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Unitary Evolution Recurrent Neural Networks

20 November 2015

Papers citing "Unitary Evolution Recurrent Neural Networks"

50 / 403 papers shown

Title
Learning Connectivity with Graph Convolutional Networks for Skeleton-based Action Recognition H. Sahbi GNN 73 28 0 06 Dec 2021
Target Propagation via Regularized Inversion Vincent Roulet Zaïd Harchaoui BDL AAML 91 4 0 02 Dec 2021
Theoretical Exploration of Flexible Transmitter Model Jin-Hui Wu Shao-Qun Zhang Yuan Jiang Zhiping Zhou 63 3 0 11 Nov 2021
ARISE: ApeRIodic SEmi-parametric Process for Efficient Markets without Periodogram and Gaussianity Assumptions Shao-Qun Zhang Zhi Zhou AI4TS 42 3 0 08 Nov 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 79 48 0 07 Nov 2021
Efficiently Modeling Long Sequences with Structured State Spaces Albert Gu Karan Goel Christopher Ré 225 1,841 0 31 Oct 2021
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers Albert Gu Isys Johnson Karan Goel Khaled Kamal Saab Tri Dao Atri Rudra Christopher Ré 132 612 0 26 Oct 2021
On the difficulty of learning chaotic dynamics with RNNs Jonas M. Mikhaeil Zahra Monfared Daniel Durstewitz 125 59 0 14 Oct 2021
How Does Momentum Benefit Deep Neural Networks Architecture Design? A Few Case Studies Bao Wang Hedi Xia T. Nguyen Stanley Osher AI4CE 103 10 0 13 Oct 2021
Heavy Ball Neural Ordinary Differential Equations Hedi Xia Vai Suliafu H. Ji T. Nguyen Andrea L. Bertozzi Stanley J. Osher Bao Wang 87 61 0 10 Oct 2021
Long Expressive Memory for Sequence Modeling T. Konstantin Rusch Siddhartha Mishra N. Benjamin Erichson Michael W. Mahoney AI4TS 244 46 0 10 Oct 2021
Oscillatory Fourier Neural Network: A Compact and Efficient Architecture for Sequential Processing Bing Han Cheng Wang Kaushik Roy 51 7 0 14 Sep 2021
Acceleration Method for Learning Fine-Layered Optical Neural Networks K. Aoyama H. Sawada 52 1 0 01 Sep 2021
Working Memory Connections for LSTM Federico Landi Lorenzo Baraldi Marcella Cornia Rita Cucchiara KELM 74 169 0 31 Aug 2021
Existence, Stability and Scalability of Orthogonal Convolutional Neural Networks El Mehdi Achour Franccois Malgouyres Franck Mamalet 62 21 0 12 Aug 2021
Coordinate descent on the orthogonal group for recurrent neural network training E. Massart V. Abrol 66 11 0 30 Jul 2021
Stock price prediction using BERT and GAN Priyank Sonkiya Vikas Bajpai Anukriti Bansal AIFin 58 39 0 18 Jul 2021
Better Training using Weight-Constrained Stochastic Dynamics Benedict Leimkuhler Tiffany J. Vlaar Timothée Pouchon Amos Storkey 40 9 0 20 Jun 2021
Scaling-up Diverse Orthogonal Convolutional Networks with a Paraunitary Framework Jiahao Su Wonmin Byeon Furong Huang 36 9 0 16 Jun 2021
A Lightweight and Gradient-Stable Neural Layer Yueyao Yu Yin Zhang 87 0 0 08 Jun 2021
Parallelized Computation and Backpropagation Under Angle-Parametrized Orthogonal Matrices F. Hamze 54 1 0 30 May 2021
Least Redundant Gated Recurrent Neural Network Lukasz Neumann Lukasz Lepak Pawel Wawrzyñski BDL 48 1 0 28 May 2021
Hamiltonian Deep Neural Networks Guaranteeing Non-vanishing Gradients by Design C. Galimberti Luca Furieri Liang Xu Giancarlo Ferrari-Trecate 64 33 0 27 May 2021
A Universal Law of Robustness via Isoperimetry Sébastien Bubeck Mark Sellke 55 218 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 68 17 0 12 May 2021
Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity Ryan Henderson Djork-Arné Clevert F. Montanari 91 27 0 11 May 2021
RotLSTM: Rotating Memories in Recurrent Neural Networks Vlad Velici Adam Prugel-Bennett RALM VLM 70 1 0 01 May 2021
Orthogonalizing Convolutional Layers with the Cayley Transform Asher Trockman J. Zico Kolter 92 115 0 14 Apr 2021
Pay attention to your loss: understanding misconceptions about 1-Lipschitz neural networks Louis Bethune Thibaut Boissin M. Serrurier Franck Mamalet Corentin Friedrich Alberto González Sanz 109 23 0 11 Apr 2021
Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modelling Tong Chen Hongzhi Yin Xiangliang Zhang Zi Huang Yang Wang Meng Wang 133 12 0 05 Apr 2021
Parameterized Hypercomplex Graph Neural Networks for Graph Classification Tuan Le Marco Bertolini Frank Noé Djork-Arné Clevert 54 15 0 30 Mar 2021
Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks Bojian Yin Federico Corradi S. Bohté 101 221 0 12 Mar 2021
UnICORNN: A recurrent model for learning very long time dependencies T. Konstantin Rusch Siddhartha Mishra 88 62 0 09 Mar 2021
Learning with Hyperspherical Uniformity Weiyang Liu Rongmei Lin Zhen Liu Li Xiong Bernhard Schölkopf Adrian Weller 114 36 0 02 Mar 2021
Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training Sheng Liu Xiao Li Yuexiang Zhai Chong You Zhihui Zhu C. Fernandez‐Granda Qing Qu 52 26 0 01 Mar 2021
Quantitative approximation results for complex-valued neural networks A. Caragea D. Lee J. Maly G. Pfander F. Voigtlaender 42 6 0 25 Feb 2021
Deep Unitary Convolutional Neural Networks Hao-Yuan Chang Kang L. Wang 39 2 0 23 Feb 2021
A Differential Geometry Perspective on Orthogonal Recurrent Models Omri Azencot N. Benjamin Erichson M. Ben-Chen Michael W. Mahoney AI4CE 41 5 0 18 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 63 9 0 16 Feb 2021
An Operator Theoretic Approach for Analyzing Sequence Neural Networks Ilana D Naiman Omri Azencot 99 11 0 15 Feb 2021
Fast and accurate optimization on the orthogonal manifold without retraction Pierre Ablin Gabriel Peyré 110 30 0 15 Feb 2021
Decentralized Riemannian Gradient Descent on the Stiefel Manifold Shixiang Chen Alfredo García Mingyi Hong Shahin Shahrampour 81 45 0 14 Feb 2021
CKConv: Continuous Kernel Convolution For Sequential Data David W. Romero Anna Kuzina Erik J. Bekkers Jakub M. Tomczak Mark Hoogendoorn 71 126 0 04 Feb 2021
Neural Networks with Complex-Valued Weights Have No Spurious Local Minima Xingtu Liu MLT 41 0 0 31 Jan 2021
A Survey of Complex-Valued Neural Networks J. Bassey Lijun Qian Xianfang Li 85 124 0 28 Jan 2021
On the Local Linear Rate of Consensus on the Stiefel Manifold Shixiang Chen Alfredo García Mingyi Hong Shahin Shahrampour 50 14 0 22 Jan 2021
Implicit Bias of Linear RNNs M Motavali Emami Mojtaba Sahraee-Ardakan Parthe Pandit S. Rangan A. Fletcher 44 11 0 19 Jan 2021
Neural networks behave as hash encoders: An empirical study Fengxiang He Shiye Lei Jianmin Ji Dacheng Tao 41 3 0 14 Jan 2021
MC-LSTM: Mass-Conserving LSTM Pieter-Jan Hoedt Frederik Kratzert D. Klotz Christina Halmich Markus Holzleitner G. Nearing Sepp Hochreiter Günter Klambauer 84 60 0 13 Jan 2021
Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps Tri Dao N. Sohoni Albert Gu Matthew Eichhorn Amit Blonder Megan Leszczynski Atri Rudra Christopher Ré 90 49 0 29 Dec 2020