ForecastPFN: Synthetically-Trained Zero-Shot Forecasting

3 November 2023

Samuel Dooley

Gurnoor Singh Khurana

Papers citing "ForecastPFN: Synthetically-Trained Zero-Shot Forecasting"

25 / 25 papers shown

Title
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data Ege Onur Taga M. E. Ildiz Samet Oymak AI4TS 127 3 0 22 Feb 2025
Strada-LLM: Graph LLM for traffic prediction Seyed Mohamad Moghadas Yangxintong Lyu Bruno Cornelis Alexandre Alahi Adrian Munteanu AI4TS 91 1 0 17 Feb 2025
ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilities Ezra Karger Houtan Bastani Chen Yueh-Han Zachary Jacobs Danny Halawi Fred Zhang P. Tetlock 107 9 0 30 Sep 2024
Zero-shot forecasting of chaotic systems Yuanzhao Zhang William Gilpin AI4TS 238 8 0 24 Sep 2024
ViTime: A Visual Intelligence-Based Foundation Model for Time Series Forecasting Luoxiao Yang Yun Wang Xinqi Fan Israel Cohen Jingdong Chen Yue Zhao Zijun Zhang AI4TS 90 8 0 10 Jul 2024
Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks Steven Adriaensen Herilalaina Rakotoarison Samuel G. Müller Frank Hutter BDL 77 23 0 31 Oct 2023
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting Kashif Rasul Arjun Ashok Andrew Robert Williams Hena Ghonia Rishika Bhagwatkar ... Nicolas Chapados Alexandre Drouin Valentina Zantedeschi Yuriy Nevmyvaka Irina Rish AI4TS BDL 81 50 0 12 Oct 2023
Large Language Models Are Zero-Shot Time Series Forecasters Nate Gruver Marc Finzi Shikai Qiu Andrew Gordon Wilson AI4TS 95 368 0 11 Oct 2023
Statistical Foundations of Prior-Data Fitted Networks T. Nagler AI4CE 67 28 0 18 May 2023
When Do Neural Nets Outperform Boosted Trees on Tabular Data? Duncan C. McElfresh Sujay Khandagale Jonathan Valverde C. VishakPrasad Ben Feuer Chinmay Hegde Ganesh Ramakrishnan Micah Goldblum Colin White LMTD 69 159 0 04 May 2023
TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second Noah Hollmann Samuel G. Müller Katharina Eggensperger Frank Hutter 109 313 0 05 Jul 2022
FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators Jaideep Pathak Shashank Subramanian P. Harrington S. Raja Ashesh Chattopadhyay ... Zong-Yi Li Kamyar Azizzadenesheli Pedram Hassanzadeh K. Kashinath Anima Anandkumar AI4Cl 240 709 0 22 Feb 2022
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting Tian Zhou Ziqing Ma Qingsong Wen Xue Wang Liang Sun Rong Jin AI4TS 248 1,435 0 30 Jan 2022
Transformers Can Do Bayesian Inference Samuel G. Müller Noah Hollmann Sebastian Pineda Arango Josif Grabocka Frank Hutter BDL UQCV 86 170 0 20 Dec 2021
Global Models for Time Series Forecasting: A Simulation Study Hansika Hewamalage Christoph Bergmeir Kasun Bandara AI4TS 77 62 0 23 Dec 2020
Efficient Transformers: A Survey Yi Tay Mostafa Dehghani Dara Bahri Donald Metzler VLM 166 1,125 0 14 Sep 2020
Longformer: The Long-Document Transformer Iz Beltagy Matthew E. Peters Arman Cohan RALM VLM 179 4,092 0 10 Apr 2020
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data Nick Erickson Jonas W. Mueller Alexander Shirkov Hang Zhang Pedro Larroy Mu Li Alex Smola LMTD 218 628 0 13 Mar 2020
Meta-learning framework with applications to zero-shot time-series forecasting Boris N. Oreshkin Dmitri Carpov Nicolas Chapados Yoshua Bengio UQCV AI4TS AI4CE 211 112 0 07 Feb 2020
Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019 Omer Berat Sezer M. U. Gudelek A. Ozbayoglu AI4TS 82 1,015 0 29 Nov 2019
Deep learning for time series classification: a review Hassan Ismail Fawaz Germain Forestier J. Weber L. Idoumghar Pierre-Alain Muller AI4TS AI4CE 339 2,702 0 12 Sep 2018
DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks David Salinas Valentin Flunkert Jan Gasthaus AI4TS UQCV BDL 87 2,127 0 13 Apr 2017
Multitask learning and benchmarking with clinical time series data Hrayr Harutyunyan Hrant Khachatrian David C. Kale Greg Ver Steeg Aram Galstyan OOD AI4TS 191 881 0 22 Mar 2017
Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks Guokun Lai Wei-Cheng Chang Yiming Yang Hanxiao Liu BDL AI4TS 110 2,024 0 21 Mar 2017
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 601 12,741 0 11 Dec 2014