Conditional Time Series Forecasting with Convolutional Neural Networks

14 March 2017

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

47 / 47 papers shown

Title
Interest Changes: Considering User Interest Life Cycle in Recommendation System Yinjiang Cai Jiangpan Hou Yangping Zhu Yuan Nie 21 0 0 13 May 2025
Retrieval Augmented Time Series Forecasting Sungwon Han Seungeon Lee M. Cha Sercan Ö. Arik Jinsung Yoon AI4TS 33 0 0 07 May 2025
Multimodal Conditioned Diffusive Time Series Forecasting Chen Su Yuanhe Tian Yan Song DiffM AI4TS 60 0 0 28 Apr 2025
Kolmogorov-Arnold Networks (KANs) for Time Series Analysis Cristian J. Vaca-Rubio Luis Blanco Roberto Pereira Marius Caus AI4TS 18 98 0 14 May 2024
Generative weather for improved crop model simulations Yuji Saikai 27 1 0 31 Mar 2024
Probing the Robustness of Time-series Forecasting Models with CounterfacTS Haakon Hanisch Kjaernli Lluis Mas-Ribas Aida Ashrafi Gleb Sizov Helge Langseth Odd Erik Gundersen AI4TS 28 0 0 06 Mar 2024
Generative Probabilistic Time Series Forecasting and Applications in Grid Operations Xinyi Wang Lang Tong Qing Zhao AI4TS 36 3 0 21 Feb 2024
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 23 5 0 12 Feb 2024
Forecasting Early with Meta Learning Shayan Jawed Kiran Madhusudhanan Vijaya Krishna Yalavarthi Lars Schmidt-Thieme AI4TS 29 0 0 19 Jul 2023
Cross-LKTCN: Modern Convolution Utilizing Cross-Variable Dependency for Multivariate Time Series Forecasting Dependency for Multivariate Time Series Forecasting Donghao Luo Xue Wang BDL AI4TS 19 2 0 04 Jun 2023
Discovering Predictable Latent Factors for Time Series Forecasting Jingyi Hou Zhen Dong Jiayu Zhou Zhijie Liu AI4TS BDL 30 1 0 18 Mar 2023
Two-step interpretable modeling of Intensive Care Acquired Infections Giacomo Lancia Meri Varkila O. Cremer C. Spitoni 17 0 0 26 Jan 2023
A Semi-supervised Approach for Activity Recognition from Indoor Trajectory Data Mashud Rana Ashfaqur Rahman Daniel V. Smith 6 3 0 09 Jan 2023
Infomaxformer: Maximum Entropy Transformer for Long Time-Series Forecasting Problem Peiwang Tang Xianchao Zhang AI4TS 36 3 0 04 Jan 2023
A K-variate Time Series Is Worth K Words: Evolution of the Vanilla Transformer Architecture for Long-term Multivariate Time Series Forecasting Zanwei Zhou Rui-Ming Zhong Chen Yang Yan Wang Xiaokang Yang Wei Shen AI4TS 50 9 0 06 Dec 2022
Edge-Varying Fourier Graph Networks for Multivariate Time Series Forecasting Kun Yi Qi Zhang Liang Hu Hui He Ning An LongBing Cao ZhenDong Niu AI4TS 59 3 0 06 Oct 2022
HARNet: A Convolutional Neural Network for Realized Volatility Forecasting Rafael Reisenhofer Xandro Bayer N. Hautsch 32 8 0 16 May 2022
Efficient Automated Deep Learning for Time Series Forecasting Difan Deng Florian Karl Frank Hutter Bernd Bischl Marius Lindauer AI4TS 38 16 0 11 May 2022
Driving Anomaly Detection Using Conditional Generative Adversarial Network Yuning Qiu Teruhisa Misu Carlos Busso 27 4 0 15 Mar 2022
Neural Forecasting of the Italian Sovereign Bond Market with Economic News Sergio Consoli L. Pezzoli Elisa Tosetti 11 4 0 11 Mar 2022
Simulating Network Paths with Recurrent Buffering Units Divyam Anshumaan S. Balasubramanian Shubham Tiwari Nagarajan Natarajan Sundararajan Sellamanickam V. Padmanabhan 32 0 0 23 Feb 2022
Preformer: Predictive Transformer with Multi-Scale Segment-wise Correlations for Long-Term Time Series Forecasting Dazhao Du Bing-Huang Su Zhewei Wei AI4TS 15 43 0 23 Feb 2022
