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Conditional Time Series Forecasting with Convolutional Neural Networks
v1v2v3v4v5 (latest)

Conditional Time Series Forecasting with Convolutional Neural Networks

14 March 2017
Anastasia Borovykh
S. Bohté
C. Oosterlee
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Conditional Time Series Forecasting with Convolutional Neural Networks"

50 / 159 papers shown
Monash Time Series Forecasting Archive
Monash Time Series Forecasting Archive
Rakshitha Godahewa
Christoph Bergmeir
Geoffrey I. Webb
Rob J. Hyndman
Pablo Montero-Manso
AI4TS
254
216
0
14 May 2021
Machine Learning (ML)-Centric Resource Management in Cloud Computing: A
  Review and Future Directions
Machine Learning (ML)-Centric Resource Management in Cloud Computing: A Review and Future DirectionsJournal of Network and Computer Applications (JNCA), 2021
Tahseen Khan
Wenhong Tian
Rajkumar Buyya
158
134
0
09 May 2021
A novel weighted approach for time series forecasting based on
  visibility graph
A novel weighted approach for time series forecasting based on visibility graphPattern Recognition (Pattern Recogn.), 2021
Tianxiang Zhan
Fuyuan Xiao
AI4TS
500
9
0
14 Mar 2021
Improving Neural Networks for Time Series Forecasting using Data
  Augmentation and AutoML
Improving Neural Networks for Time Series Forecasting using Data Augmentation and AutoMLInternational Conference on Big Data Computing Service and Applications (ICBDCSA), 2021
Indrajeet Javeri
Mohammadhossein Toutiaee
I. Arpinar
Tom W. Miller
John A. Miller
AI4TS
133
19
0
02 Mar 2021
Characterization of Neural Networks Automatically Mapped on
  Automotive-grade Microcontrollers
Characterization of Neural Networks Automatically Mapped on Automotive-grade Microcontrollers
Giulia Crocioni
G. Gruosso
D. Pau
D. Denaro
Luigi Zambrano
G. D. Giore
79
5
0
27 Feb 2021
Domain Adaptation for Time Series Forecasting via Attention Sharing
Domain Adaptation for Time Series Forecasting via Attention SharingInternational Conference on Machine Learning (ICML), 2021
Xiaoyong Jin
Youngsuk Park
Danielle C. Maddix
Bernie Wang
Xifeng Yan
TTAOODAI4TS
680
106
0
13 Feb 2021
Time Series (re)sampling using Generative Adversarial Networks
Time Series (re)sampling using Generative Adversarial NetworksNeural Networks (NN), 2021
Christian Moller Dahl
Emil N. Sørensen
TTAAI4TS
168
11
0
30 Jan 2021
Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate
  Time Series Forecasting
Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series ForecastingAAAI Conference on Artificial Intelligence (AAAI), 2021
Nam H. Nguyen
Brian Quanz
BDLAI4TS
321
81
0
25 Jan 2021
Optimizing Hyperparameters in CNNs using Bilevel Programming in Time
  Series Data
Optimizing Hyperparameters in CNNs using Bilevel Programming in Time Series Data
Taniya Seth
Pranab K. Muhuri
80
0
0
19 Jan 2021
Long Horizon Forecasting With Temporal Point Processes
Long Horizon Forecasting With Temporal Point ProcessesWeb Search and Data Mining (WSDM), 2021
Prathamesh Deshpande
Kamlesh Marathe
A. De
Sunita Sarawagi
AI4TS
291
25
0
08 Jan 2021
