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Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting

Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting

13 June 2015
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
ArXivPDFHTML

Papers citing "Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting"

50 / 1,919 papers shown
Title
Integrating Weather Station Data and Radar for Precipitation Nowcasting: SmaAt-fUsion and SmaAt-Krige-GNet
Aleksej Cornelissen
Jie Shi
S. Mehrkanoon
43
0
0
22 Feb 2025
Robotic Table Tennis: A Case Study into a High Speed Learning System
Robotic Table Tennis: A Case Study into a High Speed Learning System
David B. DÁmbrosio
Jonathan Abelian
Saminda Abeyruwan
Michael Ahn
Alex Bewley
...
Vikas Sindhwani
Avi Singh
Vincent Vanhoucke
Grace Vesom
Peng-Tao Xu
55
13
0
20 Feb 2025
AAKT: Enhancing Knowledge Tracing with Alternate Autoregressive Modeling
AAKT: Enhancing Knowledge Tracing with Alternate Autoregressive Modeling
Hao Zhou
Wenge Rong
Jianfei Zhang
Qing Sun
Y. Ouyang
Zhang Xiong
AI4Ed
KELM
45
0
0
17 Feb 2025
Deep Spatio-Temporal Neural Network for Air Quality Reanalysis
Deep Spatio-Temporal Neural Network for Air Quality Reanalysis
Ammar Kheder
Benjamin Foreback
Lili Wang
Zhi-Song Liu
Michael Boy
47
0
0
17 Feb 2025
GST-UNet: Spatiotemporal Causal Inference with Time-Varying Confounders
M. Oprescu
David K. Park
Xihaier Luo
Shinjae Yoo
Nathan Kallus
AI4TS
CML
45
0
0
07 Feb 2025
AAD-DCE: An Aggregated Multimodal Attention Mechanism for Early and Late Dynamic Contrast Enhanced Prostate MRI Synthesis
AAD-DCE: An Aggregated Multimodal Attention Mechanism for Early and Late Dynamic Contrast Enhanced Prostate MRI Synthesis
Divya Bharti
Sriprabha Ramanarayanan
S. Sree
Kishore Kumar M
Keerthi Ram
Harsh Agarwal
Ramesh Venkatesan
M. Sivaprakasam
MedIm
60
0
0
04 Feb 2025
FireCastNet: Earth-as-a-Graph for Seasonal Fire Prediction
FireCastNet: Earth-as-a-Graph for Seasonal Fire Prediction
Dimitrios Michail
Charalampos Davalas
Lefki-Ioanna Panagiotou
Ioannis Prapas
Spyros Kondylatos
N. Bountos
Ioannis Papoutsis
40
0
0
03 Feb 2025
MAUCell: An Adaptive Multi-Attention Framework for Video Frame Prediction
MAUCell: An Adaptive Multi-Attention Framework for Video Frame Prediction
Shreyam Gupta
P. Agrawal
Priyam Gupta
67
0
0
28 Jan 2025
Has the Deep Neural Network learned the Stochastic Process? An Evaluation Viewpoint
Has the Deep Neural Network learned the Stochastic Process? An Evaluation Viewpoint
H. Kumar
Beomseok Kang
Biswadeep Chakraborty
Saibal Mukhopadhyay
46
0
0
28 Jan 2025
Parameter-Efficient Fine-Tuning for Foundation Models
Parameter-Efficient Fine-Tuning for Foundation Models
Dan Zhang
Tao Feng
Lilong Xue
Yuandong Wang
Yuxiao Dong
J. Tang
37
7
0
23 Jan 2025
DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting
DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting
Hao Wu
Haomin Wen
Guibin Zhang
Yutong Xia
Kai Wang
Yuxuan Liang
Yu Zheng
Kun Wang
60
2
0
17 Jan 2025
BRIGHT: A globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response
BRIGHT: A globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response
Hongruixuan Chen
Jian Song
Olivier Dietrich
Clifford Broni-Bediako
Weihao Xuan
...
