Equivariant neural networks for recovery of Hadamard matrices

Equivariant neural networks for recovery of Hadamard matrices

31 January 2022

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Papers citing "Equivariant neural networks for recovery of Hadamard matrices"

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Title
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 358 1,160 0 27 Apr 2021
A* Search Without Expansions: Learning Heuristic Functions with Deep Q-Networks Forest Agostinelli Alexander Shmakov Stephen Marcus McAleer Roy Fox Pierre Baldi 23 19 0 08 Feb 2021
The general theory of permutation equivarant neural networks and higher order graph variational encoders Erik H. Thiede Truong-Son Hy Risi Kondor 51 35 0 08 Apr 2020
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon Yoshua Bengio Andrea Lodi Antoine Prouvost 155 1,391 0 15 Nov 2018
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups Risi Kondor Shubhendu Trivedi MLT 114 500 0 11 Feb 2018
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 730 132,199 0 12 Jun 2017
Learning Combinatorial Optimization Algorithms over Graphs H. Dai Elias Boutros Khalil Yuyu Zhang B. Dilkina Le Song 116 1,472 0 05 Apr 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 596 7,485 0 04 Apr 2017
Deep Sets Manzil Zaheer Satwik Kottur Siamak Ravanbakhsh Barnabás Póczós Ruslan Salakhutdinov Alex Smola 415 2,473 0 10 Mar 2017
Equivariance Through Parameter-Sharing Siamak Ravanbakhsh J. Schneider Barnabás Póczós 92 258 0 27 Feb 2017
Group Equivariant Convolutional Networks Taco S. Cohen Max Welling BDL 171 1,945 0 24 Feb 2016