Results 11 to 20 of about 2,625,571 (293)

A Gated Recurrent Unit based Echo State Network

2020 International Joint Conference on Neural Networks (IJCNN), 2020
Wang X, Jin Y, Hao K. A Gated Recurrent Unit based Echo State Network. In: 2020 International Joint Conference on Neural Networks (IJCNN).
Jin, Yaochu ; https://orcid.org/, Hao, Kuangrong, Wang, Xinjie   +2 more
core   +5 more sources

Gated Recurrent Unit for Video Denoising

CoRR, 2022
Current video denoising methods perform temporal fusion by designing convolutional neural networks (CNN) or combine spatial denoising with temporal fusion into basic recurrent neural networks (RNNs).
Choi, Seungwon, Choi, Jongseong, Guo, Kai   +2 more
core   +4 more sources

GAT4Rec: Sequential Recommendation with a Gated Recurrent Unit and Transformers

Mathematics
Capturing long-term dependency from historical behaviors is the key to the success of sequential recommendation; however, existing methods focus on extracting global sequential information while neglecting to obtain deep representations from subsequences.
Huaiwen He, Xiangdong Yang, Feng Huang, Feng Yi, Shangsong Liang   +4 more
doaj   +2 more sources

Dual-Gated Graph Convolutional Recurrent Unit with Integrated Graph Learning (DG3L): A Novel Recurrent Network Architecture with Dynamic Graph Learning for Spatio-Temporal Predictions

Entropy
Spatio-temporal prediction is crucial in intelligent transportation systems (ITS) to enhance operational efficiency and safety. Although Transformer-based models have significantly advanced spatio-temporal prediction performance, recent research ...
Yuxuan Wang, Zhouyuan Zhang, Shu Pi, Haishan Zhang, Jiatian Pi   +4 more
doaj   +2 more sources

Hierarchical Gated Recurrent Unit with Semantic Attention for Event Prediction

Future Internet, 2020
Event prediction plays an important role in financial risk assessment and disaster warning, which can help government decision-making and economic investment.
Zichun Su, Jialin Jiang
doaj   +2 more sources

A Bayesian Interpretation of the Light Gated Recurrent Unit [PDF]

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
We summarise previous work showing that the basic sigmoid activation function arises as an instance of Bayes’s theorem, and that recurrence follows from the prior. We derive a layerwise recurrence without the assumptions of previous work, and show that it leads to a standard recurrence with modest modifications to reflect use of log-probabilities.
Alexandre Bittar, Philip N. Garner
openaire   +3 more sources

On the stability properties of Gated Recurrent Units neural networks [PDF]

Systems & Control Letters, 2021
The goal of this paper is to provide sufficient conditions for guaranteeing the Input-to-State Stability (ISS) and the Incremental Input-to-State Stability (δISS) of Gated Recurrent Units (GRUs) neural networks. These conditions, devised for both single-layer and multi-layer architectures, consist of nonlinear inequalities on network's weights.
Bonassi F., Farina M., Scattolini R.
openaire   +2 more sources

Gate-variants of Gated Recurrent Unit (GRU) neural networks [PDF]

2017 IEEE 60th International Midwest Symposium on Circuits and Systems (MWSCAS), 2017
The paper evaluates three variants of the Gated Recurrent Unit (GRU) in recurrent neural networks (RNN) by reducing parameters in the update and reset gates. We evaluate the three variant GRU models on MNIST and IMDB datasets and show that these GRU-RNN variant models perform as well as the original GRU RNN model while reducing the computational ...
Rahul Dey, Fathi M. Salem
openaire   +3 more sources

Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data [PDF]

, 2021
Remotely sensed soil moisture forecasting through satellite-based sensors to estimate the future state of the underlying soils plays a critical role in planning and managing water resources and sustainable agricultural practices.
Deo, Ravinesh C., Linshan Yang, Ahmed, A. A. Masrur, Ravinesh C Deo, Qi Feng, Afshin Ghahramani, Raj, Nawin, A. A. Masrur Ahmed, Zhenliang Yin, Yin, Zhenliang, Ghahramani, Afshin, Nawin Raj, Feng, Qi, Yang, Linshan   +13 more
core   +1 more source

Light Gated Recurrent Units for Speech Recognition [PDF]

IEEE Transactions on Emerging Topics in Computational Intelligence, 2018
A field that has directly benefited from the recent advances in deep learning is Automatic Speech Recognition (ASR). Despite the great achievements of the past decades, however, a natural and robust human-machine speech interaction still appears to be out of reach, especially in challenging environments characterized by significant noise and ...
Mirco Ravanelli, Philemon Brakel, Maurizio Omologo, Yoshua Bengio   +3 more
openaire   +4 more sources