Expressive power of recurrent neural networks

2 November 2017

Papers citing "Expressive power of recurrent neural networks"

26 / 26 papers shown

Title
The impact of allocation strategies in subset learning on the expressive power of neural networks Ofir Schlisselberg Ran Darshan 93 0 0 10 Feb 2025
A Tensor Decomposition Perspective on Second-order RNNs M. Lizaire Michael Rizvi-Martel Marawan Gamal Abdel Hameed Guillaume Rabusseau 55 0 0 07 Jun 2024
Quantized Fourier and Polynomial Features for more Expressive Tensor Network Models Frederiek Wesel Kim Batselier 24 1 0 11 Sep 2023
On the Ability of Graph Neural Networks to Model Interactions Between Vertices Noam Razin Tom Verbin Nadav Cohen 23 10 0 29 Nov 2022
Error Analysis of Tensor-Train Cross Approximation Zhen Qin Alexander Lidiak Zhexuan Gong Gongguo Tang M. Wakin Zhihui Zhu 33 9 0 09 Jul 2022
Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks Noam Razin Asaf Maman Nadav Cohen 49 29 0 27 Jan 2022
More Efficient Sampling for Tensor Decomposition With Worst-Case Guarantees Osman Asif Malik 36 14 0 14 Oct 2021
Tensor-Train Density Estimation Georgii Sergeevich Novikov Maxim Panov Ivan Oseledets 49 35 0 30 Jul 2021
Tensor-Train Recurrent Neural Networks for Interpretable Multi-Way Financial Forecasting Y. Xu G. G. Calvi Danilo P. Mandic AI4TS 19 11 0 11 May 2021
Rank-R FNN: A Tensor-Based Learning Model for High-Order Data Classification Konstantinos Makantasis Alexandros Georgogiannis A. Voulodimos Ioannis Georgoulas Anastasios Doulamis N. Doulamis 26 21 0 11 Apr 2021
Residual Matrix Product State for Machine Learning Ye Meng Jing Zhang Peng Zhang Chao Gao Shi-Ju Ran 36 12 0 22 Dec 2020
Expressivity of Deep Neural Networks Ingo Gühring Mones Raslan Gitta Kutyniok 16 51 0 09 Jul 2020
Learning with tree tensor networks: complexity estimates and model selection Bertrand Michel A. Nouy 8 14 0 02 Jul 2020
The Depth-to-Width Interplay in Self-Attention Yoav Levine Noam Wies Or Sharir Hofit Bata Amnon Shashua 30 45 0 22 Jun 2020
Supervised Learning for Non-Sequential Data: A Canonical Polyadic Decomposition Approach A. Haliassos Kriton Konstantinidis Danilo P. Mandic 29 1 0 27 Jan 2020
Optimal Function Approximation with Relu Neural Networks Bo Liu Yi Liang 25 33 0 09 Sep 2019
Expressive power of tensor-network factorizations for probabilistic modeling, with applications from hidden Markov models to quantum machine learning I. Glasser R. Sweke Nicola Pancotti Jens Eisert J. I. Cirac 28 123 0 08 Jul 2019
Tucker Decomposition Network: Expressive Power and Comparison Ye Liu Junjun Pan Michael K. Ng 24 1 0 23 May 2019
Generalized Tensor Models for Recurrent Neural Networks Valentin Khrulkov Oleksii Hrinchuk Ivan Oseledets GNN 27 25 0 30 Jan 2019
Learning with tree-based tensor formats Erwan Grelier A. Nouy M. Chevreuil 9 23 0 11 Nov 2018
Deep Compression of Sum-Product Networks on Tensor Networks Ching-Yun Ko Cong Chen Yuke Zhang Kim Batselier Ngai Wong TPM 25 2 0 09 Nov 2018
On the Convergence Rate of Training Recurrent Neural Networks Zeyuan Allen-Zhu Yuanzhi Li Zhao Song 29 191 0 29 Oct 2018
BCR-Net: a neural network based on the nonstandard wavelet form Yuwei Fan Cindy Orozco Bohorquez Lexing Ying 15 47 0 20 Oct 2018
Connecting Weighted Automata and Recurrent Neural Networks through Spectral Learning Guillaume Rabusseau Tianyu Li Doina Precup 34 41 0 04 Jul 2018
Towards Quantum Machine Learning with Tensor Networks W. Huggins P. Patil K. B. Whaley E. Stoudenmire 25 342 0 30 Mar 2018
Learning Relevant Features of Data with Multi-scale Tensor Networks Tayssir Doghri 25 137 0 31 Dec 2017