Yimin Wei
J. Xia
Cuiling Lan
Konrad Schindler
Naoto Yokoya
78
5
0
10 Jan 2025
STAHGNet: Modeling Hybrid-grained Heterogenous Dependency Efficiently
  for Traffic Prediction
STAHGNet: Modeling Hybrid-grained Heterogenous Dependency Efficiently for Traffic Prediction
J. Wang
Zehua Peng
Yijia Zhang
Dengbo He
Lei Chen
24
0
0
23 Dec 2024
LISA: Learning-Integrated Space Partitioning Framework for Traffic
  Accident Forecasting on Heterogeneous Spatiotemporal Data
LISA: Learning-Integrated Space Partitioning Framework for Traffic Accident Forecasting on Heterogeneous Spatiotemporal Data
Bang An
Xun Zhou
Amin Vahedian
Nick Street
Jinping Guan
Jun Luo
59
0
0
19 Dec 2024
Joint Perception and Prediction for Autonomous Driving: A Survey
Joint Perception and Prediction for Autonomous Driving: A Survey
Lucas DalĆol
Miguel Oliveira
Vítor M. F. Santos
72
0
0
18 Dec 2024
Evidential Deep Learning for Probabilistic Modelling of Extreme Storm
  Events
Evidential Deep Learning for Probabilistic Modelling of Extreme Storm Events
Ayush Khot
Xihaier Luo
Ai Kagawa
Shinjae Yoo
EDL
BDL
76
0
0
18 Dec 2024
GG-SSMs: Graph-Generating State Space Models
GG-SSMs: Graph-Generating State Space Models
Nikola Zubić
Davide Scaramuzza
Mamba
88
1
0
17 Dec 2024
SE-GCL: An Event-Based Simple and Effective Graph Contrastive Learning
  for Text Representation
SE-GCL: An Event-Based Simple and Effective Graph Contrastive Learning for Text Representation
Tao Meng
Wei Ai
Jianbin Li
Ze Wang
Yuntao Shou
Keqin Li
AI4TS
69
0
0
16 Dec 2024
A comprehensive GeoAI review: Progress, Challenges and Outlooks
A comprehensive GeoAI review: Progress, Challenges and Outlooks
Anasse Boutayeb
Iyad Lahsen-cherif
Ahmed El Khadimi
79
0
0
16 Dec 2024
DSRC: Learning Density-insensitive and Semantic-aware Collaborative Representation against Corruptions
DSRC: Learning Density-insensitive and Semantic-aware Collaborative Representation against Corruptions
Jingyu Zhang
Yilei Wang
Lang Qian
Peng Sun
Zengwen Li
Sudong Jiang
Maolin Liu
Liang Song
93
1
0
14 Dec 2024
Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data
Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data
Yihe Zhang
Bryce Turney
Purushottam Sigdel
Xu Yuan
Eric Rappin
...
Lu Peng
Sercan Aygün
Yazhou Tu
M. H. Najafi
N. Tzeng
62
1
0
11 Dec 2024
Self-Supervised Learning with Probabilistic Density Labeling for
  Rainfall Probability Estimation
Self-Supervised Learning with Probabilistic Density Labeling for Rainfall Probability Estimation
Junha Lee
Sojung An
Sujeong You
Namik Cho
67
0
0
08 Dec 2024
Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised
  Satellite Image Time Series Semantic Segmentation
Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation
Hao Zhu
Yan Zhu
Jiayu Xiao
Tianxiang Xiao
Yike Ma
Yucheng Zhang
Feng Dai
83
0
0
05 Dec 2024
UTSD: Unified Time Series Diffusion Model
UTSD: Unified Time Series Diffusion Model
Xiangkai Ma
Xiaobin Hong
Wenzhong Li
Sanglu Lu
74
0
0
04 Dec 2024
Lightweight Stochastic Video Prediction via Hybrid Warping
Lightweight Stochastic Video Prediction via Hybrid Warping
Kazuki Kotoyori
Shota Hirose
Heming Sun
J. Katto
57
0
0
04 Dec 2024
MPBD-LSTM: A Predictive Model for Colorectal Liver Metastases Using Time
  Series Multi-phase Contrast-Enhanced CT Scans
