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Transformers predicting the future. Applying attention in next-frame and time series forecasting
18 August 2021
Radostin Cholakov
T. Kolev
AI4TS
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Papers citing
"Transformers predicting the future. Applying attention in next-frame and time series forecasting"
7 / 7 papers shown
Interpretable Dual-Stream Learning for Local Wind Hazard Prediction in Vulnerable Communities
Mahmuda Akhter Nishu
Chenyu Huang
Milad Roohi
Agnibh Dasgupta
93
0
0
20 May 2025
Industrial Machines Health Prognosis using a Transformer-based Framework
David J Poland
Lemuel Puglisi
D. Ravì
205
1
0
05 Nov 2024
Artificial intelligence techniques in inherited retinal diseases: A review
Han Trinh
Jordan Vice
Jason Charng
Zahra Tajbakhsh
Khyber Alam
Fred K. Chen
Lin Wang
192
2
0
10 Oct 2024
A task of anomaly detection for a smart satellite Internet of things system
Zilong Shao
83
0
0
21 Mar 2024
Wisdom of the Silicon Crowd: LLM Ensemble Prediction Capabilities Rival Human Crowd Accuracy
P. Schoenegger
Indre Tuminauskaite
Peter S. Park
Rafael Valdece Sousa Bastos
P. Tetlock
539
46
0
29 Feb 2024
Merlin:Empowering Multimodal LLMs with Foresight Minds
European Conference on Computer Vision (ECCV), 2023
En Yu
Liang Zhao
Yana Wei
Jinrong Yang
Dongming Wu
...
Haoran Wei
Tiancai Wang
Zheng Ge
Xiangyu Zhang
Wenbing Tao
LRM
382
41
0
30 Nov 2023
The GatedTabTransformer. An enhanced deep learning architecture for tabular modeling
Radostin Cholakov
T. Kolev
LMTD
133
20
0
01 Jan 2022
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