Unitary Evolution Recurrent Neural Networks

20 November 2015

Papers citing "Unitary Evolution Recurrent Neural Networks"

50 / 139 papers shown

Title
Distributed neural network control with dependability guarantees: a compositional port-Hamiltonian approach Luca Furieri C. Galimberti M. Zakwan Giancarlo Ferrari-Trecate 29 20 0 16 Dec 2021
Stable Long-Term Recurrent Video Super-Resolution Benjamin Naoto Chiche Arnaud Woiselle J. Frontera-Pons Jean-Luc Starck SupR 32 6 0 16 Dec 2021
Learning Connectivity with Graph Convolutional Networks for Skeleton-based Action Recognition H. Sahbi GNN 38 27 0 06 Dec 2021
Target Propagation via Regularized Inversion Vincent Roulet Zaïd Harchaoui BDL AAML 27 4 0 02 Dec 2021
CubeLearn: End-to-end Learning for Human Motion Recognition from Raw mmWave Radar Signals Peijun Zhao C. Lu Bing Wang A. Trigoni Andrew Markham 32 43 0 07 Nov 2021
Efficiently Modeling Long Sequences with Structured State Spaces Albert Gu Karan Goel Christopher Ré 52 1,680 0 31 Oct 2021
Heavy Ball Neural Ordinary Differential Equations Hedi Xia Vai Suliafu H. Ji T. Nguyen Andrea L. Bertozzi Stanley J. Osher Bao Wang 38 56 0 10 Oct 2021
Oscillatory Fourier Neural Network: A Compact and Efficient Architecture for Sequential Processing Bing Han Cheng Wang Kaushik Roy 34 7 0 14 Sep 2021
Acceleration Method for Learning Fine-Layered Optical Neural Networks K. Aoyama H. Sawada 27 1 0 01 Sep 2021
Existence, Stability and Scalability of Orthogonal Convolutional Neural Networks El Mehdi Achour Franccois Malgouyres Franck Mamalet 18 21 0 12 Aug 2021
Coordinate descent on the orthogonal group for recurrent neural network training E. Massart V. Abrol 37 10 0 30 Jul 2021
Stock price prediction using BERT and GAN Priyank Sonkiya Vikas Bajpai Anukriti Bansal AIFin 24 37 0 18 Jul 2021
A Universal Law of Robustness via Isoperimetry Sébastien Bubeck Mark Sellke 13 213 0 26 May 2021
Slower is Better: Revisiting the Forgetting Mechanism in LSTM for Slower Information Decay H. Chien Javier S. Turek Nicole M. Beckage Vy A. Vo C. Honey Ted Willke 19 15 0 12 May 2021
Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity Ryan Henderson Djork-Arné Clevert F. Montanari 33 26 0 11 May 2021
RotLSTM: Rotating Memories in Recurrent Neural Networks Vlad Velici Adam Prugel-Bennett RALM VLM 22 1 0 01 May 2021
Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modelling Tong Chen Hongzhi Yin Xiangliang Zhang Zi Huang Yang Wang Meng Wang 30 12 0 05 Apr 2021
Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks Bojian Yin Federico Corradi S. Bohté 50 209 0 12 Mar 2021
Learning with Hyperspherical Uniformity Weiyang Liu Rongmei Lin Zhen Liu Li Xiong Bernhard Schölkopf Adrian Weller 37 35 0 02 Mar 2021
Quantitative approximation results for complex-valued neural networks A. Caragea D. Lee J. Maly G. Pfander F. Voigtlaender 13 5 0 25 Feb 2021
MITNet: GAN Enhanced Magnetic Induction Tomography Based on Complex CNN Zuohui Chen Qing Yuan Xujie Song Cheng Chen Dan Zhang Yun Xiang Ruigang Liu Qi Xuan MedIm 46 8 0 16 Feb 2021
DL-Reg: A Deep Learning Regularization Technique using Linear Regression Maryam Dialameh A. Hamzeh Hossein Rahmani 26 3 0 31 Oct 2020
Continual Learning in Low-rank Orthogonal Subspaces Arslan Chaudhry Naeemullah Khan P. Dokania Philip Torr CLL 33 115 0 22 Oct 2020
Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies T. Konstantin Rusch Siddhartha Mishra 30 89 0 02 Oct 2020