Spatiotemporal Pattern Mining for Nowcasting Extreme Earthquakes in
  Southern California
Spatiotemporal Pattern Mining for Nowcasting Extreme Earthquakes in Southern CaliforniaeScience (eScience), 2020
Bo Feng
Geoffrey C. Fox
191
5
0
20 Dec 2020
Series Saliency: Temporal Interpretation for Multivariate Time Series
  Forecasting
Series Saliency: Temporal Interpretation for Multivariate Time Series Forecasting
Qingyi Pan
Wenbo Hu
Jun Zhu
FAttAI4TS
97
8
0
16 Dec 2020
Probabilistic Time Series Forecasting with Structured Shape and Temporal
  Diversity
Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity
Vincent Le Guen
Nicolas Thome
AI4TS
385
27
0
14 Oct 2020
Machine Learning in Airline Crew Pairing to Construct Initial Clusters
  for Dynamic Constraint Aggregation
Machine Learning in Airline Crew Pairing to Construct Initial Clusters for Dynamic Constraint AggregationEURO Journal on Transportation and Logistics (JETL), 2020
Yassine Yaakoubi
F. Soumis
Damien Scieur
AI4TS
163
27
0
30 Sep 2020
Flight-connection Prediction for Airline Crew Scheduling to Construct
  Initial Clusters for OR Optimizer
Flight-connection Prediction for Airline Crew Scheduling to Construct Initial Clusters for OR Optimizer
Yassine Yaakoubi
F. Soumis
Damien Scieur
173
10
0
26 Sep 2020
Adversarial Examples in Deep Learning for Multivariate Time Series
  Regression
Adversarial Examples in Deep Learning for Multivariate Time Series RegressionInternational Conference on Artificial Intelligence and Pattern Recognition (AIPR), 2020
Gautam Raj Mode
K. A. Hoque
AAMLAI4TS
126
67
0
24 Sep 2020
LAVARNET: Neural Network Modeling of Causal Variable Relationships for
  Multivariate Time Series Forecasting
LAVARNET: Neural Network Modeling of Causal Variable Relationships for Multivariate Time Series ForecastingApplied Soft Computing (ASC), 2020
C. Koutlis
Symeon Papadopoulos
Emmanouil Schinas
Y. Kompatsiaris
CMLAI4TS
159
18
0
02 Sep 2020
Improving the Accuracy of Global Forecasting Models using Time Series
  Data Augmentation
Improving the Accuracy of Global Forecasting Models using Time Series Data AugmentationPattern Recognition (Pattern Recognit.), 2020
Kasun Bandara
Hansika Hewamalage
Yuan-Hao Liu
Yanfei Kang
Christoph Bergmeir
AI4TS
341
133
0
06 Aug 2020
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
Mengwei He
Lina Yao
Can Li
Xianzhi Wang
Can Wang
GNNAI4TS
317
1,665
0
06 Jul 2020
The Effectiveness of Discretization in Forecasting: An Empirical Study
  on Neural Time Series Models
The Effectiveness of Discretization in Forecasting: An Empirical Study on Neural Time Series Models
Stephan Rabanser
Tim Januschowski
Valentin Flunkert
David Salinas
Jan Gasthaus
BDLAI4TS
173
27
0
20 May 2020
Time Series Forecasting With Deep Learning: A Survey
Time Series Forecasting With Deep Learning: A Survey
Bryan Lim
S. Zohren
AI4TSAI4CE
287
1,599
0
28 Apr 2020
Deep Learning for Time Series Forecasting: Tutorial and Literature
  Survey
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey
Konstantinos Benidis
Syama Sundar Rangapuram
Valentin Flunkert
Bernie Wang
Danielle C. Maddix
...
