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Collaborative Imputation of Urban Time Series through Cross-city Meta-learning

Collaborative Imputation of Urban Time Series through Cross-city Meta-learning

20 January 2025
Tong Nie
Wei Ma
Jian Sun
Yu Yang
Jiannong Cao
    AI4TSAI4CE
ArXiv (abs)PDFHTML

Papers citing "Collaborative Imputation of Urban Time Series through Cross-city Meta-learning"

44 / 44 papers shown
Title
TinyViM: Frequency Decoupling for Tiny Hybrid Vision Mamba
TinyViM: Frequency Decoupling for Tiny Hybrid Vision Mamba
Xiaowen Ma
Zhenliang Ni
Xinghao Chen
Mamba
120
2
0
26 Nov 2024
Channel-Aware Low-Rank Adaptation in Time Series Forecasting
Channel-Aware Low-Rank Adaptation in Time Series Forecasting
Tong Nie
Yuewen Mei
Guoyang Qin
Jiangming Sun
Wei Ma
BDLAI4TS
62
9
0
24 Jul 2024
Generalizable Implicit Neural Representation As a Universal
  Spatiotemporal Traffic Data Learner
Generalizable Implicit Neural Representation As a Universal Spatiotemporal Traffic Data Learner
Tong Nie
Guoyang Qin
Wei Ma
Jian Sun
76
1
0
13 Jun 2024
Self-Supervised Learning of Time Series Representation via Diffusion
  Process and Imputation-Interpolation-Forecasting Mask
Self-Supervised Learning of Time Series Representation via Diffusion Process and Imputation-Interpolation-Forecasting Mask
Zineb Senane
Lele Cao
V. Buchner
Yusuke Tashiro
Lei You
P. Herman
Mats Nordahl
Ruibo Tu
Vilhelm von Ehrenheim
DiffMAI4TS
94
12
0
09 May 2024
Spatiotemporal Implicit Neural Representation as a Generalized Traffic
  Data Learner
Spatiotemporal Implicit Neural Representation as a Generalized Traffic Data Learner
Tong Nie
Guoyang Qin
Wei Ma
Jiangming Sun
62
9
0
06 May 2024
COLA: Cross-city Mobility Transformer for Human Trajectory Simulation
COLA: Cross-city Mobility Transformer for Human Trajectory Simulation
Yu Wang
Tongya Zheng
Yuxuan Liang
Shunyu Liu
Mingli Song
63
16
0
04 Mar 2024
Continuous Field Reconstruction from Sparse Observations with Implicit
  Neural Networks
Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks
Xihaier Luo
Wei Xu
Yihui Ren
Shinjae Yoo
B. Nadiga
77
12
0
21 Jan 2024
ImputeFormer: Low Rankness-Induced Transformers for Generalizable
  Spatiotemporal Imputation
ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation
Tong Nie
Guoyang Qin
Wei Ma
Yuewen Mei
Jiangming Sun
AI4TSAI4CE
90
36
0
04 Dec 2023
Large Models for Time Series and Spatio-Temporal Data: A Survey and
  Outlook
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook
Ming Jin
Qingsong Wen
Yuxuan Liang
Chaoli Zhang
Siqiao Xue
...
Shirui Pan
Vincent S. Tseng
Yu Zheng
Lei Chen
Hui Xiong
AI4TSSyDa
155
123
0
16 Oct 2023
Exploring Progress in Multivariate Time Series Forecasting:
  Comprehensive Benchmarking and Heterogeneity Analysis
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis
Zezhi Shao
Fei Wang
Yongjun Xu
Wei Wei
Chengqing Yu
...
