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Learning Unitary Operators with Help From u(n)

Learning Unitary Operators with Help From u(n)

17 July 2016
Stephanie L. Hyland
Gunnar Rätsch
ArXivPDFHTML

Papers citing "Learning Unitary Operators with Help From u(n)"

14 / 14 papers shown
Title
A Survey of Geometric Optimization for Deep Learning: From Euclidean
  Space to Riemannian Manifold
A Survey of Geometric Optimization for Deep Learning: From Euclidean Space to Riemannian Manifold
Yanhong Fei
Xian Wei
Yingjie Liu
Zhengyu Li
Mingsong Chen
28
6
0
16 Feb 2023
Assessing the Unitary RNN as an End-to-End Compositional Model of Syntax
Assessing the Unitary RNN as an End-to-End Compositional Model of Syntax
Jean-Philippe Bernardy
Shalom Lappin
30
1
0
11 Aug 2022
Feedback Gradient Descent: Efficient and Stable Optimization with
  Orthogonality for DNNs
Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNs
Fanchen Bu
D. Chang
28
6
0
12 May 2022
projUNN: efficient method for training deep networks with unitary
  matrices
projUNN: efficient method for training deep networks with unitary matrices
B. Kiani
Randall Balestriero
Yann LeCun
S. Lloyd
43
32
0
10 Mar 2022
Optimal quantum dataset for learning a unitary transformation
Optimal quantum dataset for learning a unitary transformation
Zhan Yu
Xuanqiang Zhao
Benchi Zhao
Xin Wang
24
8
0
01 Mar 2022
Coordinate descent on the orthogonal group for recurrent neural network
  training
Coordinate descent on the orthogonal group for recurrent neural network training
E. Massart
V. Abrol
34
10
0
30 Jul 2021
Recurrent Quantum Neural Networks
Recurrent Quantum Neural Networks
Johannes Bausch
21
151
0
25 Jun 2020
Parameterized quantum circuits as machine learning models
Parameterized quantum circuits as machine learning models
Marcello Benedetti
Erika Lloyd
Stefan H. Sack
Mattia Fiorentini
27
869
0
18 Jun 2019
Cheap Orthogonal Constraints in Neural Networks: A Simple
  Parametrization of the Orthogonal and Unitary Group
Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group
Mario Lezcano Casado
David Martínez-Rubio
16
193
0
24 Jan 2019
Complex Gated Recurrent Neural Networks
Complex Gated Recurrent Neural Networks
Moritz Wolter
Angela Yao
AI4CE
19
64
0
21 Jun 2018
Orthogonal Recurrent Neural Networks with Scaled Cayley Transform
Orthogonal Recurrent Neural Networks with Scaled Cayley Transform
Kyle E. Helfrich
Devin Willmott
Q. Ye
43
127
0
29 Jul 2017
Gated Orthogonal Recurrent Units: On Learning to Forget
Gated Orthogonal Recurrent Units: On Learning to Forget
Li Jing
Çağlar Gülçehre
J. Peurifoy
Yichen Shen
Max Tegmark
Marin Soljacic
Yoshua Bengio
33
125
0
08 Jun 2017
On orthogonality and learning recurrent networks with long term
  dependencies
On orthogonality and learning recurrent networks with long term dependencies
Eugene Vorontsov
C. Trabelsi
Samuel Kadoury
C. Pal
ODL
31
238
0
31 Jan 2017
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using
  Householder Reflections
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections
Zakaria Mhammedi
Andrew D. Hellicar
Ashfaqur Rahman
James Bailey
14
129
0
01 Dec 2016
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