NeuralProphet: Explainable Forecasting at Scale

29 November 2021

Papers citing "NeuralProphet: Explainable Forecasting at Scale"

20 / 20 papers shown

Title
GAMformer: In-Context Learning for Generalized Additive Models Andreas Mueller Julien N. Siems Harsha Nori David Salinas Arber Zela Rich Caruana Frank Hutter AI4CE 120 3 0 06 Oct 2024
DAM: Towards A Foundation Model for Time Series Forecasting L. N. Darlow Qiwen Deng Ahmed Hassan Martin Asenov Rajkarn Singh Artjom Joosen Adam Barker Amos Storkey AI4TS AI4CE 90 4 0 25 Jul 2024
A Survey of AI-Powered Mini-Grid Solutions for a Sustainable Future in Rural Communities Craig Pirie Harsha Kalutarage Muhammad Shadi Hajar Nirmalie Wiratunga Subodha Charles ... Priyantha Buddhika Supun Wijesiriwardana Akila Dimantha Kithdara Hansamal Shalitha Pathiranage 25 1 0 17 Jul 2024
Membership Inference Attacks Against Time-Series Models Noam Koren Abigail Goldsteen Ariel Farkash Guy Amit 124 0 0 03 Jul 2024
Interpretable Multivariate Time Series Forecasting Using Neural Fourier Transform Noam Koren Kira Radinsky AI4TS 74 3 0 22 May 2024
DAM: A Universal Dual Attention Mechanism for Multimodal Timeseries Cryptocurrency Trend Forecasting Yihang Fu Mingyu Zhou Luyao Zhang AI4TS 86 6 0 01 May 2024
Designing forecasting software for forecast users: Empowering non-experts to create and understand their own forecasts Richard Stromer Oskar Triebe Chad Zanocco Ram Rajagopal AI4TS 57 0 0 22 Apr 2024
Neural Network Modeling for Forecasting Tourism Demand in Stopića Cave: A Serbian Cave Tourism Study Buda Bajić Srdjan Milićević Aleksandar Antić Slobodan Marković Nemanja Tomić 32 1 0 07 Apr 2024
From Similarity to Superiority: Channel Clustering for Time Series Forecasting Jialin Chen J. E. Lenssen Aosong Feng Weihua Hu Matthias Fey Leandros Tassiulas J. Leskovec Rex Ying AI4TS 83 15 0 31 Mar 2024
Generalizable Resource Scaling of 5G Slices using Constrained Reinforcement Learning Muhammad Sulaiman Mahdieh Ahmadi M. A. Salahuddin R. Boutaba A. Saleh 74 8 0 15 Jun 2023
QBSD: Quartile-Based Seasonality Decomposition for Cost-Effective Time Series Forecasting Ebenezer R. H. P. Isaac Bulbul Singh AI4TS 42 0 0 09 Jun 2023
Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models Julien N. Siems Konstantin Ditschuneit Winfried Ripken Alma Lindborg Maximilian Schambach Johannes Otterbach Martin Genzel 90 6 0 19 May 2023
Improving Accuracy Without Losing Interpretability: A ML Approach for Time Series Forecasting Yiqi Sun Zheng Shi Jianshen Zhang Yongzhi Qi Hao Hu Zuo-jun Shen AI4TS 64 1 0 13 Dec 2022
Experimental study of time series forecasting methods for groundwater level prediction Michael Franklin Mbouopda Thomas Guyet Nicolas Labroche Abel Henriot 66 1 0 28 Sep 2022
Forecasting Future World Events with Neural Networks Andy Zou Tristan Xiao Ryan Jia Joe Kwon Mantas Mazeika Richard Li Dawn Song Jacob Steinhardt Owain Evans Dan Hendrycks 106 27 0 30 Jun 2022
Neural Additive Models for Nowcasting Wonkeun Jo Dongil Kim 108 4 0 20 May 2022
Long-Term Missing Value Imputation for Time Series Data Using Deep Neural Networks Jangho Park Juliane Müller B. Arora B. Faybishenko G. Pastorello C. Varadharajan R. Sahu Deb Agarwal AI4TS 28 37 0 25 Feb 2022
Learning Fast and Slow for Online Time Series Forecasting Quang Pham Chenghao Liu Doyen Sahoo Guosheng Lin TTA AI4TS 71 35 0 23 Feb 2022
Merging Two Cultures: Deep and Statistical Learning A. Bhadra J. Datta Nicholas G. Polson Vadim Sokolov Jianeng Xu BDL 79 10 0 22 Oct 2021
Model Selection for Time Series Forecasting: Empirical Analysis of Different Estimators Vítor Cerqueira Luís Torgo Carlos Soares AI4TS 97 7 0 01 Apr 2021