Dilated Recurrent Neural Networks

5 October 2017

Thomas S. Huang

Papers citing "Dilated Recurrent Neural Networks"

50 / 115 papers shown

Title
STEP: A Unified Spiking Transformer Evaluation Platform for Fair and Reproducible Benchmarking Sicheng Shen Dongcheng Zhao Linghao Feng Zeyang Yue Jindong Li Tenglong Li Guobin Shen Yi Zeng 24 0 0 16 May 2025
ModelRadar: Aspect-based Forecast Evaluation Vítor Cerqueira Luis Roque Carlos Soares 61 0 0 31 Mar 2025
Lattice Protein Folding with Variational Annealing Shoummo Ahsan Khandoker E. Inack Mohamed Hibat-Allah AI4CE 46 0 0 28 Feb 2025
PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting Yuxin Jia Youfang Lin Jing Yu Shuo Wang Tianhao Liu Huaiyu Wan AI4TS 37 1 0 26 Sep 2024
Time Series Foundation Models and Deep Learning Architectures for Earthquake Temporal and Spatial Nowcasting Alireza Jafari Geoffrey Fox John B. Rundle A. Donnellan L. G. Ludwig AI4TS AI4CE 33 2 0 21 Aug 2024
Listen and Move: Improving GANs Coherency in Agnostic Sound-to-Video Generation Rafael Redondo 37 0 0 23 Jun 2024
Large Language Models are Zero-Shot Next Location Predictors Ciro Beneduce Bruno Lepri Massimiliano Luca 41 8 0 31 May 2024
Concrete Dense Network for Long-Sequence Time Series Clustering Redemptor Jr Laceda Taloma Patrizio Pisani Danilo Comminiello AI4TS 47 0 0 08 May 2024
Graph Expansion in Pruned Recurrent Neural Network Layers Preserve Performance Suryam Arnav Kalra Arindam Biswas Pabitra Mitra Biswajit Basu GNN 46 0 0 17 Mar 2024
Leveraging Non-Decimated Wavelet Packet Features and Transformer Models for Time Series Forecasting G. P. Nason James L. Wei AI4TS 37 1 0 13 Mar 2024
Parallelized Spatiotemporal Binding Gautam Singh Yue Wang Jiawei Yang Boris Ivanovic Sungjin Ahn Marco Pavone Tong Che 48 1 0 26 Feb 2024
Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling Ivan Marisca Cesare Alippi F. Bianchi AI4TS 40 8 0 16 Feb 2024
Quantized Approximately Orthogonal Recurrent Neural Networks Armand Foucault Franck Mamalet Franccois Malgouyres MQ 31 1 0 05 Feb 2024
Positional Encoding Helps Recurrent Neural Networks Handle a Large Vocabulary Takashi Morita 21 3 0 31 Jan 2024
$HyperZ$\cdot$Z$\cdot$W Operator Connects Slow-Fast Networks for Full Context Interaction$ HyperZ $\cdot$ Z $\cdot$ W Operator Connects Slow-Fast Networks for Full Context Interaction Harvie Zhang 39 0 0 31 Jan 2024
SutraNets: Sub-series Autoregressive Networks for Long-Sequence, Probabilistic Forecasting Shane Bergsma Timothy J. Zeyl Lei Guo AI4TS 38 3 0 22 Dec 2023
Hierarchically Gated Recurrent Neural Network for Sequence Modeling Zhen Qin Aaron Courville Yiran Zhong 36 74 0 08 Nov 2023
A Systematic Review for Transformer-based Long-term Series Forecasting Liyilei Su Xumin Zuo Rui Li Xin Wang Heng Zhao Bingding Huang AI4TS 42 4 0 31 Oct 2023
The Safety Challenges of Deep Learning in Real-World Type 1 Diabetes Management Harry Emerson Ryan McConville Matt Guy 38 0 0 23 Oct 2023
Text Analysis Using Deep Neural Networks in Digital Humanities and Information Science Omri Suissa Avshalom Elmalech M. Zhitomirsky-Geffet AI4CE 9 45 0 30 Jul 2023
Improving the Transferability of Time Series Forecasting with Decomposition Adaptation Yan-hong Gao Yan Wang Qiang Wang AI4TS 26 0 0 30 Jun 2023
SMPConv: Self-moving Point Representations for Continuous Convolution Sanghyeon Kim Eunbyung Park 3DPC 42 13 0 05 Apr 2023
Discovering Predictable Latent Factors for Time Series Forecasting Jingyi Hou Zhen Dong Jiayu Zhou Zhijie Liu AI4TS BDL 30 1 0 18 Mar 2023
Unsupervised Deep Learning for IoT Time Series Ya Liu Ying Zhou Kai Yang Xiao Wang AI4TS 39 33 0 07 Feb 2023
Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement Y. Li Xin-xin Lu Yaqing Wang De-Yu Dou DiffM AI4TS 22 99 0 08 Jan 2023
