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High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula
  Processes
v1v2 (latest)

High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula Processes

Neural Information Processing Systems (NeurIPS), 2019
7 October 2019
David Salinas
Michael Bohlke-Schneider
Laurent Callot
Roberto Medico
Jan Gasthaus
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula Processes"

50 / 135 papers shown
TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate
  Time Series
TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time SeriesInternational Conference on Learning Representations (ICLR), 2023
Arjun Ashok
Étienne Marcotte
Valentina Zantedeschi
Nicolas Chapados
Alexandre Drouin
AI4TS
276
24
0
02 Oct 2023
Deep Generative Methods for Producing Forecast Trajectories in Power
  Systems
Deep Generative Methods for Producing Forecast Trajectories in Power Systems
Nathan Weill
Jonathan Dumas
AI4TS
135
0
0
26 Sep 2023
C$^2$VAE: Gaussian Copula-based VAE Differing Disentangled from Coupled
  Representations with Contrastive Posterior
C2^22VAE: Gaussian Copula-based VAE Differing Disentangled from Coupled Representations with Contrastive Posterior
Zhangkai Wu
LongBing Cao
CoGeCMLDRL
275
4
0
23 Sep 2023
Encoding Seasonal Climate Predictions for Demand Forecasting with
  Modular Neural Network
Encoding Seasonal Climate Predictions for Demand Forecasting with Modular Neural Network
S. Marvaniya
Jitendra Singh
Nicolas Galichet
Fred Ochieng Otieno
Geeth de Mel
Kommy Weldemariam
AI4TS
186
0
0
05 Sep 2023
Hierarchical Time Series Forecasting with Bayesian Modeling
Hierarchical Time Series Forecasting with Bayesian Modeling
Gal Elgavish
BDLAI4TS
159
0
0
28 Aug 2023
Comparative Study of Predicting Stock Index Using Deep Learning Models
Comparative Study of Predicting Stock Index Using Deep Learning Models
Harshal Patel
B. Bolla
Sabeesh Ethiraj
D. Reddy
AI4TS
174
2
0
24 Jun 2023
Probabilistic Learning of Multivariate Time Series with Temporal Irregularity
Probabilistic Learning of Multivariate Time Series with Temporal IrregularityIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Yijun Li
Cheuk Hang Leung
Qi Wu
AI4TS
285
1
0
15 Jun 2023
Non-parametric Probabilistic Time Series Forecasting via Innovations
  Representation
Non-parametric Probabilistic Time Series Forecasting via Innovations Representation
Xinyi Wang
Mei-Yu Lee
Qing Zhao
Lang Tong
AI4TS
196
3
0
05 Jun 2023
Traffic Prediction using Artificial Intelligence: Review of Recent
  Advances and Emerging Opportunities
Traffic Prediction using Artificial Intelligence: Review of Recent Advances and Emerging OpportunitiesTransportation Research Part C: Emerging Technologies (TRC), 2022
Maryam Shaygan
Collin Meese
Wanxin Li
Xiaoliang (George) Zhao
Mark M. Nejad
263
174
0
31 May 2023
Better Batch for Deep Probabilistic Time Series Forecasting
Better Batch for Deep Probabilistic Time Series ForecastingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Vincent Zhihao Zheng
Seongjin Choi
Lijun Sun
AI4TS
326
4
0
26 May 2023
Deep Learning based Forecasting: a case study from the online fashion
  industry
Deep Learning based Forecasting: a case study from the online fashion industry
Manuel Kunz
Stefan Birr
Mones Raslan
Lei Ma
Zhuguo Li
...
