Spectral tensor train parameterization of deep learning layers
Spectral tensor train parameterization of deep learning layers
Obukhov, Anton
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Rakhuba, Maxim
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Liniger, Alexander
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Huang, Zhiwu
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Georgoulis, Stamatios
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Dai, Dengxin
8e362c1c-4ce0-44f8-a3f1-ca1b897a356b
Van Gool, Luc
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13 August 2021
Obukhov, Anton
69c25caf-d3b0-426d-a15c-66eef826a6bf
Rakhuba, Maxim
aa976d66-9a72-4204-b326-c817fad406d1
Liniger, Alexander
1a12d9a8-26bf-4aa5-b940-92f27d78775b
Huang, Zhiwu
84f477cd-9097-44dd-a33e-ff71f253d36b
Georgoulis, Stamatios
2c0c1c7d-a1c4-4c74-860e-5051d803dd0e
Dai, Dengxin
8e362c1c-4ce0-44f8-a3f1-ca1b897a356b
Van Gool, Luc
ef628918-631d-4515-8e59-17fae59a8ba2
Obukhov, Anton, Rakhuba, Maxim, Liniger, Alexander, Huang, Zhiwu, Georgoulis, Stamatios, Dai, Dengxin and Van Gool, Luc
(2021)
Spectral tensor train parameterization of deep learning layers.
In International Conference on Artificial Intelligence and Statistics.
vol. 130,
11 pp
.
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Conference or Workshop Item
(Paper)
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Published date: 13 August 2021
Venue - Dates:
24th International Conference on Artificial Intelligence and Statistics, , San Diego, United States, 2021-04-13 - 2021-04-15
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Local EPrints ID: 501684
URI: http://eprints.soton.ac.uk/id/eprint/501684
PURE UUID: 7e590822-8e23-4e29-ad8f-c7fbcd7c42e9
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Date deposited: 05 Jun 2025 16:58
Last modified: 06 Jun 2025 02:06
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Contributors
Author:
Anton Obukhov
Author:
Maxim Rakhuba
Author:
Alexander Liniger
Author:
Zhiwu Huang
Author:
Stamatios Georgoulis
Author:
Dengxin Dai
Author:
Luc Van Gool
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