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Real-time Forecasting of Time Series in Financial Markets Using
  Sequentially Trained Many-to-one LSTMs

Real-time Forecasting of Time Series in Financial Markets Using Sequentially Trained Many-to-one LSTMs

10 May 2022
Kelum Gajamannage
Yonggi Park
    AI4TSAIFin
ArXiv (abs)PDFHTML

Papers citing "Real-time Forecasting of Time Series in Financial Markets Using Sequentially Trained Many-to-one LSTMs"

13 / 13 papers shown
Title
Reconstruction of Fragmented Trajectories of Collective Motion using
  Hadamard Deep Autoencoders
Reconstruction of Fragmented Trajectories of Collective Motion using Hadamard Deep Autoencoders
Kelum Gajamannage
Yonggi Park
Randy Paffenroth
A. Jayasumana
27
8
0
20 Oct 2021
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
132
1,476
0
19 Dec 2019
Bounded Manifold Completion
Bounded Manifold Completion
Kelum Gajamannage
Randy Paffenroth
40
10
0
19 Dec 2019
N-BEATS: Neural basis expansion analysis for interpretable time series
  forecasting
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
Boris N. Oreshkin
Dmitri Carpov
Nicolas Chapados
Yoshua Bengio
AI4TS
131
1,067
0
24 May 2019
On the Convergence Rate of Training Recurrent Neural Networks
On the Convergence Rate of Training Recurrent Neural Networks
Zeyuan Allen-Zhu
Yuanzhi Li
Zhao Song
200
192
0
29 Oct 2018
A Nonlinear Dimensionality Reduction Framework Using Smooth Geodesics
A Nonlinear Dimensionality Reduction Framework Using Smooth Geodesics
Kelum Gajamannage
Randy Paffenroth
Erik Bollt
42
28
0
21 Jul 2017
DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks
DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks
David Salinas
Valentin Flunkert
Jan Gasthaus
AI4TSUQCVBDL
96
2,134
0
13 Apr 2017
Deep LSTM for Large Vocabulary Continuous Speech Recognition
Deep LSTM for Large Vocabulary Continuous Speech Recognition
Xudong Tian
Jun Zhang
Zejun Ma
Yi He
Juan Wei
Peihao Wu
Wenchang Situ
Shuai Li
Yang Zhang
48
30
0
21 Mar 2017
Residual LSTM: Design of a Deep Recurrent Architecture for Distant
  Speech Recognition
Residual LSTM: Design of a Deep Recurrent Architecture for Distant Speech Recognition
Jaeyoung Kim
Mostafa El-Khamy
Jungwon Lee
AI4TS
92
181
0
10 Jan 2017
Memory-Efficient Backpropagation Through Time
Memory-Efficient Backpropagation Through Time
A. Gruslys
Rémi Munos
Ivo Danihelka
Marc Lanctot
Alex Graves
73
229
0
10 Jun 2016
Quantifying the vanishing gradient and long distance dependency problem
  in recursive neural networks and recursive LSTMs
Quantifying the vanishing gradient and long distance dependency problem in recursive neural networks and recursive LSTMs
Phong Le
Willem H. Zuidema
68
59
0
01 Mar 2016
Identifying manifolds underlying group motion in Vicsek agents
Identifying manifolds underlying group motion in Vicsek agents
Kelum Gajamannage
S. Butail
Maurizio Porfiri
Erik Bollt
33
16
0
12 Aug 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,433
0
22 Dec 2014
1