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Unitary Evolution Recurrent Neural Networks

20 November 2015

Papers citing "Unitary Evolution Recurrent Neural Networks"

50 / 403 papers shown

Title
Resurrecting Recurrent Neural Networks for Long Sequences Antonio Orvieto Samuel L. Smith Albert Gu Anushan Fernando Çağlar Gülçehre Razvan Pascanu Soham De 339 298 0 11 Mar 2023
Anamnesic Neural Differential Equations with Orthogonal Polynomial Projections E. Brouwer Rahul G. Krishnan AI4TS 74 1 0 03 Mar 2023
Complex Clipping for Improved Generalization in Machine Learning L. Atlas Nicholas Rasmussen Felix Schwock Mert Pilanci 32 0 0 27 Feb 2023
Adapting Pre-trained Language Models for Quantum Natural Language Processing Qiuchi Li Benyou Wang Yudong Zhu Christina Lioma Qun Liu AI4CE 79 4 0 24 Feb 2023
Stabilising and accelerating light gated recurrent units for automatic speech recognition Adel Moumen Titouan Parcollet 57 3 0 16 Feb 2023
Theory and Implementation of Complex-Valued Neural Networks J. A. Barrachina Chengfang Ren G. Vieillard C. Morisseau J. Ovarlez 47 11 0 16 Feb 2023
A Survey of Geometric Optimization for Deep Learning: From Euclidean Space to Riemannian Manifold Yanhong Fei Xian Wei Yingjie Liu Zhengyu Li Mingsong Chen 93 6 0 16 Feb 2023
Convolutional unitary or orthogonal recurrent neural networks M. Magnasco 58 2 0 14 Feb 2023
Deep Axial Hypercomplex Networks Nazmul Shahadat Anthony Maida 32 1 0 11 Jan 2023
Eigenvalue initialisation and regularisation for Koopman autoencoders Jack W. Miller Charles OÑeill N. Constantinou Omri Azencot 55 2 0 23 Dec 2022
State-Regularized Recurrent Neural Networks to Extract Automata and Explain Predictions Cheng Wang Carolin (Haas) Lawrence Mathias Niepert 64 3 0 10 Dec 2022
Gated Recurrent Neural Networks with Weighted Time-Delay Feedback N. Benjamin Erichson Soon Hoe Lim Michael W. Mahoney 84 6 0 01 Dec 2022
Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models Siyi Tang Jared A. Dunnmon Liangqiong Qu Khaled Kamal Saab T. Baykaner Christopher Lee-Messer D. Rubin 71 24 0 21 Nov 2022
On the biological plausibility of orthogonal initialisation for solving gradient instability in deep neural networks Nikolay Manchev Michael W. Spratling ODL 14 1 0 27 Oct 2022
Towards Energy-Efficient, Low-Latency and Accurate Spiking LSTMs Gourav Datta Haoqing Deng R. Aviles Peter A. Beerel 145 11 0 23 Oct 2022
Safe Planning in Dynamic Environments using Conformal Prediction Lars Lindemann Matthew Cleaveland Gihyun Shim George J. Pappas 190 125 0 19 Oct 2022
Flipped Classroom: Effective Teaching for Time Series Forecasting P. Teutsch Patrick Mäder AI4TS 56 8 0 17 Oct 2022
Homotopy-based training of NeuralODEs for accurate dynamics discovery Joon-Hyuk Ko Hankyul Koh Nojun Park W. Jhe 119 9 0 04 Oct 2022
Fast Saturating Gate for Learning Long Time Scales with Recurrent Neural Networks Kentaro Ohno Sekitoshi Kanai Yasutoshi Ida 49 0 0 04 Oct 2022
Random orthogonal additive filters: a solution to the vanishing/exploding gradient of deep neural networks Andrea Ceni ODL 47 3 0 03 Oct 2022
NCVX: A General-Purpose Optimization Solver for Constrained Machine and Deep Learning Buyun Liang Tim Mitchell Ju Sun OOD 100 7 0 03 Oct 2022
Efficient LSTM Training with Eligibility Traces Mitchell L. Hoyer Shahram Eivazi S. Otte 18 1 0 30 Sep 2022
In Search of Projectively Equivariant Networks Georg Bökman Axel Flinth Fredrik Kahl 77 0 0 29 Sep 2022
How important are activation functions in regression and classification? A survey, performance comparison, and future directions Ameya Dilip Jagtap George Karniadakis AI4CE 99 74 0 06 Sep 2022