Armin Kekić
Michael Narodovitch
Kashif Rasul
Julian Sieber
Tim Januschowski
271
20
0
23 May 2023
pTSE: A Multi-model Ensemble Method for Probabilistic Time Series
  Forecasting
pTSE: A Multi-model Ensemble Method for Probabilistic Time Series ForecastingInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Yunyi Zhou
Zhixuan Chu
Yijia Ruan
Ge Jin
Yuchen Huang
Sheng Li
AI4TS
241
16
0
16 May 2023
HiPerformer: Hierarchically Permutation-Equivariant Transformer for Time
  Series Forecasting
HiPerformer: Hierarchically Permutation-Equivariant Transformer for Time Series Forecasting
Ryo Umagami
Yusuke Ono
Yusuke Mukuta
Tatsuya Harada
AI4TS
123
3
0
14 May 2023
Provably Convergent Schrödinger Bridge with Applications to
  Probabilistic Time Series Imputation
Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series ImputationInternational Conference on Machine Learning (ICML), 2023
Yu Chen
Wei Deng
Shikai Fang
Fengpei Li
Ni Yang
Yikai Zhang
Kashif Rasul
Shandian Zhe
Anderson Schneider
Yuriy Nevmyvaka
OTAI4TS
252
34
0
12 May 2023
Hierarchically Coherent Multivariate Mixture Networks
Hierarchically Coherent Multivariate Mixture Networks
Kin G. Olivares
Dave Luo
Cristian Challu
Stefania La Vattiata
Max Mergenthaler-Canseco
A. Dubrawski
BDLAI4TS
189
0
0
11 May 2023
Inference for heavy-tailed data with Gaussian dependence
Inference for heavy-tailed data with Gaussian dependence
Bikramjit Das
189
1
0
09 May 2023
Regions of Reliability in the Evaluation of Multivariate Probabilistic
  Forecasts
Regions of Reliability in the Evaluation of Multivariate Probabilistic ForecastsInternational Conference on Machine Learning (ICML), 2023
Étienne Marcotte
Valentina Zantedeschi
Alexandre Drouin
Nicolas Chapados
AI4TS
194
6
0
19 Apr 2023
Who You Play Affects How You Play: Predicting Sports Performance Using
  Graph Attention Networks With Temporal Convolution
Who You Play Affects How You Play: Predicting Sports Performance Using Graph Attention Networks With Temporal Convolution
Rui Luo
Vikram Krishnamurthy
151
2
0
29 Mar 2023
Forecasting Intraday Power Output by a Set of PV Systems using Recurrent
  Neural Networks and Physical Covariates
Forecasting Intraday Power Output by a Set of PV Systems using Recurrent Neural Networks and Physical Covariates
P. Bruneau
D. Fiorelli
Christian Braun
Daniel Koster
BDL
66
1
0
15 Mar 2023
Adaptive Interventions for Global Health: A Case Study of Malaria
Adaptive Interventions for Global Health: A Case Study of Malaria
África Periánez
A. Trister
Madhav Nekkar
Ana Fernández del Río
P. Alonso
173
1
0
03 Mar 2023
SLOTH: Structured Learning and Task-based Optimization for Time Series
  Forecasting on Hierarchies
SLOTH: Structured Learning and Task-based Optimization for Time Series Forecasting on HierarchiesAAAI Conference on Artificial Intelligence (AAAI), 2023
Fang-le Zhou
Chenle Pan
Lintao Ma
Yu Liu
Shiyu Wang
...