HiPPO: Recurrent Memory with Optimal Polynomial Projections Albert Gu Tri Dao Stefano Ermon Atri Rudra Christopher Ré 54 491 0 17 Aug 2020
Deep Isometric Learning for Visual Recognition Haozhi Qi Chong You Xinyu Wang Yi Ma Jitendra Malik VLM 35 54 0 30 Jun 2020
Recurrent Quantum Neural Networks Johannes Bausch 23 152 0 25 Jun 2020
Lipschitz Recurrent Neural Networks N. Benjamin Erichson Omri Azencot A. Queiruga Liam Hodgkinson Michael W. Mahoney 30 107 0 22 Jun 2020
Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function Thomio Watanabe D. Wolf 24 22 0 18 Jun 2020
Reservoir Computing meets Recurrent Kernels and Structured Transforms Jonathan Dong Ruben Ohana M. Rafayelyan Florent Krzakala TPM 31 18 0 12 Jun 2020
Effective and Efficient Computation with Multiple-timescale Spiking Recurrent Neural Networks Bojian Yin Federico Corradi Sander M. Bohté 20 99 0 24 May 2020
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer Xiaoxu Li Dongliang Chang Zhanyu Ma Zheng-Hua Tan Jing-Hao Xue Jie Cao Jingyi Yu Jun Guo 28 31 0 20 Apr 2020
Orthogonal Over-Parameterized Training Weiyang Liu Rongmei Lin Zhen Liu James M. Rehg Liam Paull Li Xiong Le Song Adrian Weller 32 41 0 09 Apr 2020
Flexible Transmitter Network Shao-Qun Zhang Zhi-Hua Zhou 27 14 0 08 Apr 2020
Efficient Riemannian Optimization on the Stiefel Manifold via the Cayley Transform Jun Li Fuxin Li S. Todorovic 24 102 0 04 Feb 2020
Encoding word order in complex embeddings Benyou Wang Donghao Zhao Christina Lioma Qiuchi Li Peng Zhang J. Simonsen 19 111 0 27 Dec 2019
Design of optical neural networks with component imprecisions Michael Y.-S. Fang S. Manipatruni Casimir Wierzynski A. Khosrowshahi M. DeWeese 35 128 0 13 Dec 2019
On Generalization Bounds of a Family of Recurrent Neural Networks Minshuo Chen Xingguo Li T. Zhao 19 70 0 28 Oct 2019
Backpropagation Algorithms and Reservoir Computing in Recurrent Neural Networks for the Forecasting of Complex Spatiotemporal Dynamics Pantelis R. Vlachas Jaideep Pathak Brian R. Hunt T. Sapsis M. Girvan Edward Ott Petros Koumoutsakos AI4TS 21 384 0 09 Oct 2019
Symplectic Recurrent Neural Networks Zhengdao Chen Jianyu Zhang Martín Arjovsky Léon Bottou 152 221 0 29 Sep 2019
Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks Yi Tay Aston Zhang Anh Tuan Luu J. Rao Shuai Zhang Shuohang Wang Jie Fu S. Hui 23 55 0 11 Jun 2019
Compressing RNNs for IoT devices by 15-38x using Kronecker Products Urmish Thakker Jesse G. Beu Dibakar Gope Chu Zhou Igor Fedorov Ganesh S. Dasika Matthew Mattina 27 36 0 07 Jun 2019
Improved memory in recurrent neural networks with sequential non-normal dynamics A. Orhan Xaq Pitkow 16 13 0 31 May 2019
Improving Minimal Gated Unit for Sequential Data Kazuki Takamura S. Yamane 24 0 0 21 May 2019
Adaptively Truncating Backpropagation Through Time to Control Gradient Bias Christopher Aicher N. Foti E. Fox MQ 30 32 0 17 May 2019
Orthogonal Deep Neural Networks Kui Jia Shuai Li Yuxin Wen Tongliang Liu Dacheng Tao 36 132 0 15 May 2019
Parameter Efficient Training of Deep Convolutional Neural Networks by Dynamic Sparse Reparameterization Hesham Mostafa Xin Wang 37 307 0 15 Feb 2019
Learning to Adaptively Scale Recurrent Neural Networks Hao Hu Liqiang Wang Guo-Jun Qi AI4CE 23 9 0 15 Feb 2019
Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group Mario Lezcano Casado David Martínez-Rubio 27 194 0 24 Jan 2019
Hamiltonian Monte-Carlo for Orthogonal Matrices V. Yanush D. Kropotov 19 1 0 23 Jan 2019