MPBD-LSTM: A Predictive Model for Colorectal Liver Metastases Using Time Series Multi-phase Contrast-Enhanced CT Scans
Xueyang Li
Han Xiao
Weixiang Weng
Xiaowei Xu
Yiyu Shi
68
0
0
02 Dec 2024
DuoCast: Duo-Probabilistic Meteorology-Aware Model for Extended
  Precipitation Nowcasting
DuoCast: Duo-Probabilistic Meteorology-Aware Model for Extended Precipitation Nowcasting
Penghui Wen
Lei Bai
Mengwei He
Patrick Filippi
Feng Zhang
Thomas Francis Bishop
Zhiyong Wang
Kun Hu
75
0
0
02 Dec 2024
A Wave is Worth 100 Words: Investigating Cross-Domain Transferability in
  Time Series
A Wave is Worth 100 Words: Investigating Cross-Domain Transferability in Time Series
Xiangkai Ma
Xiaobin Hong
Wenzhong Li
Sanglu Lu
AI4TS
62
0
0
01 Dec 2024
Spatio-temporal Causal Learning for Streamflow Forecasting
Spatio-temporal Causal Learning for Streamflow Forecasting
Shu Wan
Reepal Shah
Qi Deng
John Sabo
Huan Liu
K. Selçuk
AI4TS
68
0
0
26 Nov 2024
Quantile deep learning models for multi-step ahead time series
  prediction
Quantile deep learning models for multi-step ahead time series prediction
Jimmy Cheung
Smruthi Rangarajan
Amelia Maddocks
Xizhe Chen
Rohitash Chandra
AI4TS
69
1
0
24 Nov 2024
LightLLM: A Versatile Large Language Model for Predictive Light Sensing
LightLLM: A Versatile Large Language Model for Predictive Light Sensing
J. Hu
Hong Jia
Mahbub Hassan
Lina Yao
Brano Kusy
Wen Hu
66
0
0
20 Nov 2024
Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark
Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark
Bing Cao
Quanhao Lu
Jiekang Feng
Pengfei Zhu
Q. Hu
Qilong Wang
71
0
0
20 Nov 2024
Generative Spatio-temporal GraphNet for Transonic Wing Pressure Distribution Forecasting
Gabriele Immordino
Andrea Vaiuso
A. Ronch
Marcello Righi
AI4CE
72
0
0
18 Nov 2024
Distributed solar generation forecasting using attention-based deep neural networks for cloud movement prediction
M. Perera
J. Hoog
Kasun Bandara
Saman K. Halgamuge
31
0
0
17 Nov 2024
STLight: a Fully Convolutional Approach for Efficient Predictive
  Learning by Spatio-Temporal joint Processing
STLight: a Fully Convolutional Approach for Efficient Predictive Learning by Spatio-Temporal joint Processing
Andrea Alfarano
Alberto Alfarano
Linda Friso
Andrea Bacciu
Irene Amerini
Fabrizio Silvestri
40
0
0
15 Nov 2024
Self-Supervised Radio Pre-training: Toward Foundational Models for
  Spectrogram Learning
Self-Supervised Radio Pre-training: Toward Foundational Models for Spectrogram Learning
Ahmed Aboulfotouh
Ashkan Eshaghbeigi
Dimitrios Karslidis
Hatem Abou-Zeid
SSL
23
1
0
14 Nov 2024
D4W: Dependable Data-Driven Dynamics for Wheeled Robots
D4W: Dependable Data-Driven Dynamics for Wheeled Robots
Yunfeng Lin
Minghuan Liu
Yong Yu
36
0
0
14 Nov 2024
Spatially Constrained Transformer with Efficient Global Relation
  Modelling for Spatio-Temporal Prediction
Spatially Constrained Transformer with Efficient Global Relation Modelling for Spatio-Temporal Prediction
Ashutosh Sao
Simon Gottschalk
AI4TS
29
0
0
11 Nov 2024
LFSamba: Marry SAM with Mamba for Light Field Salient Object Detection
LFSamba: Marry SAM with Mamba for Light Field Salient Object Detection
Zhengyi Liu
Longzhen Wang
Xianyong Fang
Zhengzheng Tu
Linbo Wang
Mamba
33
1
0
11 Nov 2024
Autoregressive Models in Vision: A Survey
Autoregressive Models in Vision: A Survey
Jing Xiong
Gongye Liu
Lun Huang
Chengyue Wu
Taiqiang Wu
...