Xu Hu
Yun Hu
Yang Zheng
Lei Lei
Yun Hu
197
5
0
11 Feb 2023
ProbPNN: Enhancing Deep Probabilistic Forecasting with Statistical
  Information
ProbPNN: Enhancing Deep Probabilistic Forecasting with Statistical Information
Benedikt Heidrich
Kaleb Phipps
Oliver Neumann
Marian Turowski
Ralf Mikut
V. Hagenmeyer
AI4TSBDL
166
2
0
06 Feb 2023
Learning Informative Representation for Fairness-aware Multivariate
  Time-series Forecasting: A Group-based Perspective
Learning Informative Representation for Fairness-aware Multivariate Time-series Forecasting: A Group-based PerspectiveIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Hui He
Tao Gui
Shoujin Wang
Kun Yi
ZhenDong Niu
Longbin Cao
AI4TS
241
18
0
27 Jan 2023
Generative Time Series Forecasting with Diffusion, Denoise, and
  Disentanglement
Generative Time Series Forecasting with Diffusion, Denoise, and DisentanglementNeural Information Processing Systems (NeurIPS), 2023
Jian Wang
Xin-xin Lu
Yaqing Wang
De-Yu Dou
DiffMAI4TS
280
148
0
08 Jan 2023
End-to-End Modeling Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow based Reconciliation
End-to-End Modeling Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow based Reconciliation
Shiyu Wang
Fan Zhou
Yinbo Sun
Lintao Ma
James Y. Zhang
Yang Zheng
BDLAI4TS
173
9
0
28 Dec 2022
Scalable Dynamic Mixture Model with Full Covariance for Probabilistic Traffic Forecasting
Scalable Dynamic Mixture Model with Full Covariance for Probabilistic Traffic ForecastingTransportation Science (Transp. Sci.), 2022
Seongjin Choi
Nicolas Saunier
Vincent Zhihao Zheng
M. Trépanier
Lijun Sun
209
4
0
10 Dec 2022
Copula Conformal Prediction for Multi-step Time Series Forecasting
Copula Conformal Prediction for Multi-step Time Series Forecasting
S. Sun
Rose Yu
AI4TS
432
26
0
06 Dec 2022
Modeling Temporal Data as Continuous Functions with Stochastic Process
  Diffusion
Modeling Temporal Data as Continuous Functions with Stochastic Process DiffusionInternational Conference on Machine Learning (ICML), 2022
Marin Bilos
Kashif Rasul
Anderson Schneider
Yuriy Nevmyvaka
Stephan Günnemann
DiffM
314
48
0
04 Nov 2022
STGC-GNNs: A GNN-based traffic prediction framework with a
  spatial-temporal Granger causality graph
STGC-GNNs: A GNN-based traffic prediction framework with a spatial-temporal Granger causality graph
Silu He
Qinyao Luo
Ronghua Du
Ling Zhao
Haifeng Li
245
61
0
30 Oct 2022
SpectraNet: Multivariate Forecasting and Imputation under Distribution
  Shifts and Missing Data
SpectraNet: Multivariate Forecasting and Imputation under Distribution Shifts and Missing Data
Cristian Challu
Peihong Jiang
Y. Wu
Laurent Callot
AI4TS
148
1
0
22 Oct 2022
Latent Temporal Flows for Multivariate Analysis of Wearables Data
Latent Temporal Flows for Multivariate Analysis of Wearables DataMachine Learning in Health Care (MLHC), 2022
Magda Amiridi
Gregory Darnell
S. Jewell
AI4TS
184
2
0
14 Oct 2022
Multi-Target XGBoostLSS Regression
Multi-Target XGBoostLSS Regression
Alexander März
130
7
0
13 Oct 2022
DeepVARwT: Deep Learning for a VAR Model with Trend
DeepVARwT: Deep Learning for a VAR Model with Trend
Xixi Li
Jingsong Yuan
275
1
0
21 Sep 2022
DynaConF: Dynamic Forecasting of Non-Stationary Time Series
DynaConF: Dynamic Forecasting of Non-Stationary Time Series
Siqi Liu
Andreas M. Lehrmann
BDLAI4TS
205
2
0
17 Sep 2022
Conformal Methods for Quantifying Uncertainty in Spatiotemporal Data: A
  Survey
Conformal Methods for Quantifying Uncertainty in Spatiotemporal Data: A Survey
S. Sun
AI4CE
297
13
0
08 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications
Diffusion Models: A Comprehensive Survey of Methods and ApplicationsACM Computing Surveys (ACM CSUR), 2022
Ling Yang
Zhilong Zhang
Yingxia Shao
Shenda Hong
Runsheng Xu
Yue Zhao
Wentao Zhang
Tengjiao Wang
Ming-Hsuan Yang
DiffMMedIm
1.5K
1,882
0
02 Sep 2022
Distributional Drift Adaptation with Temporal Conditional Variational
