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1603.09420
Cited By
Minimal Gated Unit for Recurrent Neural Networks
31 March 2016
Guoxiang Zhou
Jianxin Wu
Chen-Da Liu-Zhang
Zhi Zhou
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Papers citing
"Minimal Gated Unit for Recurrent Neural Networks"
50 / 78 papers shown
Unified Implementations of Recurrent Neural Networks in Multiple Deep Learning Frameworks
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Self-Supervised Sparse Sensor Fusion for Long Range Perception
Edoardo Palladin
Samuel Brucker
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Mario Bijelic
Felix Heide
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19 Aug 2025
Adaptive Neural Quantum States: A Recurrent Neural Network Perspective
Jake McNaughton
Mohamed Hibat-Allah
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24 Jul 2025
Sparse Convolutional Recurrent Learning for Efficient Event-based Neuromorphic Object Detection
Shenqi Wang
Yingfu Xu
Amirreza Yousefzadeh
S. Eissa
Henk Corporaal
Federico Corradi
Guangzhi Tang
163
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16 Jun 2025
Self-Supervised Event Representations: Towards Accurate, Real-Time Perception on SoC FPGAs
K. Jeziorek
T. Kryjak
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246
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12 May 2025
Low-Resource Neural Machine Translation Using Recurrent Neural Networks and Transfer Learning: A Case Study on English-to-Igbo
Ocheme Anthony Ekle
Biswarup Das
185
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24 Apr 2025
Minion Gated Recurrent Unit for Continual Learning
Abdullah M. Zyarah
Dhireesha Kudithipudi
486
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0
08 Mar 2025
Gated Slot Attention for Efficient Linear-Time Sequence Modeling
Neural Information Processing Systems (NeurIPS), 2024
Yu Zhang
Aaron Courville
Ruijie Zhu
Yue Zhang
Leyang Cui
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Freda Shi
Bailin Wang
Wei Bi
P. Zhou
Guohong Fu
297
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11 Sep 2024
Recurrent neural network wave functions for Rydberg atom arrays on kagome lattice
Mohamed Hibat-Allah
Ejaaz Merali
G. Torlai
R. Melko
Juan Carrasquilla
301
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0
30 May 2024
Liquid Resistance Liquid Capacitance Networks
Mónika Farsang
Sophie A. Neubauer
Radu Grosu
AI4TS
251
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30 Jan 2024
A Survey of Deep Learning and Foundation Models for Time Series Forecasting
John A. Miller
Mohammed Aldosari
Farah Saeed
Nasid Habib Barna
Subas Rana
I. Arpinar
Ninghao Liu
AI4TS
AI4CE
273
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0
25 Jan 2024
TemporalAugmenter: An Ensemble Recurrent Based Deep Learning Approach for Signal Classification
The Florida AI Research Society (FLAIRS), 2024
Nelly Elsayed
Constantinos L. Zekios
Navid Asadizanjani
Zag ElSayed
185
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0
13 Jan 2024
Learning with Chemical versus Electrical Synapses -- Does it Make a Difference?
IEEE International Conference on Robotics and Automation (ICRA), 2023
Mónika Farsang
Mathias Lechner
David Lung
Ramin Hasani
Daniela Rus
Radu Grosu
101
6
0
21 Nov 2023
Efficient Neural Networks for Tiny Machine Learning: A Comprehensive Review
M. Lê
Pierre Wolinski
Julyan Arbel
268
17
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20 Nov 2023
NoSENSE: Learned unrolled cardiac MRI reconstruction without explicit sensitivity maps
F. Zimmermann
A. Kofler
188
2
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27 Sep 2023
Permutation Invariant Recurrent Neural Networks for Sound Source Tracking Applications
David Diaz-Guerra
Archontis Politis
A. Miguel
J. R. Beltrán
Maria Sandsten
154
1
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14 Jun 2023
Fusing Structure from Motion and Simulation-Augmented Pose Regression from Optical Flow for Challenging Indoor Environments
Journal of Visual Communication and Image Representation (JVCIR), 2023
Felix Ott
Lucas Heublein
David Rügamer
B. Bischl
Christopher Mutschler
442
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0
14 Apr 2023
PixelRNN: In-pixel Recurrent Neural Networks for End-to-end-optimized Perception with Neural Sensors
Computer Vision and Pattern Recognition (CVPR), 2023
Haley M. So
Laurie Bose
Piotr Dudek
Gordon Wetzstein
158
7
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11 Apr 2023
Investigating Topological Order using Recurrent Neural Networks
Physical review B (PRB), 2023
Mohamed Hibat-Allah
R. Melko
Juan Carrasquilla
178
16
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20 Mar 2023
Online Evolutionary Neural Architecture Search for Multivariate Non-Stationary Time Series Forecasting
Applied Soft Computing (Appl. Soft Comput.), 2023
Zimeng Lyu
Alexander Ororbia
Travis J. Desell
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206
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20 Feb 2023
Designing and Training of Lightweight Neural Networks on Edge Devices using Early Halting in Knowledge Distillation
IEEE Transactions on Mobile Computing (IEEE TMC), 2022
Rahul Mishra
Hari Prabhat Gupta
144
15
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30 Sep 2022
Recurrent networks, hidden states and beliefs in partially observable environments
Gaspard Lambrechts
Adrien Bolland
D. Ernst
134
16
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06 Aug 2022
Supplementing Recurrent Neural Network Wave Functions with Symmetry and Annealing to Improve Accuracy
Mohamed Hibat-Allah
R. Melko
Juan Carrasquilla
141
26
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28 Jul 2022
ICE-NODE: Integration of Clinical Embeddings with Neural Ordinary Differential Equations
Machine Learning in Health Care (MLHC), 2022
Asem Alaa
Erik Mayer
Mauricio Barahona
AI4CE
251
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05 Jul 2022
Rapid training of quantum recurrent neural networks
Quantum Machine Intelligence (QMI), 2022
M. Siemaszko
A. Buraczewski
Bertrand Le Saux
Magdalena Stobiñska
257
14
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01 Jul 2022
What is the best RNN-cell structure for forecasting each time series behavior?