Deep Temporal Contrastive Clustering Ying Zhong Dong Huang Chang-Dong Wang AI4TS 31 12 0 29 Dec 2022
Dissecting Transformer Length Extrapolation via the Lens of Receptive Field Analysis Ta-Chung Chi Ting-Han Fan Alexander I. Rudnicky Peter J. Ramadge 36 40 0 20 Dec 2022
State-Regularized Recurrent Neural Networks to Extract Automata and Explain Predictions Cheng Wang Carolin (Haas) Lawrence Mathias Niepert 21 3 0 10 Dec 2022
Gated Recurrent Neural Networks with Weighted Time-Delay Feedback N. Benjamin Erichson S. H. Lim Michael W. Mahoney 26 6 0 01 Dec 2022
Deep Learning for Time Series Anomaly Detection: A Survey Zahra Zamanzadeh Darban G. I. Webb Shirui Pan Charu C. Aggarwal Mahsa Salehi AI4TS 39 129 0 09 Nov 2022
SpectraNet: Multivariate Forecasting and Imputation under Distribution Shifts and Missing Data Cristian Challu Peihong Jiang Y. Wu Laurent Callot AI4TS 19 1 0 22 Oct 2022
Random orthogonal additive filters: a solution to the vanishing/exploding gradient of deep neural networks Andrea Ceni ODL 25 3 0 03 Oct 2022
Unsupervised Model Selection for Time-series Anomaly Detection Mononito Goswami Cristian Challu Laurent Callot Lenon Minorics Andrey Kan OOD 27 19 0 03 Oct 2022
Liquid Structural State-Space Models Ramin Hasani Mathias Lechner Tsun-Hsuan Wang Makram Chahine Alexander Amini Daniela Rus AI4TS 107 96 0 26 Sep 2022
Persistence Initialization: A novel adaptation of the Transformer architecture for Time Series Forecasting Espen Haugsdal Erlend Aune M. Ruocco AI4TS AI4CE 27 14 0 30 Aug 2022
Comparison and Analysis of New Curriculum Criteria for End-to-End ASR Georgios Karakasidis Tamás Grósz M. Kurimo 22 2 0 10 Aug 2022
Supplementing Recurrent Neural Networks with Annealing to Solve Combinatorial Optimization Problems Shoummo Ahsan Khandoker Jawaril Munshad Abedin Mohamed Hibat-Allah 18 8 0 17 Jul 2022
Towards a General Purpose CNN for Long Range Dependencies in $N$ D David W. Romero David M. Knigge Albert Gu Erik J. Bekkers E. Gavves Jakub M. Tomczak Mark Hoogendoorn 24 19 0 07 Jun 2022
Path Development Network with Finite-dimensional Lie Group Representation Han Lou Siran Li Hao Ni 18 7 0 02 Apr 2022
Recurrent Neural Networks for Forecasting Time Series with Multiple Seasonality: A Comparative Study Grzegorz Dudek Slawek Smyl Paweł Pełka AI4TS 26 1 0 17 Mar 2022
Evaluating State of the Art, Forecasting Ensembles- and Meta-learning Strategies for Model Fusion Pieter Cawood Terence L van Zyl AI4TS 16 12 0 07 Mar 2022
Trajectory Test-Train Overlap in Next-Location Prediction Datasets Massimiliano Luca Luca Pappalardo Bruno Lepri Gianni Barlacchi 30 5 0 07 Mar 2022
N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting Cristian Challu Kin G. Olivares Boris N. Oreshkin Federico Garza Max Mergenthaler-Canseco A. Dubrawski AI4TS 34 262 0 30 Jan 2022
Time-Series Anomaly Detection with Implicit Neural Representation Kyeong-Joong Jeong Yong-Min Shin BDL AI4TS 49 15 0 28 Jan 2022
Scale-Aware Neural Architecture Search for Multivariate Time Series Forecasting Donghui Chen Ling-Hao Chen Zongjiang Shang Youdong Zhang Bo Wen Chenghu Yang AI4TS 38 7 0 14 Dec 2021
Neural Multi-Quantile Forecasting for Optimal Inventory Management Federico Garza Ramírez 17 1 0 10 Dec 2021
ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load Forecasting Slawek Smyl Grzegorz Dudek Paweł Pełka AI4TS 19 25 0 05 Dec 2021
Efficiently Modeling Long Sequences with Structured State Spaces Albert Gu Karan Goel Christopher Ré 52 1,673 0 31 Oct 2021
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers Albert Gu Isys Johnson Karan Goel Khaled Kamal Saab Tri Dao Atri Rudra Christopher Ré 54 553 0 26 Oct 2021
Recurrence along Depth: Deep Convolutional Neural Networks with Recurrent Layer Aggregation Jingyu Zhao Yanwen Fang Guodong Li 21 23 0 22 Oct 2021