  Autoencoder for Multivariate Time Series Forecasting
Distributional Drift Adaptation with Temporal Conditional Variational Autoencoder for Multivariate Time Series ForecastingIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Hui He
Tao Gui
Kun Yi
Kaize Shi
ZhenDong Niu
Longbin Cao
TTAAI4TS
339
15
0
01 Sep 2022
Diffusion-based Time Series Imputation and Forecasting with Structured
  State Space Models
Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models
Juan Miguel Lopez Alcaraz
Nils Strodthoff
DiffM
377
233
0
19 Aug 2022
A Novel Transformer Network with Shifted Window Cross-Attention for
  Spatiotemporal Weather Forecasting
A Novel Transformer Network with Shifted Window Cross-Attention for Spatiotemporal Weather ForecastingIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE JSTARS), 2022
Alabi Bojesomo
Hasan Al-Marzouqi
P. Liatsis
201
20
0
02 Aug 2022
Robust Multivariate Time-Series Forecasting: Adversarial Attacks and
  Defense Mechanisms
Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense MechanismsInternational Conference on Learning Representations (ICLR), 2022
Linbo Liu
Youngsuk Park
T. Hoang
Hilaf Hasson
Jun Huan
AAML
273
10
0
19 Jul 2022
Why Did This Model Forecast This Future? Closed-Form Temporal Saliency
  Towards Causal Explanations of Probabilistic Forecasts
Why Did This Model Forecast This Future? Closed-Form Temporal Saliency Towards Causal Explanations of Probabilistic Forecasts
Chirag Raman
Hayley Hung
Marco Loog
177
3
0
01 Jun 2022
VQ-AR: Vector Quantized Autoregressive Probabilistic Time Series
  Forecasting
VQ-AR: Vector Quantized Autoregressive Probabilistic Time Series Forecasting
Kashif Rasul
Young-Jin Park
Max Nihlén Ramström
KyungHyun Kim
BDLAI4TS
160
5
0
31 May 2022
A Graph and Attentive Multi-Path Convolutional Network for Traffic
  Prediction
A Graph and Attentive Multi-Path Convolutional Network for Traffic PredictionIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Jianzhong Qi
Zhuowei Zhao
E. Tanin
Tingru Cui
Neema Nassir
Majid Sarvi
GNN
182
41
0
30 May 2022
Inference and Sampling for Archimax Copulas
Inference and Sampling for Archimax CopulasNeural Information Processing Systems (NeurIPS), 2022
Yuting Ng
Ali Hasan
Vahid Tarokh
274
6
0
27 May 2022
Probabilistic Symmetry for Multi-Agent Dynamics
Probabilistic Symmetry for Multi-Agent DynamicsConference on Learning for Dynamics & Control (L4DC), 2022
S. Sun
Robin Walters
Jinxi Li
Rose Yu
228
2
0
04 May 2022
Dirichlet Proportions Model for Hierarchically Coherent Probabilistic
  Forecasting
Dirichlet Proportions Model for Hierarchically Coherent Probabilistic ForecastingConference on Uncertainty in Artificial Intelligence (UAI), 2022
Abhimanyu Das
Weihao Kong
Biswajit Paria
Rajat Sen
AI4TS
271
8
0
21 Apr 2022
Diverse Counterfactual Explanations for Anomaly Detection in Time Series
Diverse Counterfactual Explanations for Anomaly Detection in Time Series
Deborah Sulem
Michele Donini
Muhammad Bilal Zafar
François-Xavier Aubet
Jan Gasthaus
Tim Januschowski
Sanjiv Ranjan Das
K. Kenthapadi
Cédric Archambeau
AAML
218
12
0
21 Mar 2022
Multivariate Time Series Forecasting with Latent Graph Inference
Multivariate Time Series Forecasting with Latent Graph Inference
Victor Garcia Satorras
Syama Sundar Rangapuram
Tim Januschowski
AI4TS
222
33
0
07 Mar 2022
Robust Probabilistic Time Series Forecasting
Robust Probabilistic Time Series ForecastingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Taeho Yoon
Youngsuk Park
Ernest K. Ryu
Yuyang Wang
AAMLAI4TS
186
24
0
24 Feb 2022
Multivariate Quantile Function Forecaster
Multivariate Quantile Function ForecasterInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Kelvin K. Kan
Franccois-Xavier Aubet
Tim Januschowski
Youngsuk Park
Konstantinos Benidis
Lars Ruthotto
Jan Gasthaus
AI4TS
263
26
0
23 Feb 2022
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