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Unitary Evolution Recurrent Neural Networks

20 November 2015

Papers citing "Unitary Evolution Recurrent Neural Networks"

50 / 403 papers shown

Title
Bidirectional Long-Range Parser for Sequential Data Understanding George Leotescu Daniel Voinea A. Popa 84 1 0 08 Apr 2024
Temporally-Consistent Koopman Autoencoders for Forecasting Dynamical Systems I. Nayak Debdipta Goswami Mrinal Kumar Fernando L. Teixeira Debdipta Goswami 73 5 0 19 Mar 2024
Graph Unitary Message Passing Haiquan Qiu Yatao Bian Quanming Yao 83 2 0 17 Mar 2024
$V_kD:$ Improving Knowledge Distillation using Orthogonal Projections Roy Miles Ismail Elezi Jiankang Deng 112 10 0 10 Mar 2024
Hidden Traveling Waves bind Working Memory Variables in Recurrent Neural Networks Arjun Karuvally T. Sejnowski H. Siegelmann 43 3 0 15 Feb 2024
Quantized Approximately Orthogonal Recurrent Neural Networks Armand Foucault Franck Mamalet Franccois Malgouyres MQ 89 1 0 05 Feb 2024
Positional Encoding Helps Recurrent Neural Networks Handle a Large Vocabulary Takashi Morita 85 3 0 31 Jan 2024
Transformers are Multi-State RNNs Matanel Oren Michael Hassid Nir Yarden Yossi Adi Roy Schwartz OffRL 91 46 0 11 Jan 2024
Gradient Flossing: Improving Gradient Descent through Dynamic Control of Jacobians Rainer Engelken 76 6 0 28 Dec 2023
Algebraic Positional Encodings Konstantinos Kogkalidis Jean-Philippe Bernardy Vikas Garg 34 3 0 26 Dec 2023
Spectral State Space Models Naman Agarwal Daniel Suo Xinyi Chen Elad Hazan 63 12 0 11 Dec 2023
Complex-valued Neural Networks -- Theory and Analysis Rayyan Abdalla 47 2 0 11 Dec 2023
Convergence Analysis for Learning Orthonormal Deep Linear Neural Networks Zhen Qin Xuwei Tan Zhihui Zhu 102 1 0 24 Nov 2023
An NMF-Based Building Block for Interpretable Neural Networks With Continual Learning Brian K. Vogel 38 0 0 20 Nov 2023
Hierarchically Gated Recurrent Neural Network for Sequence Modeling Zhen Qin Aaron Courville Yiran Zhong 90 80 0 08 Nov 2023
Course Correcting Koopman Representations Mahan Fathi Clement Gehring Jonathan Pilault David Kanaa Pierre-Luc Bacon Ross Goroshin 77 1 0 23 Oct 2023
CoNO: Complex Neural Operator for Continuous Dynamical Systems Karn Tiwari N. M. A. Krishnan P. PrathoshA 85 2 0 03 Oct 2023
Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion Alexandru Meterez Amir Joudaki Francesco Orabona Alexander Immer Gunnar Rätsch Hadi Daneshmand 71 8 0 03 Oct 2023
Robustifying State-space Models for Long Sequences via Approximate Diagonalization Annan Yu Arnur Nigmetov Dmitriy Morozov Michael W. Mahoney N. Benjamin Erichson 72 14 0 02 Oct 2023
Emerging Approaches for THz Array Imaging: A Tutorial Review and Software Tool Josiah W. Smith Murat Torlak 78 1 0 16 Sep 2023
Complex-Valued Neural Networks for Data-Driven Signal Processing and Signal Understanding Josiah W. Smith 49 9 0 14 Sep 2023
Traveling Waves Encode the Recent Past and Enhance Sequence Learning Thomas Anderson Keller L. Muller T. Sejnowski Max Welling AI4TS 62 14 0 03 Sep 2023
Unleashing the Potential of Spiking Neural Networks for Sequential Modeling with Contextual Embedding Xinyi Chen Jibin Wu Huajin Tang Qinyuan Ren Kay Chen Tan 76 4 0 29 Aug 2023
TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling Shimin Zhang Qu Yang Chenxiang Ma Jibin Wu Haizhou Li Kay Chen Tan 75 19 0 25 Aug 2023
Persistent learning signals and working memory without continuous attractors Il Memming Park Ábel Ságodi Piotr Sokól 93 9 0 24 Aug 2023
Stabilizing RNN Gradients through Pre-training Luca Herranz-Celotti Jean Rouat 107 1 0 23 Aug 2023
Neural oscillators for generalization of physics-informed machine learning Taniya Kapoor Abhishek Chandra D. Tartakovsky Hongrui Wang Alfredo Núñez R. Dollevoet AI4CE 71 12 0 17 Aug 2023
