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Do We Really Need Deep Learning Models for Time Series Forecasting?

Do We Really Need Deep Learning Models for Time Series Forecasting?

6 January 2021
Shereen Elsayed
Daniela Thyssens
Ahmed Rashed
H. Jomaa
Lars Schmidt-Thieme
    AI4TS
ArXivPDFHTML

Papers citing "Do We Really Need Deep Learning Models for Time Series Forecasting?"

4 / 4 papers shown
Title
On Creating a Causally Grounded Usable Rating Method for Assessing the Robustness of Foundation Models Supporting Time Series
On Creating a Causally Grounded Usable Rating Method for Assessing the Robustness of Foundation Models Supporting Time Series
Kausik Lakkaraju
Rachneet Kaur
Parisa Zehtabi
Sunandita Patra
Siva Likitha Valluru
Zhen Zeng
Biplav Srivastava
Marco Valtorta
AI4TS
98
0
0
17 Feb 2025
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series
  Forecasting
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting
Bryan Lim
Sercan O. Arik
Nicolas Loeff
Tomas Pfister
AI4TS
90
1,433
0
19 Dec 2019
Are We Really Making Much Progress? A Worrying Analysis of Recent Neural
  Recommendation Approaches
Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches
Maurizio Ferrari Dacrema
Paolo Cremonesi
Dietmar Jannach
36
580
0
16 Jul 2019
Autoregressive Convolutional Neural Networks for Asynchronous Time
  Series
Autoregressive Convolutional Neural Networks for Asynchronous Time Series
Mikolaj Binkowski
Gautier Marti
Philippe Donnat
AI4TS
BDL
62
150
0
12 Mar 2017
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