Expert systems with applications (ESWA), 2022
Rohaifa Khaldi
A. E. Afia
R. Chiheb
Siham Tabik
AI4TS
76
1
0
15 Mar 2022
ONE-NAS: An Online NeuroEvolution based Neural Architecture Search for Time Series Forecasting
Zimeng Lyu
Travis J. Desell
AI4TS
107
6
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27 Feb 2022
D-Flow: A Real Time Spatial Temporal Model for Target Area Segmentation
Wentao Lu
Claude Sammut
147
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08 Nov 2021
ARISE: ApeRIodic SEmi-parametric Process for Efficient Markets without Periodogram and Gaussianity Assumptions
Shao-Qun Zhang
Zhi Zhou
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175
3
0
08 Nov 2021
Efficient Visual Recognition with Deep Neural Networks: A Survey on Recent Advances and New Directions
Machine Intelligence Research (MIR), 2021
Yang Wu
Dingheng Wang
Xiaotong Lu
Fan Yang
Guoqi Li
Weiming Dong
Jianbo Shi
375
18
0
30 Aug 2021
Gates Are Not What You Need in RNNs
Ronalds Zakovskis
Andis Draguns
Eliza Gaile
Emīls Ozoliņš
Kārlis Freivalds
174
1
0
01 Aug 2021
Warming up recurrent neural networks to maximise reachable multistability greatly improves learning
Neural Networks (NN), 2021
Gaspard Lambrechts
Florent De Geeter
Nicolas Vecoven
D. Ernst
G. Drion
241
5
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02 Jun 2021
An Ultra-low Power RNN Classifier for Always-On Voice Wake-Up Detection Robust to Real-World Scenarios
E. Hardy
F. Badets
86
4
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08 Mar 2021
Advances in Electron Microscopy with Deep Learning
Jeffrey M. Ede
666
3
0
04 Jan 2021
Continuous Ant-Based Neural Topology Search
A. ElSaid
Joshua Karns
Zimeng Lyu
Alexander Ororbia
Travis J. Desell
195
5
0
21 Nov 2020
An Experimental Study of Weight Initialization and Weight Inheritance Effects on Neuroevolution
Zimeng Lyu
A. ElSaid
Joshua Karns
Mohamed Wiem Mkaouer
Travis J. Desell
ODL
223
2
0
21 Sep 2020
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
913
90
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17 Sep 2020
A bio-inspired bistable recurrent cell allows for long-lasting memory
Nicolas Vecoven
D. Ernst
G. Drion
RALM
207
23
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09 Jun 2020
Neuroevolutionary Transfer Learning of Deep Recurrent Neural Networks through Network-Aware Adaptation
A. ElSaid
Joshua Karns
Alexander Ororbia
Daniel E. Krutz
Zimeng Lyu
Travis J. Desell
118
0
0
04 Jun 2020
Learning Various Length Dependence by Dual Recurrent Neural Networks
Neurocomputing (Neurocomputing), 2020
Chenpeng Zhang
Shuai Li
Mao Ye
Ce Zhu
Xue Li
123
9
0
28 May 2020
Improving Neuroevolution Using Island Extinction and Repopulation
Zimeng Lyu
Joshua Karns
A. ElSaid
Travis J. Desell
114
3
0
15 May 2020
Refined Gate: A Simple and Effective Gating Mechanism for Recurrent Units
Zhanzhan Cheng
Yunlu Xu
Mingjian Cheng
Yu Qiao
Shiliang Pu
Yi Niu
Leilei Gan
111
10
0
26 Feb 2020
On Generalization Bounds of a Family of Recurrent Neural Networks
International Conference on Artificial Intelligence and Statistics (AISTATS), 2018
Minshuo Chen
Xingguo Li
T. Zhao
246
78
0
28 Oct 2019
A Bayesian Approach to Recurrence in Neural Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Philip N. Garner
Sibo Tong
BDL
182
8
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24 Oct 2019
Deep Independently Recurrent Neural Network (IndRNN)
Shuai Li
Wanqing Li
Chris Cook
Yanbo Gao
197
53
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11 Oct 2019
The Ant Swarm Neuro-Evolution Procedure for Optimizing Recurrent Networks
A. ElSaid
Alexander Ororbia
Travis J. Desell
ODL
266
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26 Sep 2019
An Empirical Exploration of Deep Recurrent Connections and Memory Cells Using Neuro-Evolution
Travis J. Desell
A. ElSaid
Alexander Ororbia
174
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20 Sep 2019
Patient trajectory prediction in the Mimic-III dataset, challenges and pitfalls
José F. Rodrigues
Gabriel Spadon
Bruno Brandoli
S. Amer-Yahia
225
9
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10 Sep 2019
GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series
Neural Information Processing Systems (NeurIPS), 2019
E. Brouwer
Jaak Simm
Adam Arany
Yves Moreau
SyDa
CML
AI4TS
319
349
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29 May 2019
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