Get the Best of Both Worlds: Improving Accuracy and Transferability by Grassmann Class Representation Haoqi Wang Zhizhong Li Wayne Zhang 52 4 0 03 Aug 2023
Dynamic Analysis and an Eigen Initializer for Recurrent Neural Networks Ran Dou José C. Príncipe 55 2 0 28 Jul 2023
Fading memory as inductive bias in residual recurrent networks I. Dubinin Felix Effenberger 70 4 0 27 Jul 2023
Improve Long-term Memory Learning Through Rescaling the Error Temporally Shida Wang Zhanglu Yan 76 1 0 21 Jul 2023
Quaternion Convolutional Neural Networks: Current Advances and Future Directions Gerardo Altamirano-Gomez C. Gershenson 93 5 0 17 Jul 2023
Long Short-term Memory with Two-Compartment Spiking Neuron Shimin Zhang Qu Yang Chenxiang Ma Jibin Wu Haizhou Li Kay Chen Tan 54 7 0 14 Jul 2023
Self-Supervised Learning with Lie Symmetries for Partial Differential Equations Grégoire Mialon Q. Garrido Hannah Lawrence Danyal Rehman Yann LeCun B. Kiani SSL 105 26 0 11 Jul 2023
The Deep Arbitrary Polynomial Chaos Neural Network or how Deep Artificial Neural Networks could benefit from Data-Driven Homogeneous Chaos Theory S. Oladyshkin T. Praditia Ilja Kroker F. Mohammadi Wolfgang Nowak S. Otte AI4CE 43 5 0 26 Jun 2023
Efficient Dynamics Modeling in Interactive Environments with Koopman Theory Arnab Kumar Mondal Siba Smarak Panigrahi Sai Rajeswar K. Siddiqi Siamak Ravanbakhsh 65 3 0 20 Jun 2023
Non-contact Sensing for Anomaly Detection in Wind Turbine Blades: A focus-SVDD with Complex-Valued Auto-Encoder Approach Gaëtan Frusque D. Mitchell J. Blanche David Flynn Olga Fink 111 11 0 19 Jun 2023
Towards Better Orthogonality Regularization with Disentangled Norm in Training Deep CNNs Changhao Wu Shenan Zhang Fangsong Long Ziliang Yin Tuo Leng 20 1 0 16 Jun 2023
Stabilized Neural Differential Equations for Learning Dynamics with Explicit Constraints Alistair J R White Niki Kilbertus Maximilian Gelbrecht Niklas Boers 68 7 0 16 Jun 2023
Generalized Teacher Forcing for Learning Chaotic Dynamics Florian Hess Zahra Monfared Manuela Brenner Daniel Durstewitz AI4CE 257 36 0 07 Jun 2023
Robust low-rank training via approximate orthonormal constraints Dayana Savostianova Emanuele Zangrando Gianluca Ceruti Francesco Tudisco 61 10 0 02 Jun 2023
Improved Financial Forecasting via Quantum Machine Learning Sohum Thakkar Skander Kazdaghli Natansh Mathur Iordanis Kerenidis A. J. Ferreira-Martins Samurai Brito QC Ware Corp AIFin 48 26 0 31 May 2023
Universal approximation with complex-valued deep narrow neural networks Paul Geuchen Thomas Jahn Hannes Matt 45 3 0 26 May 2023
Adaptive-saturated RNN: Remember more with less instability Khoi Minh Nguyen-Duy Quang Pham B. T. Nguyen ODL 40 1 0 24 Apr 2023
Recurrent Neural Networks and Long Short-Term Memory Networks: Tutorial and Survey Benyamin Ghojogh A. Ghodsi ODL 51 24 0 22 Apr 2023
Optimum Output Long Short-Term Memory Cell for High-Frequency Trading Forecasting Adamantios Ntakaris Moncef Gabbouj Juho Kanniainen AI4TS 46 0 0 17 Apr 2023
T-FFTRadNet: Object Detection with Swin Vision Transformers from Raw ADC Radar Signals James Giroux M. Bouchard R. Laganière 63 18 0 29 Mar 2023
Infeasible Deterministic, Stochastic, and Variance-Reduction Algorithms for Optimization under Orthogonality Constraints Pierre Ablin Simon Vary Bin Gao P.-A. Absil 59 10 0 29 Mar 2023
A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need? Chaoning Zhang Chenshuang Zhang Sheng Zheng Yu Qiao Chenghao Li ... Lik-Hang Lee Yang Yang Heng Tao Shen In So Kweon Choong Seon Hong 183 170 0 21 Mar 2023
Orthogonal Directions Constrained Gradient Method: from non-linear equality constraints to Stiefel manifold S. Schechtman D. Tiapkin Michael Muehlebach Eric Moulines 64 8 0 16 Mar 2023