[1902.04615] Gauge Equivariant Convolutional Networks and the ...

Gauge Equivariant Convolutional Networks and the Icosahedral CNN

Computer Science > Machine Learning. arXiv:1902.04615 (cs). [Submitted on 11 Feb 2019 (v1), last revised 13 May 2019 (this version, v3)] ...

Gauge Equivariant Convolutional Networks and the Icosahedral CNN

network is constructed such that if the gauge is changed,. arXiv:1902.04615v3 [cs.LG] 13 May 2019. Page 2. Gauge Equivariant CNNs the coefficients change in a ...

[1902.04615] Gauge Equivariant Convolutional Networks and the ...

The gauge equivariant CNN can be constructed using the methods of paper on equivariant CNNs in homogeneous spaces by taking the principle bundle to be the ...

Gauge Equivariant Convolutional Networks and the Icosahedral CNN

The principle of equivariance to symmetry trans- formations enables a theoretically grounded ap- proach to neural network architecture design. Equivariant ...

Gauge Equivariant Convolutional Networks and the Icosahedral ...

Gauge Equivariant Convolutional Networks and the Icosahedral CNN ... proach to neural network architecture design. Equivariant networks ... arXiv:1902.04615v3 [cs.

Gauge Equivariant Convolutional Networks and the Icosahedral CNN

PDF | Analysis of the paper Gauge Equivariant Convolutional Networks and the Icosahedral CNN https://arxiv.org/abs/1902.04615 URL.

An Easy Guide to Gauge Equivariant Convolutional Networks

(https://arxiv.org/abs/1902.04615), which I want to explore in this article. The paper uses the language of gauge theory, which lies in the ...

Gauge Equivariant Convolutional Networks and the Icosahedral CNN

Abstract Abstract (translated by Google) URL PDFAbstractThe idea of equivariance to symmetry transformations provides one of the first ...

Gauge Equivariant Convolutional Networks and the Icosahedral CNN

By choosing to work with this very regu- lar manifold, we are able to implement the gauge equivariant convolution using a single conv2d call, making it a highly ...

Equivariance and Symmetries in CNNs - James Urquhart Allingham

[3] Cohen, Taco S., et al. "Gauge equivariant convolutional networks and the icosahedral cnn." arXiv preprint arXiv:1902.04615(2019). Page ...

Equivariant convolutional networks. - Research Explorer

... convolutional neural networks. We began in ... “Gauge Equivariant Convolutional Networks and the Icosahedral CNN”. In: (May 13, 2019). arXiv: 1902.04615.

Gauge equivariant convolutional neural networks - Chalmers ODR

Keywords: Convolutional neural networks, machine learning, manifolds, group, gauge, Python, Tensorflow, Keras. v. Page 6. Page 7 ...

Gauge Equivariant Convolutional Networks and the Icosahedral CNN

Gauge equivariant convolution using a single conv2d call is demonstrated, making it a highly scalable and practical alternative to Spherical CNNs and ...

Applications of Lattice Gauge Equivariant Neural Networks

the Icosahedral CNN, in Proceedings of the 36th International Conference on Machine Learning (JMLR, 2019), Vol. 97, pp. 1321–1330, 1902.04615 [Google Scholar] ...

Geometrical aspects of lattice gauge equivariant convolutional ...

Lattice gauge equivariant convolutional neural networks (L-CNNs) are a ... 1902.04615. edit. 1-25 of 34; 1; 2. 25 / page.

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"Gauge Equivariant Convolutional Networks and the Icosahedral CNN" Taco S. Cohen, Maurice Weiler, Berkay Kicanaoglu, Max Welling :...

Attentive Group Equivariant Convolutional Networks

Cohen, T. S., Weiler, M., Kicanaoglu, B., and Welling, M. Gauge equivariant convolutional networks and the icosa- hedral cnn. arXiv preprint arXiv:1902.04615, ...

Applications of Lattice Gauge Equivariant Neural Networks - INSPIRE

Gauge Equivariant Convolutional Networks and the Icosahedral CNN · Taco S. Cohen. ,. Maurice Weiler. ,. Berkay Kicanaoglu. ,. Max Welling. e-Print: 1902.04615.

Gauge Equivariant Neural Networks for Quantum Lattice Gauge ...

Gauge equivariant neural-network quantum states are introduced, which exactly satisfy the local Hilbert space constraints necessary for the description of ...

(PDF) Applications of Lattice Gauge Equivariant Neural Networks

PDF | The introduction of relevant physical information into neural network architectures has become a widely used and successful strategy for improving.