Recent Advances in Recurrent Neural Networks

29 December 2017

Papers citing "Recent Advances in Recurrent Neural Networks"

35 / 35 papers shown

Title
Shape Modeling of Longitudinal Medical Images: From Diffeomorphic Metric Mapping to Deep Learning Edwin Tay Nazli Tümer Amir A. Zadpoor MedIm 52 0 0 27 Mar 2025
Longitudinal Abuse and Sentiment Analysis of Hollywood Movie Dialogues using LLMs Rohitash Chandra Guoxiang Ren G. Houseman 46 0 0 20 Jan 2025
Deep Learning on Hester Davis Scores for Inpatient Fall Prediction Hojjat Salehinejad Ricky Rojas Kingsley Iheasirim Mohammed Yousufuddin Bijan Borah 39 0 0 11 Jan 2025
Learning state and proposal dynamics in state-space models using differentiable particle filters and neural networks Benjamin Cox Santiago Segarra Victor Elvira 78 0 0 23 Nov 2024
Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability Kunpeng Xu Lifei Chen Shengrui Wang AI4TS 24 53 0 04 Jun 2024
Impact of white Gaussian internal noise on analog echo-state neural networks Nadezhda Semenova 28 2 0 13 May 2024
Rethinking the Relationship between Recurrent and Non-Recurrent Neural Networks: A Study in Sparsity Quincy Hershey Randy Paffenroth Harsh Nilesh Pathak Simon Tavener 66 1 0 01 Apr 2024
Hypertension Detection From High-Dimensional Representation of Photoplethysmogram Signals Navid Hasanzadeh S. Valaee Hojjat Salehinejad 34 4 0 31 Jul 2023
Leveraging arbitrary mobile sensor trajectories with shallow recurrent decoder networks for full-state reconstruction Megan R. Ebers Jan P. Williams K. Steele J. Nathan Kutz HAI 21 9 0 20 Jul 2023
Estimation and Early Prediction of Grip Force Based on sEMG Signals and Deep Recurrent Neural Networks A. Ghorbani Siavashani A. Yousefi-Koma A. Vedadi 14 7 0 19 Feb 2023
A Mathematical Framework for Learning Probability Distributions Hongkang Yang 26 7 0 22 Dec 2022
Decomposing a Recurrent Neural Network into Modules for Enabling Reusability and Replacement S. Imtiaz Fraol Batole Astha Singh Rangeet Pan Breno Dantas Cruz Hridesh Rajan 18 7 0 09 Dec 2022
Predicting Human Mobility via Self-supervised Disentanglement Learning Qiang Gao Jinyung Hong Xovee Xu Ping Kuang Fan Zhou Goce Trajcevski 18 12 0 17 Nov 2022
Reservoir Computing via Quantum Recurrent Neural Networks Samuel Yen-Chi Chen D. Fry Amol Deshmukh V. Rastunkov Charlee Stefanski 21 16 0 04 Nov 2022
GM-TCNet: Gated Multi-scale Temporal Convolutional Network using Emotion Causality for Speech Emotion Recognition Jiaxin Ye Xin-Cheng Wen Xinyu Wang Yong Xu Yan Luo Chang-Li Wu Liyan Chen Kunhong Liu 16 35 0 28 Oct 2022
Rapid training of quantum recurrent neural networks M. Siemaszko A. Buraczewski Bertrand Le Saux Magdalena Stobiñska 24 9 0 01 Jul 2022
PAVI: Plate-Amortized Variational Inference Louis Rouillard Thomas Moreau Demian Wassermann 25 1 0 10 Jun 2022
A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic Barbara Z Cunha C. Droz A. Zine Stéphane Foulard M. Ichchou AI4CE 32 84 0 13 Apr 2022
Vau da muntanialas: Energy-efficient multi-die scalable acceleration of RNN inference G. Paulin Francesco Conti Lukas Cavigelli Luca Benini 24 8 0 14 Feb 2022
Stability Analysis of Recurrent Neural Networks by IQC with Copositive Mutipliers Y. Ebihara Hayato Waki Victor Magron N. Mai D. Peaucelle Sophie Tarbouriech 11 9 0 09 Feb 2022
LiteHAR: Lightweight Human Activity Recognition from WiFi Signals with Random Convolution Kernels Hojjat Salehinejad S. Valaee 6 30 0 23 Jan 2022
Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey Richard Dazeley Peter Vamplew Francisco Cruz 32 59 0 20 Aug 2021
Deep Sequence Modeling: Development and Applications in Asset Pricing Lingbo Cong Ke Tang Jingyuan Wang Yang Zhang 22 15 0 20 Aug 2021
A Survey on Deep Reinforcement Learning for Audio-Based Applications S. Latif Heriberto Cuayáhuitl Farrukh Pervez Fahad Shamshad Hafiz Shehbaz Ali Erik Cambria OffRL 44 73 0 01 Jan 2021
Distillation of Weighted Automata from Recurrent Neural Networks using a Spectral Approach Rémi Eyraud Stéphane Ayache 11 16 0 28 Sep 2020
Deep Neural Network for Respiratory Sound Classification in Wearable Devices Enabled by Patient Specific Model Tuning Jyotibdha Acharya A. Basu 19 157 0 16 Apr 2020
GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation Nikhil Goyal Harsh Jain Sayan Ranu 15 90 0 22 Jan 2020
Survey of Dropout Methods for Deep Neural Networks Alex Labach Hojjat Salehinejad S. Valaee 27 149 0 25 Apr 2019
Ising-Dropout: A Regularization Method for Training and Compression of Deep Neural Networks Hojjat Salehinejad S. Valaee 18 30 0 07 Feb 2019
On the Convergence Rate of Training Recurrent Neural Networks Zeyuan Allen-Zhu Yuanzhi Li Zhao-quan Song 18 191 0 29 Oct 2018
Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network A. Sherstinsky 13 3,595 0 09 Aug 2018
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 239 2,550 0 25 Jan 2016
Recurrent Memory Networks for Language Modeling Ke M. Tran Arianna Bisazza Christof Monz 27 21 0 06 Jan 2016
Depth-Gated LSTM Kaisheng Yao Trevor Cohn Katerina Vylomova Kevin Duh Chris Dyer VLM 22 73 0 16 Aug 2015
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 233 7,904 0 13 Jun 2015