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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 / 158 papers shown
Title
CubeletWorld: A New Abstraction for Scalable 3D Modeling
CubeletWorld: A New Abstraction for Scalable 3D Modeling
Azlaan Mustafa Samad
Hoang H. Nguyen
Lukas Berg
Henrik Müller
Yuan Xue
Daniel Kudenko
Zahra Ahmadi
20
0
0
21 Nov 2025
CATS-Linear: Classification Auxiliary Linear Model for Time Series Forecasting
CATS-Linear: Classification Auxiliary Linear Model for Time Series Forecasting
Zipo Jibao
Yingyi Fu
Xinyang Chen
Guoting Chen
AI4TS
68
0
0
09 Oct 2025
Smart Contract Adoption under Discrete Overdispersed Demand: A Negative Binomial Optimization Perspective
Smart Contract Adoption under Discrete Overdispersed Demand: A Negative Binomial Optimization Perspective
Jinho Cha
Sahng-Min Han
Long Pham
41
0
0
07 Oct 2025
Extreme value forecasting using relevance-based data augmentation with deep learning models
Extreme value forecasting using relevance-based data augmentation with deep learning models
Junru Hua
Rahul Ahluwalia
Rohitash Chandra
AI4TS
108
0
0
02 Oct 2025
Predictive inference for time series: why is split conformal effective despite temporal dependence?
Predictive inference for time series: why is split conformal effective despite temporal dependence?
Rina Foygel Barber
Ashwin Pananjady
AI4TS
68
0
0
02 Oct 2025
Knowledge-Guided Adaptive Mixture of Experts for Precipitation Prediction
Knowledge-Guided Adaptive Mixture of Experts for Precipitation Prediction
Chen Jiang
Kofi Osei
Sai Deepthi Yeddula
Dongji Feng
Wei-Shinn Ku
29
0
0
14 Sep 2025
DeepAries: Adaptive Rebalancing Interval Selection for Enhanced Portfolio Selection
DeepAries: Adaptive Rebalancing Interval Selection for Enhanced Portfolio Selection
Jinkyu Kim
Hyunjung Yi
Mogan Gim
Donghee Choi
Jaewoo Kang
61
0
0
11 Sep 2025
Optimizing Multi-Tier Supply Chain Ordering with LNN+XGBoost: Mitigating the Bullwhip Effect
Optimizing Multi-Tier Supply Chain Ordering with LNN+XGBoost: Mitigating the Bullwhip Effect
Chunan Tong
82
0
0
28 Jul 2025
Adaptive Fuzzy Time Series Forecasting via Partially Asymmetric Convolution and Sub-Sliding Window Fusion
Adaptive Fuzzy Time Series Forecasting via Partially Asymmetric Convolution and Sub-Sliding Window Fusion
Lijian Li
AI4TS
115
0
0
28 Jul 2025
SPADE-S: A Sparsity-Robust Foundational Forecaster
SPADE-S: A Sparsity-Robust Foundational Forecaster
Malcolm Wolff
Matthew Li
Ravi Kiran Selvam
Hanjing Zhu
Kin G. Olivares
...
Roberto Bandarra
Rahul Gopalsamy
Stefania La Vattiata
Sitan Yang
Michael M. Mahoney
AI4TS
133
0
0
24 Jul 2025
Diffusion Models for Time Series Forecasting: A Survey
Diffusion Models for Time Series Forecasting: A Survey
Chen Su
Zhengzhou Cai
Yuanhe Tian
Zhuochao Chang
Zihong Zheng
Yan Song
AI4TS
132
1
0
19 Jul 2025
EXPRTS: Exploring and Probing the Robustness of Time Series Forecasting Models
EXPRTS: Exploring and Probing the Robustness of Time Series Forecasting Models
Haakon Hanisch Kjaernli
Lluis Mas-Ribas
Hans Jakob Håland
Gleb Sizov
Aida Ashrafi
Helge Langseth
Odd Erik Gundersen
AI4TS
333
0
0
01 Jul 2025
Over-squashing in Spatiotemporal Graph Neural Networks
Over-squashing in Spatiotemporal Graph Neural Networks
Ivan Marisca
Jacob Bamberger
Cesare Alippi
Michael M. Bronstein
162
0
0
18 Jun 2025
HAELT: A Hybrid Attentive Ensemble Learning Transformer Framework for High-Frequency Stock Price Forecasting
HAELT: A Hybrid Attentive Ensemble Learning Transformer Framework for High-Frequency Stock Price Forecasting
Thanh Dan Bui
AIFinAI4TS
106
1
0
09 Jun 2025
Transformer-Based Decomposition of Electrodermal Activity for Real-World Mental Health Applications
Transformer-Based Decomposition of Electrodermal Activity for Real-World Mental Health ApplicationsItalian National Conference on Sensors (INS), 2025
Charalampos Tsirmpas
Stasinos Konstantopoulos
Dimitris Andrikopoulos
Konstantina Kyriakouli
Panagiotis Fatouros
64
2
0
04 Jun 2025
Non-collective Calibrating Strategy for Time Series Forecasting