Guangyin Jin
Xin Cao
Gao Cong
Christian S. Jensen
Xueqi Cheng
AI4TS
74
71
0
09 Oct 2023
Locality-Aware Generalizable Implicit Neural Representation
Locality-Aware Generalizable Implicit Neural Representation
Doyup Lee
Chiheon Kim
Minsu Cho
Wook-Shin Han
87
12
0
09 Oct 2023
Time Series Continuous Modeling for Imputation and Forecasting with
  Implicit Neural Representations
Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations
E. L. Naour
Louis Serrano
Léon Migus
Yuan Yin
G. Agoua
Nicolas Baskiotis
Patrick Gallinari
Vincent Guigue
BDLAI4TS
83
11
0
09 Jun 2023
A Survey on Time-Series Pre-Trained Models
A Survey on Time-Series Pre-Trained Models
Qianli Ma
Ziqiang Liu
Zhenjing Zheng
Ziyang Huang
Siying Zhu
Zhongzhong Yu
James T. Kwok
AI4TS
98
55
0
18 May 2023
The Capacity and Robustness Trade-off: Revisiting the Channel
  Independent Strategy for Multivariate Time Series Forecasting
The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series Forecasting
Lu Han
Han-Jia Ye
De-Chuan Zhan
AI4TS
103
100
0
11 Apr 2023
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban
  Computing: A Survey
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey
G. Jin
Yuxuan Liang
Yuchen Fang
Zezhi Shao
Jincai Huang
Junbo Zhang
Yu Zheng
AI4TSAI4CE
133
206
0
25 Mar 2023
Polynomial Implicit Neural Representations For Large Diverse Datasets
Polynomial Implicit Neural Representations For Large Diverse Datasets
Rajhans Singh
Ankita Shukla
Pavan Turaga
AI4CE
81
24
0
20 Mar 2023
PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation
PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation
Mingzhe Liu
Han Huang
Hao Feng
Leilei Sun
Bowen Du
Yanjie Fu
DiffM
91
55
0
20 Feb 2023
Laplacian Convolutional Representation for Traffic Time Series
  Imputation
Laplacian Convolutional Representation for Traffic Time Series Imputation
Xinyu Chen
Zhanhong Cheng
HanQin Cai
Nicolas Saunier
Lijun Sun
AI4TS
88
18
0
03 Dec 2022
Low-Rank Tensor Function Representation for Multi-Dimensional Data
  Recovery
Low-Rank Tensor Function Representation for Multi-Dimensional Data Recovery
Yisi Luo
Xile Zhao
Zhemin Li
Michael K. Ng
Deyu Meng
87
40
0
01 Dec 2022
Generalizable Implicit Neural Representations via Instance Pattern
  Composers
Generalizable Implicit Neural Representations via Instance Pattern Composers
Chiheon Kim
Doyup Lee
Saehoon Kim
Minsu Cho
Wook-Shin Han
AI4CE
86
25
0
23 Nov 2022
HyperTime: Implicit Neural Representation for Time Series
HyperTime: Implicit Neural Representation for Time Series
Elizabeth Fons
Alejandro Sztrajman
Yousef El-Laham
Alexandros Iosifidis
Svitlana Vyetrenko
AI4TS
74
23
0
11 Aug 2022
Learning Deep Time-index Models for Time Series Forecasting
Learning Deep Time-index Models for Time Series Forecasting
Gerald Woo
Chenghao Liu
Doyen Sahoo
Akshat Kumar
Guosheng Lin
AI4TSAI4CE
80
29
0
13 Jul 2022
Truncated tensor Schatten p-norm based approach for spatiotemporal
  traffic data imputation with complicated missing patterns
Truncated tensor Schatten p-norm based approach for spatiotemporal traffic data imputation with complicated missing patterns
Tong Nie
Guoyang Qin
Jian Sun
82
53
0
19 May 2022
SAITS: Self-Attention-based Imputation for Time Series
SAITS: Self-Attention-based Imputation for Time Series
Wenjie Du
David Cote
Yang Liu
AI4TS
100
258
0
17 Feb 2022
Domain Adversarial Spatial-Temporal Network: A Transferable Framework
  for Short-term Traffic Forecasting across Cities
Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities
Yihong Tang
Ao Qu
A. Chow
W. Lam
S. Wong
Wei-Ying Ma
AI4TS
183
58
0
08 Feb 2022
From data to functa: Your data point is a function and you can treat it
  like one
From data to functa: Your data point is a function and you can treat it like one
Emilien Dupont
Hyunjik Kim
S. M. Ali Eslami
Danilo Jimenez Rezende
Dan Rosenbaum
TDI3DPC
246
159
0
28 Jan 2022
A Structured Dictionary Perspective on Implicit Neural Representations