David Salinas
Lorenzo Stella
François-Xavier Aubet
Laurent Callot
Tim Januschowski
AI4TS
440
287
0
21 Apr 2020
Industrial Forecasting with Exponentially Smoothed Recurrent Neural
  Networks
Industrial Forecasting with Exponentially Smoothed Recurrent Neural Networks
M. Dixon
AI4TS
138
17
0
09 Apr 2020
Anomaly Detection in Univariate Time-series: A Survey on the
  State-of-the-Art
Anomaly Detection in Univariate Time-series: A Survey on the State-of-the-Art
Mohammad Braei
Sebastian Wagner
AI4TS
219
222
0
01 Apr 2020
Sequential Transfer Machine Learning in Networks: Measuring the Impact
  of Data and Neural Net Similarity on Transferability
Sequential Transfer Machine Learning in Networks: Measuring the Impact of Data and Neural Net Similarity on TransferabilityHawaii International Conference on System Sciences (HICSS), 2020
Robin Hirt
Akash Srivastava
Carlos Berg
Niklas Kühl
207
3
0
29 Mar 2020
Adversarial Attacks on Probabilistic Autoregressive Forecasting Models
Adversarial Attacks on Probabilistic Autoregressive Forecasting ModelsInternational Conference on Machine Learning (ICML), 2020
Raphaël Dang-Nhu
Gagandeep Singh
Pavol Bielik
Martin Vechev
AI4TSAAML
178
25
0
08 Mar 2020
Conditional Mutual information-based Contrastive Loss for Financial Time
  Series Forecasting
Conditional Mutual information-based Contrastive Loss for Financial Time Series ForecastingInternational Conference on AI in Finance (ICAIF), 2020
Hanwei Wu
Ather Gattami
M. Flierl
AI4TS
163
16
0
18 Feb 2020
Temporal Tensor Transformation Network for Multivariate Time Series
  Prediction
Temporal Tensor Transformation Network for Multivariate Time Series Prediction
Yuya Jeremy Ong
Mu Qiao
D. Jadav
AI4TS
66
5
0
04 Jan 2020
AR-Net: A simple Auto-Regressive Neural Network for time-series
AR-Net: A simple Auto-Regressive Neural Network for time-series
Oskar Triebe
N. Laptev
Ram Rajagopal
AI4TSAI4CE
229
68
0
27 Nov 2019
A CNN-RNN Framework for Crop Yield Prediction
A CNN-RNN Framework for Crop Yield PredictionFrontiers in Plant Science (Front. Plant Sci.), 2019
S. Khaki
Lizhi Wang
S. Archontoulis
256
522
0
20 Nov 2019
Deep convolutional autoencoder for cryptocurrency market analysis
Deep convolutional autoencoder for cryptocurrency market analysis
V. Puzyrev
132
2
0
27 Oct 2019
Shape and Time Distortion Loss for Training Deep Time Series Forecasting
  Models
Shape and Time Distortion Loss for Training Deep Time Series Forecasting ModelsNeural Information Processing Systems (NeurIPS), 2019
Vincent Le Guen
Nicolas Thome
AI4TS
432
161
0
19 Sep 2019
Self-boosted Time-series Forecasting with Multi-task and Multi-view
  Learning
Self-boosted Time-series Forecasting with Multi-task and Multi-view Learning
L. Nguyen
Zhenhe Pan
Opeyemi Openiyi
Hashim Abu-gellban
M. Moghadasi
Fang Jin
AI4TS
104
9
0
17 Sep 2019
LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series with
  Multiple Seasonal Patterns
LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series with Multiple Seasonal PatternsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Kasun Bandara
Christoph Bergmeir
Hansika Hewamalage
AI4TS
259
164
0
10 Sep 2019
Real Time Trajectory Prediction Using Deep Conditional Generative Models
Real Time Trajectory Prediction Using Deep Conditional Generative ModelsIEEE Robotics and Automation Letters (RA-L), 2019
S. Gómez-González
Sergey Prokudin
Bernhard Schölkopf
Jan Peters
DRLAI4CE
158
44
0
09 Sep 2019
Recurrent Neural Networks for Time Series Forecasting: Current Status
  and Future Directions