Non-collective Calibrating Strategy for Time Series ForecastingInternational Joint Conference on Artificial Intelligence (IJCAI), 2025
Bin Wang
Yongqi Han
Minbo Ma
Tianrui Li
Junbo Zhang
Feng Hong
Yanwei Yu
AI4TS
169
0
0
29 May 2025
Interest Changes: Considering User Interest Life Cycle in Recommendation System
Interest Changes: Considering User Interest Life Cycle in Recommendation SystemAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
Yinjiang Cai
Jiangpan Hou
Yangping Zhu
Yuan Nie
258
0
0
13 May 2025
Retrieval Augmented Time Series Forecasting
Retrieval Augmented Time Series Forecasting
Sungwon Han
Seungeon Lee
M. Cha
Sercan O. Arik
Chang Jo Kim
AI4TS
152
0
0
07 May 2025
Multimodal Conditioned Diffusive Time Series Forecasting
Multimodal Conditioned Diffusive Time Series Forecasting
Chen Su
Yuanhe Tian
Yan Song
DiffMAI4TS
174
3
0
28 Apr 2025
Foundation Models for Time Series: A Survey
Foundation Models for Time Series: A Survey
Siva Rama Krishna Kottapalli
Karthik Hubli
Sandeep Chandrashekhara
Garima Jain
Sunayana Hubli
Gayathri Botla
Ramesh Doddaiah
AI4TSAI4CE
325
3
0
05 Apr 2025
SMT(LIA) Sampling with High Diversity
SMT(LIA) Sampling with High Diversity
Yong Lai
Junjie Li
Chuan Luo
247
0
0
25 Feb 2025
General Information Metrics for Improving AI Model Training EfficiencyArtificial Intelligence Review (AIR), 2025
Jianfeng Xu
Congcong Liu
Xiaoying Tan
Xiaojie Zhu
Anpeng Wu
...
Weijun Kong
Chun Li
Hu Xu
Kun Kuang
Leilei Gan
304
3
0
02 Jan 2025
A Mamba Foundation Model for Time Series Forecasting
A Mamba Foundation Model for Time Series Forecasting
Haoyu Ma
Yushu Chen
Wenlai Zhao
Jinzhe Yang
Yingsheng Ji
Xinghua Xu
Xiaozhu Liu
Hao Jing
Shengzhuo Liu
Guangwen Yang
AI4TSMamba
272
9
0
05 Nov 2024
An Efficient and Generalizable Symbolic Regression Method for Time
  Series Analysis
An Efficient and Generalizable Symbolic Regression Method for Time Series Analysis
Yi Xie
Tianyu Qiu
Yun Xiong
Xiuqi Huang
Xiaofeng Gao
Chao Chen
AI4TS
245
2
0
06 Sep 2024
Omni-Dimensional Frequency Learner for General Time Series Analysis
Omni-Dimensional Frequency Learner for General Time Series Analysis
Xianing Chen
Hanting Chen
Hailin Hu
AI4TS
173
0
0
15 Jul 2024
xLSTMTime : Long-term Time Series Forecasting With xLSTM
xLSTMTime : Long-term Time Series Forecasting With xLSTM
Musleh Alharthi
A. Mahmood
AI4TS
166
41
0
14 Jul 2024
SincVAE: A new semi-supervised approach to improve anomaly detection on EEG data using SincNet and variational autoencoder
SincVAE: A new semi-supervised approach to improve anomaly detection on EEG data using SincNet and variational autoencoder
A. Pollastro
Francesco Isgrò
R. Prevete
264
2
0
25 Jun 2024
Leveraging 2D Information for Long-term Time Series Forecasting with
  Vanilla Transformers
Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla Transformers
Xin Cheng
Preslav Nakov
Shuqi Li
Di Luo
Xun Wang
Dongyan Zhao
Rui Yan
AI4TS
177
4
0
22 May 2024
Kolmogorov-Arnold Networks (KANs) for Time Series Analysis
Kolmogorov-Arnold Networks (KANs) for Time Series Analysis
Cristian J. Vaca-Rubio
Luis Blanco
Roberto Pereira
Marius Caus
AI4TS
187
170
0
14 May 2024
Generative weather for improved crop model simulations
Generative weather for improved crop model simulations
Yuji Saikai
222
1
0
31 Mar 2024
CATS: Enhancing Multivariate Time Series Forecasting by Constructing
  Auxiliary Time Series as Exogenous Variables
CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables
Jiecheng Lu
Xu Han
Yan Sun
Shihao Yang
AI4TS
170
31
0
04 Mar 2024
Deep Coupling Network For Multivariate Time Series Forecasting
Deep Coupling Network For Multivariate Time Series Forecasting
Kun Yi
Tao Gui
Hui He
Kaize Shi
Liang Hu
Ning An
ZhenDong Niu
AI4TS
110
11
0
23 Feb 2024
Generative Probabilistic Time Series Forecasting and Applications in
  Grid Operations
Generative Probabilistic Time Series Forecasting and Applications in Grid Operations
Xinyi Wang
Lang Tong
Qing Zhao
AI4TS
174
4
0
21 Feb 2024
Structural Knowledge Informed Continual Multivariate Time Series
  Forecasting
Structural Knowledge Informed Continual Multivariate Time Series Forecasting