A Structured Dictionary Perspective on Implicit Neural Representations
Gizem Yüce
Guillermo Ortiz-Jiménez
Beril Besbinar
P. Frossard
91
90
0
03 Dec 2021
Learning Signal-Agnostic Manifolds of Neural Fields
Learning Signal-Agnostic Manifolds of Neural Fields
Yilun Du
Katherine M. Collins
J. Tenenbaum
Vincent Sitzmann
MedIm
85
50
0
11 Nov 2021
Low-Rank Hankel Tensor Completion for Traffic Speed Estimation
Low-Rank Hankel Tensor Completion for Traffic Speed Estimation
Xudong Wang
Yuankai Wu
Dingyi Zhuang
Lijun Sun
61
41
0
21 May 2021
Modulated Periodic Activations for Generalizable Local Functional
  Representations
Modulated Periodic Activations for Generalizable Local Functional Representations
Ishit Mehta
Michael Gharbi
Connelly Barnes
Eli Shechtman
R. Ramamoorthi
Manmohan Chandraker
67
159
0
08 Apr 2021
COIN: COmpression with Implicit Neural representations
COIN: COmpression with Implicit Neural representations
Emilien Dupont
Adam Goliñski
Milad Alizadeh
Yee Whye Teh
Arnaud Doucet
91
227
0
03 Mar 2021
Quantifying Spatial Homogeneity of Urban Road Networks via Graph Neural
  Networks
Quantifying Spatial Homogeneity of Urban Road Networks via Graph Neural Networks
Jiawei Xue
Nan Jiang
Senwei Liang
Qiyuan Pang
Takahiro Yabe
S. Ukkusuri
Jianzhu Ma
59
28
0
01 Jan 2021
Learning Continuous Image Representation with Local Implicit Image
  Function
Learning Continuous Image Representation with Local Implicit Image Function
Yinbo Chen
Sifei Liu
Xiaolong Wang
SSLSupRCLL
102
681
0
16 Dec 2020
Learning from Irregularly-Sampled Time Series: A Missing Data
  Perspective
Learning from Irregularly-Sampled Time Series: A Missing Data Perspective
Steven Cheng-Xian Li
Benjamin M. Marlin
AI4TS
55
56
0
17 Aug 2020
Fourier Features Let Networks Learn High Frequency Functions in Low
  Dimensional Domains
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
Matthew Tancik
Pratul P. Srinivasan
B. Mildenhall
Sara Fridovich-Keil
N. Raghavan
Utkarsh Singhal
R. Ramamoorthi
Jonathan T. Barron
Ren Ng
135
2,449
0
18 Jun 2020
MetaSDF: Meta-learning Signed Distance Functions
MetaSDF: Meta-learning Signed Distance Functions
Vincent Sitzmann
E. R. Chan
Richard Tucker
Noah Snavely
Gordon Wetzstein
67
251
0
17 Jun 2020
Implicit Neural Representations with Periodic Activation Functions
Implicit Neural Representations with Periodic Activation Functions
Vincent Sitzmann
Julien N. P. Martel
Alexander W. Bergman
David B. Lindell
Gordon Wetzstein
AI4TS
174
2,579
0
17 Jun 2020
Missing Not at Random in Matrix Completion: The Effectiveness of
  Estimating Missingness Probabilities Under a Low Nuclear Norm Assumption
Missing Not at Random in Matrix Completion: The Effectiveness of Estimating Missingness Probabilities Under a Low Nuclear Norm Assumption
Wei-Ying Ma
George H. Chen
136
52
0
28 Oct 2019
Interpolation-Prediction Networks for Irregularly Sampled Time Series
Interpolation-Prediction Networks for Irregularly Sampled Time Series
Satya Narayan Shukla
Benjamin M. Marlin
AI4TS3DH
70
148
0
13 Sep 2019
Deep Learning for Spatio-Temporal Data Mining: A Survey
Deep Learning for Spatio-Temporal Data Mining: A Survey
Senzhang Wang
Jiannong Cao
Philip S. Yu
AI4TS
97
568
0
11 Jun 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape
  Representation
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
Jeong Joon Park
Peter R. Florence
Julian Straub
Richard Newcombe
S. Lovegrove
3DV
135
3,709
0
16 Jan 2019
BRITS: Bidirectional Recurrent Imputation for Time Series
BRITS: Bidirectional Recurrent Imputation for Time Series
Wei Cao
Dong Wang
Jian Li
Hao Zhou
Lei Li
Yitan Li
AI4TS
58
625
0
27 May 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
838
11,961
0
09 Mar 2017
Recurrent Neural Networks for Multivariate Time Series with Missing
  Values
Recurrent Neural Networks for Multivariate Time Series with Missing Values
Zhengping Che
S. Purushotham
Kyunghyun Cho
David Sontag
Yan Liu
AI4TS
319
1,951
0
06 Jun 2016
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