Interpretability in Safety-Critical FinancialTrading Systems Gabriel Deza Adelin Travers C. Rowat Nicolas Papernot AAML AIFin 21 1 0 24 Sep 2021
Model-free prediction of emergence of extreme events in a parametrically driven nonlinear dynamical system by Deep Learning J. Meiyazhagan S. Sudharsan M. Senthilvelan AI4TS 13 17 0 14 Jul 2021
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting Haixu Wu Jiehui Xu Jianmin Wang Mingsheng Long AI4TS 53 2,098 0 24 Jun 2021
Machine Learning (ML)-Centric Resource Management in Cloud Computing: A Review and Future Directions Tahseen Khan Wenhong Tian Rajkumar Buyya 18 95 0 09 May 2021
Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting Nam H. Nguyen Brian Quanz BDL AI4TS 140 66 0 25 Jan 2021
Long Horizon Forecasting With Temporal Point Processes Prathamesh Deshpande Kamlesh Marathe A. De Sunita Sarawagi AI4TS 24 20 0 08 Jan 2021
Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity Vincent Le Guen Nicolas Thome AI4TS 18 26 0 14 Oct 2020
Machine Learning in Airline Crew Pairing to Construct Initial Clusters for Dynamic Constraint Aggregation Yassine Yaakoubi F. Soumis Simon Lacoste-Julien AI4TS 18 24 0 30 Sep 2020
Improving the Accuracy of Global Forecasting Models using Time Series Data Augmentation Kasun Bandara Hansika Hewamalage Yuan-Hao Liu Yanfei Kang Christoph Bergmeir AI4TS 21 114 0 06 Aug 2020
Time Series Forecasting With Deep Learning: A Survey Bryan Lim S. Zohren AI4TS AI4CE 54 1,187 0 28 Apr 2020
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 25 176 0 21 Apr 2020
Sequential Transfer Machine Learning in Networks: Measuring the Impact of Data and Neural Net Similarity on Transferability Robin Hirt Akash Srivastava Carlos Berg Niklas Kühl 18 3 0 29 Mar 2020
Adversarial Attacks on Probabilistic Autoregressive Forecasting Models Raphaël Dang-Nhu Gagandeep Singh Pavol Bielik Martin Vechev AI4TS AAML 39 20 0 08 Mar 2020
Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models Vincent Le Guen Nicolas Thome AI4TS 32 134 0 19 Sep 2019
LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series with Multiple Seasonal Patterns Kasun Bandara Christoph Bergmeir Hansika Hewamalage AI4TS 17 138 0 10 Sep 2019
Deep Learning for Time Series Forecasting: The Electric Load Case Alberto Gasparin S. Lukovic Cesare Alippi AI4TS 27 220 0 22 Jul 2019
Probabilistic Forecasting with Temporal Convolutional Neural Network Yitian Chen Yanfei Kang Yixiong Chen Zizhuo Wang BDL AI4TS 9 317 0 11 Jun 2019
Classification of Crop Tolerance to Heat and Drought: A Deep Convolutional Neural Networks Approach S. Khaki Zahra Khalilzadeh Lizhi Wang 9 31 0 02 Jun 2019
Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting Rajat Sen Hsiang-Fu Yu Inderjit Dhillon AI4TS 22 347 0 09 May 2019
Data-Driven Vehicle Trajectory Forecasting Shayan Jawed Eya Boumaiza Josif Grabocka Lars Schmidt-Thieme 29 5 0 09 Feb 2019
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 22 146 0 13 Jan 2019
Sales forecasting using WaveNet within the framework of the Kaggle competition Glib Kechyn L. Yu Yangguang Zang Svyatoslav Kechyn 24 26 0 11 Mar 2018
Generative Models for Stochastic Processes Using Convolutional Neural Networks Fernando Fernandes Neto GAN 19 0 0 09 Jan 2018
ShortFuse: Biomedical Time Series Representations in the Presence of Structured Information M. Fiterau Suvrat Bhooshan Jason Alan Fries Charles Bournhonesque Jennifer Hicks Eni Halilaj Christopher Ré Scott L. Delp AI4TS MedIm 21 22 0 13 May 2017
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 251 2,550 0 25 Jan 2016