Zijie Pan
Yushan Jiang
Dongjin Song
Sahil Garg
Kashif Rasul
Anderson Schneider
Yuriy Nevmyvaka
CLLAI4TS
164
4
0
20 Feb 2024
Graph-based Forecasting with Missing Data through Spatiotemporal
  Downsampling
Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling
Ivan Marisca
Cesare Alippi
F. Bianchi
AI4TS
196
20
0
16 Feb 2024
Only the Curve Shape Matters: Training Foundation Models for Zero-Shot
  Multivariate Time Series Forecasting through Next Curve Shape Prediction
Only the Curve Shape Matters: Training Foundation Models for Zero-Shot Multivariate Time Series Forecasting through Next Curve Shape Prediction
Cheng Feng
Long Huang
Denis Krompass
AI4TS
288
9
0
12 Feb 2024
Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks
Dynamic Long-Term Time-Series Forecasting via Meta Transformer NetworksIEEE Transactions on Artificial Intelligence (IEEE TAI), 2024
M. A. Ma'sum
MD Rasel Sarkar
Mahardhika Pratama
Savitha Ramasamy
S. Anavatti
Lin Liu
Habibullah Habibullah
Ryszard Kowalczyk
AI4TS
126
1
0
25 Jan 2024
AutoXPCR: Automated Multi-Objective Model Selection for Time Series
  Forecasting
AutoXPCR: Automated Multi-Objective Model Selection for Time Series Forecasting
Raphael Fischer
Amal Saadallah
191
5
0
20 Dec 2023
Mixture-of-Linear-Experts for Long-term Time Series Forecasting
Mixture-of-Linear-Experts for Long-term Time Series Forecasting
Ronghao Ni
Zinan Lin
Shuaiqi Wang
Giulia Fanti
AI4TS
182
36
0
11 Dec 2023
Short-term prediction of construction waste transport activities using
  AI-Truck
Short-term prediction of construction waste transport activities using AI-Truck
Meng Xu
Ke Han
93
0
0
07 Dec 2023
Breaking Boundaries: Balancing Performance and Robustness in Deep
  Wireless Traffic Forecasting
Breaking Boundaries: Balancing Performance and Robustness in Deep Wireless Traffic Forecasting
Romain Ilbert
Thai V. Hoang
Zonghua Zhang
Themis Palpanas
OODAAML
304
1
0
16 Nov 2023
A decoder-only foundation model for time-series forecasting
A decoder-only foundation model for time-series forecasting
Abhimanyu Das
Weihao Kong
Rajat Sen
Yichen Zhou
AI4TSAI4CE
446
422
0
14 Oct 2023
ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual
  Learning
ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning
Jiecheng Lu
Xu Han
Shihao Yang
AI4TS
106
7
0
14 Oct 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
178
0
0
05 Sep 2023
Classification of Anomalies in Telecommunication Network KPI Time Series
Classification of Anomalies in Telecommunication Network KPI Time Series
Korantin Bordeau-Aubert
Justin Whatley
S. Nadeau
Tristan Glatard
Brigitte Jaumard
AI4TS
78
0
0
30 Aug 2023
TFDNet: Time-Frequency Enhanced Decomposed Network for Long-term Time
  Series Forecasting
TFDNet: Time-Frequency Enhanced Decomposed Network for Long-term Time Series Forecasting
Yuxiao Luo
Ziyu Lyu
Xin Huang
AI4TS
106
10
0
25 Aug 2023
Impact of Disentanglement on Pruning Neural Networks
Impact of Disentanglement on Pruning Neural Networks
Carl Shneider
Peyman Rostami
Anis Kacem
Nilotpal Sinha
Abd El Rahman Shabayek
Djamila Aouada
141
0
0
19 Jul 2023
Forecasting Early with Meta Learning
Forecasting Early with Meta LearningIEEE International Joint Conference on Neural Network (IJCNN), 2023
Shayan Jawed
Kiran Madhusudhanan
Vijaya Krishna Yalavarthi
Lars Schmidt-Thieme
AI4TS
258
1
0
19 Jul 2023
GEANN: Scalable Graph Augmentations for Multi-Horizon Time Series
  Forecasting
GEANN: Scalable Graph Augmentations for Multi-Horizon Time Series Forecasting
Sitan Yang
Malcolm Wolff
S. Ramasubramanian
Vincent Quenneville-Belair
Ronak Metha
Michael W. Mahoney
AI4TSAI4CE
102
1
0
07 Jul 2023
A Survey on Graph Neural Networks for Time Series: Forecasting,
  Classification, Imputation, and Anomaly Detection
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly DetectionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Ming Jin
Huan Yee Koh
Qingsong Wen
Daniele Zambon
Cesare Alippi
G. I. Webb
Irwin King
Shirui Pan
AI4TSAI4CE
282
297
0
07 Jul 2023
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