Recurrent Neural Networks for Time Series Forecasting: Current Status and Future DirectionsInternational Journal of Forecasting (IJF), 2019
Hansika Hewamalage
Christoph Bergmeir
Kasun Bandara
AI4TS
392
1,102
0
02 Sep 2019
Surrogate Optimization of Deep Neural Networks for Groundwater
  Predictions
Surrogate Optimization of Deep Neural Networks for Groundwater PredictionsJournal of Global Optimization (J. Glob. Optim.), 2019
Juliane Müller
Jangho Park
R. Sahu
C. Varadharajan
B. Arora
B. Faybishenko
D. Agarwal
AI4CE
101
83
0
28 Aug 2019
Quantile Convolutional Neural Networks for Value at Risk Forecasting
Quantile Convolutional Neural Networks for Value at Risk Forecasting
Gábor Petneházi
AI4TS
94
2
0
21 Aug 2019
Deep Learning for Time Series Forecasting: The Electric Load Case
Deep Learning for Time Series Forecasting: The Electric Load CaseCAAI Transactions on Intelligence Technology (TCIT), 2019
Alberto Gasparin
S. Lukovic
Cesare Alippi
AI4TS
153
270
0
22 Jul 2019
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer
  on Time Series Forecasting
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series ForecastingNeural Information Processing Systems (NeurIPS), 2019
Shiyang Li
Xiaoyong Jin
Yao Xuan
Xiyou Zhou
Wenhu Chen
Yu Wang
Xifeng Yan
AI4TS
610
1,768
0
29 Jun 2019
Probabilistic Forecasting with Temporal Convolutional Neural Network
Probabilistic Forecasting with Temporal Convolutional Neural Network
Yitian Chen
Yanfei Kang
Yixiong Chen
Zizhuo Wang
BDLAI4TS
357
371
0
11 Jun 2019
Classification of Crop Tolerance to Heat and Drought: A Deep
  Convolutional Neural Networks Approach
Classification of Crop Tolerance to Heat and Drought: A Deep Convolutional Neural Networks Approach
S. Khaki
Zahra Khalilzadeh
Lizhi Wang
535
32
0
02 Jun 2019
A multi-series framework for demand forecasts in E-commerce
A multi-series framework for demand forecasts in E-commerce
Rémy Garnier
A. Bellétoile
AI4TS
247
2
0
31 May 2019
Think Globally, Act Locally: A Deep Neural Network Approach to
  High-Dimensional Time Series Forecasting
Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series ForecastingNeural Information Processing Systems (NeurIPS), 2019
Rajat Sen
Hsiang-Fu Yu
Inderjit Dhillon
AI4TS
336
438
0
09 May 2019
Multivariate Time Series Classification using Dilated Convolutional
  Neural Network
Multivariate Time Series Classification using Dilated Convolutional Neural Network
Omolbanin Yazdanbakhsh
S. Dick
115
37
0
05 May 2019
Curriculum Learning in Deep Neural Networks for Financial Forecasting
Curriculum Learning in Deep Neural Networks for Financial Forecasting
Allison Koenecke
Amita Gajewar
AI4TS
109
20
0
29 Apr 2019
Neural Networks for Lorenz Map Prediction: A Trip Through Time
Neural Networks for Lorenz Map Prediction: A Trip Through Time
Denisa Roberts
AI4TSAI4CE
58
1
0
18 Mar 2019
Data-Driven Vehicle Trajectory Forecasting
Data-Driven Vehicle Trajectory Forecasting
Shayan Jawed
Eya Boumaiza
Josif Grabocka
Lars Schmidt-Thieme
124
5
0
09 Feb 2019
Model-based Deep Reinforcement Learning for Dynamic Portfolio
  Optimization
Model-based Deep Reinforcement Learning for Dynamic Portfolio Optimization
Pengqian Yu
J. Lee
Ilya Kulyatin
Zekun Shi
Sakyasingha Dasgupta
171
74
0
25 Jan 2019
Sales Demand Forecast in E-commerce using a Long Short-Term Memory
  Neural Network Methodology
Sales Demand Forecast in E-commerce using a Long Short-Term Memory Neural Network Methodology
Kasun Bandara
Peibei Shi
Christoph Bergmeir
Hansika Hewamalage
Quoc-Huy Tran
Brian Seaman
AI4TS
370
154
0
13 Jan 2019
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