A Variance-Reduced Stochastic Gradient Tracking Algorithm for Decentralized Optimization with Orthogonality Constraints Lei Wang Xin Liu 121 8 0 29 Aug 2022
Orthogonal Gated Recurrent Unit with Neumann-Cayley Transformation Edison Mucllari Vasily Zadorozhnyy Cole Pospisil D. Nguyen Qiang Ye 48 4 0 12 Aug 2022
Assessing the Unitary RNN as an End-to-End Compositional Model of Syntax Jean-Philippe Bernardy Shalom Lappin 83 1 0 11 Aug 2022
Towards Antisymmetric Neural Ansatz Separation Aaron Zweig Joan Bruna 54 4 0 05 Aug 2022
Explain My Surprise: Learning Efficient Long-Term Memory by Predicting Uncertain Outcomes A. Sorokin N. Buzun Leonid Pugachev Andrey Kravchenko 157 8 0 27 Jul 2022
Riemannian Stochastic Gradient Method for Nested Composition Optimization Dewei Zhang S. Tajbakhsh 78 1 0 19 Jul 2022
Rapid training of quantum recurrent neural networks M. Siemaszko A. Buraczewski Bertrand Le Saux Magdalena Stobiñska 70 9 0 01 Jul 2022
Adversarial Audio Synthesis with Complex-valued Polynomial Networks Yongtao Wu Grigorios G. Chrysos Volkan Cevher DiffM 131 4 0 14 Jun 2022
Entangled Residual Mappings Mathias Lechner Ramin Hasani Z. Babaiee Radu Grosu Daniela Rus T. Henzinger Sepp Hochreiter 70 5 0 02 Jun 2022
Machine Learning for Microcontroller-Class Hardware: A Review Swapnil Sayan Saha S. Sandha Mani B. Srivastava 72 125 0 29 May 2022
Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport Lingkai Kong Yuqing Wang Molei Tao ODL 58 9 0 27 May 2022
Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNs Fanchen Bu D. Chang 58 6 0 12 May 2022
Path Development Network with Finite-dimensional Lie Group Representation Han Lou Siran Li Hao Ni 120 8 0 02 Apr 2022
Classification of NEQR Processed Classical Images using Quantum Neural Networks (QNN) Santanu Ganguly 34 1 0 29 Mar 2022
Geometry-Aware Supertagging with Heterogeneous Dynamic Convolutions Konstantinos Kogkalidis M. Moortgat 46 9 0 23 Mar 2022
The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy Tianlong Chen Zhenyu Zhang Yu Cheng Ahmed Hassan Awadallah Zhangyang Wang ViT 106 42 0 12 Mar 2022
projUNN: efficient method for training deep networks with unitary matrices B. Kiani Randall Balestriero Yann LeCun S. Lloyd 102 32 0 10 Mar 2022
A photonic chip-based machine learning approach for the prediction of molecular properties Hui Zhang Jonathan Wei Zhong Lau Lingxiao Wan Liang Shi H. Cai Xianshu Luo Guo-qiang Lo Chee-Kong Lee L. Kwek Ajian Liu 67 10 0 03 Mar 2022
Optimal quantum dataset for learning a unitary transformation Zhan Yu Xuanqiang Zhao Benchi Zhao Xin Wang 58 9 0 01 Mar 2022
Activation Functions: Dive into an optimal activation function V. Bansal FAtt 52 2 0 24 Feb 2022
O-ViT: Orthogonal Vision Transformer Yanhong Fei Yingjie Liu Xian Wei Mingsong Chen ViT 57 9 0 28 Jan 2022
Recency Dropout for Recurrent Recommender Systems Bo-Yu Chang Can Xu Matt Le Jingchen Feng Ya Le Sriraj Badam Ed H. Chi Minmin Chen 46 3 0 26 Jan 2022
Decentralized Optimization Over the Stiefel Manifold by an Approximate Augmented Lagrangian Function Lei Wang Xin Liu 49 26 0 30 Dec 2021
Distributed neural network control with dependability guarantees: a compositional port-Hamiltonian approach Luca Furieri C. Galimberti M. Zakwan Giancarlo Ferrari-Trecate 79 21 0 16 Dec 2021
Stable Long-Term Recurrent Video Super-Resolution Benjamin Naoto Chiche Arnaud Woiselle J. Frontera-Pons Jean-Luc Starck SupR 59 6 0 16 Dec 2021
Spectral Complexity-scaled Generalization Bound of Complex-valued Neural Networks Haowen Chen Fengxiang He Shiye Lei Dacheng Tao 25 0 0 07 Dec 2021