R3. The authors, however, use standard multi-layer ...

Paper page - Brauer's Group Equivariant Neural Networks

We provide a full characterisation of all of the possible group equivariant neural networks whose layers are some tensor power of R^{n} for three symmetry ...

Brauer's Group Equivariant Neural Networks - NASA/ADS

We provide a full characterisation of all of the possible group equivariant neural networks whose layers are some tensor power of $\mathbb{R}^{n}$ for three ...

[PDF] Brauer's Group Equivariant Neural Networks | Semantic Scholar

We provide a full characterisation of all of the possible group equivariant neural networks whose layers are some tensor power of $\mathbb{R}^{n}$ for three ...

Brauer's Group Equivariant Neural Networks (2022) | Edward ...

(DOI: 10.48550/arXiv.2212.08630) We provide a full characterisation of all of the possible group equivariant neural networks whose layers are some tensor ...

An Algorithm for Computing with Brauer's Group Equivariant Neural ...

The learnable, linear neural network layers between tensor power spaces of R n that are equivariant to the orthogonal group, O ( n ) , the special ...

Research - Edward Pearce-Crump

... group, $Sp(n)$, were characterised in arXiv:2212.08630. We present an ... Brauer's Group Equivariant Neural Networks. Edward Pearce-Crump. Accepted for ...

An Algorithm for Computing with Brauer's Group Equivariant Neural ...

... equivariant to the orthogonal group, $O ... group, $Sp(n)$, were characterised in arXiv:2212.08630. ... neural networks. The main contribution of this ...

Exploring Group Equivariant Neural Networks using Set Partition ...

Pearce-Crump (2022): Brauer's Group Equivariant Neural Networks, arXiv:2212.08630, ICML. 2023 (live oral presentation). Edward Pearce-Crump.

Shubhendu Trivedi on X: "Two very interesting (related) articles on ...

... arxiv.org/abs/2212.08648 - "Brauer's Group Equivariant Neural Networks" https://arxiv.org/abs/2212.08630 1/. 8:43 PM · Dec 24, 2022. ·. 12.6K. Views. 7.

Diagrammatic Mathematics for Equivariant Deep Learning ...

Pearce-Crump (2022): Brauer's Group Equivariant Neural Networks, arXiv:2212.08630, ICML. 2023. 16 / 51. Page 17. Brauer's Invariant Argument. It can be shown ...

An Algorithm for Computing with Brauer's Group Equivariant Neural ...

The learnable, linear neural network layers between tensor power spaces of $\mathbb{R}^{n}$ that are equivariant to the orthogonal group, ...

Brauer's Group Equivariant Neural Networks - arxiv-summary

Characterization of group equivariant neural networks with layers as tensor power of $\mathbb{R}^{n}$ for 3 symmetry groups · Spanning set of ...

Edward Pearce-Crump - arxiv-sanity

... group, $Sp(n)$, were characterised in arXiv:2212.08630. We present an ... Brauer's Group Equivariant Neural Networks. Edward Pearce-Crump. Jun 18 2023.

How Jellyfish Characterise Alternating Group Equivariant Neural ...

ral networks whose layers are some tensor power of Rn. In particular, we find a ... Brauer's Group Equivariant Neural Net- works. arXiv:2212.08630, 2022b.

How jellyfish characterise alternating group equivariant neural ...

Pearce-Crump, E. Brauer's Group Equivariant Neural Networks. arXiv:2212.08630, 2022b. ... Ravanbakhsh, S. Universal Equivariant Multilayer ...

arxiv-sanity

... group, $Sp(n)$, were characterised in arXiv:2212.08630. We present an ... Brauer's Group Equivariant Neural Networks. Edward Pearce-Crump. Jun 18 2023.

(PDF) Graph Automorphism Group Equivariant Neural Networks

PDF | Permutation equivariant neural networks are typically used to learn from data that lives on a graph. However, for any graph $G$ that ...