Interpretable Water Level Forecaster with Spatiotemporal Causal Attention Mechanisms

28 February 2023

Papers citing "Interpretable Water Level Forecaster with Spatiotemporal Causal Attention Mechanisms"

7 / 7 papers shown

Title
Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting Wei Fan Pengyang Wang Dongkun Wang Dongjie Wang Yuanchun Zhou Yanjie Fu AI4TS 55 79 0 22 Feb 2023
Representation Learning via Invariant Causal Mechanisms Jovana Mitrović Brian McWilliams Jacob Walker Lars Buesing Charles Blundell CML OOD SSL 58 249 0 15 Oct 2020
End-to-End Object Detection with Transformers Nicolas Carion Francisco Massa Gabriel Synnaeve Nicolas Usunier Alexander Kirillov Sergey Zagoruyko ViT 3DV PINN 345 12,966 0 26 May 2020
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting Bryan Lim Sercan O. Arik Nicolas Loeff Tomas Pfister AI4TS 102 1,443 0 19 Dec 2019
Deep Regression Forests for Age Estimation Wei Shen Yilu Guo Yan Wang Kai Zhao Bo Wang Alan Yuille CVBM 55 145 0 19 Dec 2017
Language Modeling with Gated Convolutional Networks Yann N. Dauphin Angela Fan Michael Auli David Grangier 210 2,391 0 23 Dec 2016
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation Kyunghyun Cho B. V. Merrienboer Çağlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio AIMat 808 23,310 0 03 Jun 2014