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N-BEATS: Neural basis expansion analysis for interpretable time series forecasting

24 May 2019

Papers citing "N-BEATS: Neural basis expansion analysis for interpretable time series forecasting"

24 / 474 papers shown

Title
Self-Supervised Time Series Representation Learning by Inter-Intra Relational Reasoning Haoyi Fan Fengbin Zhang Yue Gao AI4TS 58 14 0 27 Nov 2020
Graph Deep Factors for Forecasting Hongjie Chen Ryan A. Rossi K. Mahadik Sungchul Kim Hoda Eldardiry BDL AI4TS 53 0 0 14 Oct 2020
Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity Vincent Le Guen Nicolas Thome AI4TS 87 27 0 14 Oct 2020
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting Yuan Yin Vincent Le Guen Jérémie Donà Emmanuel de Bézenac Ibrahim Ayed Nicolas Thome Patrick Gallinari AI4CE PINN 133 135 0 09 Oct 2020
Rank Position Forecasting in Car Racing Bo Peng Jiayu Li Selahattin Akkas Fugang Wang Takuya Araki Ohno Yoshiyuki J. Qiu BDL 86 6 0 04 Oct 2020
Few-shot Learning for Time-series Forecasting Tomoharu Iwata Atsutoshi Kumagai AI4TS 56 18 0 30 Sep 2020
N-BEATS neural network for mid-term electricity load forecasting Boris N. Oreshkin Grzegorz Dudek Paweł Pełka Ekaterina Turkina AI4TS 50 84 0 24 Sep 2020
Machine Learning for Temporal Data in Finance: Challenges and Opportunities J. Wittenbach Learning McLean Virginia Brian AI4TS 28 1 0 11 Sep 2020
Interpretable Sequence Learning for COVID-19 Forecasting Sercan O. Arik Chun-Liang Li Jinsung Yoon Rajarishi Sinha Arkady Epshteyn ... Martin Nikoltchev Yash Sonthalia Hootan Nakhost Elli Kanal Tomas Pfister AI4TS 77 84 0 03 Aug 2020
Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality Pablo Montero-Manso Rob J. Hyndman AI4TS 102 139 0 02 Aug 2020
Relation-aware Meta-learning for Market Segment Demand Prediction with Limited Records Jiatu Shi Huaxiu Yao Xian Wu Tong Li Zedong Lin Tengfei Wang Binqiang Zhao 60 1 0 01 Aug 2020
FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting Boris N. Oreshkin A. Amini Lucy Coyle Mark Coates AI4TS 113 102 0 30 Jul 2020
Interpretable Anomaly Detection with DIFFI: Depth-based Isolation Forest Feature Importance Mattia Carletti M. Terzi Gian Antonio Susto 54 42 0 21 Jul 2020
Markovian RNN: An Adaptive Time Series Prediction Network with HMM-based Switching for Nonstationary Environments Fatih Ilhan Oguzhan Karaahmetoglu Ismail Balaban Suleyman S. Kozat BDL AI4TS 26 20 0 17 Jun 2020
The Effectiveness of Discretization in Forecasting: An Empirical Study on Neural Time Series Models Stephan Rabanser Tim Januschowski Valentin Flunkert David Salinas Jan Gasthaus BDL AI4TS 80 20 0 20 May 2020
Forecasting with sktime: Designing sktime's New Forecasting API and Applying It to Replicate and Extend the M4 Study M. Löning Franz J. Király AI4TS SyDa 58 4 0 16 May 2020
A Multi-Variate Triple-Regression Forecasting Algorithm for Long-Term Customized Allergy Season Prediction Xiaoyu Wu D. Borrelli Z. Bai Youzhi Liang 28 3 0 10 May 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 99 202 0 21 Apr 2020
A Hybrid Residual Dilated LSTM end Exponential Smoothing Model for Mid-Term Electric Load Forecasting Grzegorz Dudek Paweł Pełka Slawek Smyl 43 45 0 29 Mar 2020
Spatiotemporal Adaptive Neural Network for Long-term Forecasting of Financial Time Series Philippe Chatigny Jean-Marc Patenaude Shengrui Wang AI4TS 62 5 0 27 Mar 2020
Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows Kashif Rasul Abdul-Saboor Sheikh Ingmar Schuster Urs M. Bergmann Roland Vollgraf BDL AI4TS AI4CE 140 187 0 14 Feb 2020
Meta-learning framework with applications to zero-shot time-series forecasting Boris N. Oreshkin Dmitri Carpov Nicolas Chapados Yoshua Bengio UQCV AI4TS AI4CE 263 113 0 07 Feb 2020
Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Hansika Hewamalage Christoph Bergmeir Kasun Bandara AI4TS 134 910 0 02 Sep 2019
DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks David Salinas Valentin Flunkert Jan Gasthaus AI4TS UQCV BDL 113 2,157 0 13 Apr 2017