M. Zhang
Guillermo Sapiro
Jiebo Luo
Ping Luo
Ngai Wong
VGen
46
9
0
08 Nov 2024
Monocular Event-Based Vision for Obstacle Avoidance with a Quadrotor
Monocular Event-Based Vision for Obstacle Avoidance with a Quadrotor
Anish Bhattacharya
Marco Cannici
Nishanth Rao
Yuezhan Tao
Vijay R. Kumar
Nikolai Matni
Davide Scaramuzza
31
7
0
05 Nov 2024
Beyond Grid Data: Exploring Graph Neural Networks for Earth Observation
Beyond Grid Data: Exploring Graph Neural Networks for Earth Observation
Shan Zhao
Zhaiyu Chen
Zhitong Xiong
Yilei Shi
Sudipan Saha
Xiao Xiang Zhu
AI4CE
41
2
0
05 Nov 2024
Exploring the Interplay Between Video Generation and World Models in
  Autonomous Driving: A Survey
Exploring the Interplay Between Video Generation and World Models in Autonomous Driving: A Survey
Ao Fu
Yi Zhou
Tao Zhou
Y. Yang
Bojun Gao
Qun Li
Guobin Wu
Ling Shao
VGen
59
2
0
05 Nov 2024
A Symmetric Dynamic Learning Framework for Diffeomorphic Medical Image
  Registration
A Symmetric Dynamic Learning Framework for Diffeomorphic Medical Image Registration
Jinqiu Deng
Ke-long Chen
Mingke Li
Daoping Zhang
C. L. Philip Chen
Alejandro F. Frangi
Jianping Zhang
MedIm
23
0
0
05 Nov 2024
Adversarial multi-task underwater acoustic target recognition: towards
  robustness against various influential factors
Adversarial multi-task underwater acoustic target recognition: towards robustness against various influential factors
Yuan Xie
Ji Xu
Jiawei Ren
Junfeng Li
AAML
46
1
0
05 Nov 2024
A Global Depth-Range-Free Multi-View Stereo Transformer Network with
  Pose Embedding
A Global Depth-Range-Free Multi-View Stereo Transformer Network with Pose Embedding
Yitong Dong
Yijin Li
Zhaoyang Huang
Weikang Bian
J. Liu
Hujun Bao
Zhaopeng Cui
Hongsheng Li
Guofeng Zhang
3DV
46
0
0
04 Nov 2024
Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for
  Skillful Precipitation Nowcasting
Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting
Chiu-Wai Yan
Shi Quan Foo
Van Hoan Trinh
Dit-Yan Yeung
Ka-Hing Wong
W. Wong
32
1
0
30 Oct 2024
Motion Graph Unleashed: A Novel Approach to Video Prediction
Motion Graph Unleashed: A Novel Approach to Video Prediction
Yiqi Zhong
Luming Liang
Bohan Tang
Ilya Zharkov
Ulrich Neumann
32
1
0
29 Oct 2024
CloudCast -- Total Cloud Cover Nowcasting with Machine Learning
CloudCast -- Total Cloud Cover Nowcasting with Machine Learning
Mikko Partio
Leila Hieta
Anniina Kokkonen
16
1
0
27 Oct 2024
Deep Learning-Driven Microstructure Characterization and Vickers
  Hardness Prediction of Mg-Gd Alloys
Deep Learning-Driven Microstructure Characterization and Vickers Hardness Prediction of Mg-Gd Alloys
Lu Wang
H. Chen
Bing Wang
Qian Li
Qun Luo
Yuexing Han
16
0
0
27 Oct 2024
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