Optimizing Time Series Forecasting Architectures: A Hierarchical Neural
Architecture Search Approach

Optimizing Time Series Forecasting Architectures: A Hierarchical Neural Architecture Search Approach

7 June 2024

Marius Lindauer

Papers citing "Optimizing Time Series Forecasting Architectures: A Hierarchical Neural Architecture Search Approach"

6 / 6 papers shown

Title
Temporal Latent Bottleneck: Synthesis of Fast and Slow Processing Mechanisms in Sequence Learning Aniket Didolkar Kshitij Gupta Anirudh Goyal Nitesh B. Gundavarapu Alex Lamb Nan Rosemary Ke Yoshua Bengio AI4CE 110 17 0 30 May 2022
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting Haoyi Zhou Shanghang Zhang J. Peng Shuai Zhang Jianxin Li Hui Xiong Wan Zhang AI4TS 167 3,873 0 14 Dec 2020
Understanding and Robustifying Differentiable Architecture Search Arber Zela T. Elsken Tonmoy Saikia Yassine Marrakchi Thomas Brox Frank Hutter OOD AAML 66 366 0 20 Sep 2019
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 224 7,902 0 13 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 252 75,770 0 18 May 2015