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Time Series Forecasting With Deep Learning: A Survey
v1v2 (latest)

Time Series Forecasting With Deep Learning: A Survey

28 April 2020
Bryan Lim
S. Zohren
    AI4TSAI4CE
ArXiv (abs)PDFHTML

Papers citing "Time Series Forecasting With Deep Learning: A Survey"

50 / 353 papers shown
Title
Time Series Forecasting Models Copy the Past: How to Mitigate
Time Series Forecasting Models Copy the Past: How to MitigateInternational Conference on Artificial Neural Networks (ICANN), 2022
Chrysoula Kosma
Giannis Nikolentzos
Nancy R. Xu
Michalis Vazirgiannis
AI4TS
77
5
0
27 Jul 2022
Rapid training of quantum recurrent neural networks
Rapid training of quantum recurrent neural networksQuantum Machine Intelligence (QMI), 2022
M. Siemaszko
A. Buraczewski
Bertrand Le Saux
Magdalena Stobiñska
194
11
0
01 Jul 2022
Data Augmentation techniques in time series domain: A survey and
  taxonomy
Data Augmentation techniques in time series domain: A survey and taxonomy
Guillermo Iglesias
Edgar Talavera
Ángel González-Prieto
Alberto Mozo
S. Gómez-Canaval
AI4TS
247
220
0
25 Jun 2022
A review of machine learning concepts and methods for addressing
  challenges in probabilistic hydrological post-processing and forecasting
A review of machine learning concepts and methods for addressing challenges in probabilistic hydrological post-processing and forecastingFrontiers in Water (FW), 2022
Georgia Papacharalampous
Hristos Tyralis
AI4CE
182
33
0
17 Jun 2022
EXIT: Extrapolation and Interpolation-based Neural Controlled
  Differential Equations for Time-series Classification and Forecasting
EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and ForecastingThe Web Conference (WWW), 2022
Sheo Yon Jhin
Jaehoon Lee
Minju Jo
Seung-Uk Kook
Jinsung Jeon
Jihyeon Hyeong
Jayoung Kim
Noseong Park
AI4TS
123
27
0
19 Apr 2022
Multimodal Quasi-AutoRegression: Forecasting the visual popularity of
  new fashion products
Multimodal Quasi-AutoRegression: Forecasting the visual popularity of new fashion products
Stefanos-Iordanis Papadopoulos
C. Koutlis
Symeon Papadopoulos
Y. Kompatsiaris
178
24
0
08 Apr 2022
Few-Shot Forecasting of Time-Series with Heterogeneous Channels
Few-Shot Forecasting of Time-Series with Heterogeneous Channels
L. Brinkmeyer
Rafael Rêgo Drumond
Johannes Burchert
Lars Schmidt-Thieme
AI4TS
151
11
0
07 Apr 2022
A Deep Learning Approach to Probabilistic Forecasting of Weather
A Deep Learning Approach to Probabilistic Forecasting of Weather
Nick Rittler
Carlo Graziani
Jiali Wang
R. Kotamarthi
BDL
132
2
0
23 Mar 2022
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series
Jean-Christophe Gagnon-Audet
Kartik Ahuja
Mohammad Javad Darvishi Bayazi
Pooneh Mousavi
G. Dumas
Irina Rish
OODCMLAI4TS
222
38
0
18 Mar 2022
Wasserstein Adversarial Transformer for Cloud Workload Prediction
Wasserstein Adversarial Transformer for Cloud Workload PredictionAAAI Conference on Artificial Intelligence (AAAI), 2022
Shivani Arbat
V. Jayakumar
Jaewoo Lee
Wei Wang
I. Kim
AI4TS
127
32
0
12 Mar 2022
Dual reparametrized Variational Generative Model for Time-Series
  Forecasting
Dual reparametrized Variational Generative Model for Time-Series Forecasting
Ziang Chen
AI4TS
70
0
0
11 Mar 2022
Deep Binary Reinforcement Learning for Scalable Verification
Deep Binary Reinforcement Learning for Scalable Verification
Christopher Lazarus
Mykel J. Kochenderfer
OffRL
85
1
0
11 Mar 2022
Multivariate Time Series Forecasting with Latent Graph Inference
Multivariate Time Series Forecasting with Latent Graph Inference
Victor Garcia Satorras
Syama Sundar Rangapuram
Tim Januschowski
AI4TS
154
33
0
07 Mar 2022
ONE-NAS: An Online NeuroEvolution based Neural Architecture Search for
  Time Series Forecasting
ONE-NAS: An Online NeuroEvolution based Neural Architecture Search for Time Series Forecasting
Zimeng Lyu
Travis J. Desell
AI4TS
85
6
0
27 Feb 2022
Robust Nonparametric Distribution Forecast with Backtest-based Bootstrap
  and Adaptive Residual Selection
Robust Nonparametric Distribution Forecast with Backtest-based Bootstrap and Adaptive Residual SelectionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Longshaokan Wang
Lingda Wang
M. Georgieva
Paulo Machado
Abinaya Ulagappa
Safwan Ahmed
Yanxia Lu
Arjun Bakshi
F. Ghassemi
TTA
62
1
0
16 Feb 2022
Bounded nonlinear forecasts of partially observed geophysical systems
  with physics-constrained deep learning
Bounded nonlinear forecasts of partially observed geophysical systems with physics-constrained deep learning
Said Ouala
Steven L. Brunton
A. Pascual
Bertrand Chapron
F. Collard
L. Gaultier
Ronan Fablet
PINNAI4TSAI4CE
134
12
0
11 Feb 2022
What's Cracking? A Review and Analysis of Deep Learning Methods for
  Structural Crack Segmentation, Detection and Quantification
What's Cracking? A Review and Analysis of Deep Learning Methods for Structural Crack Segmentation, Detection and Quantification
Jacob König
M. Jenkins
M. Mannion
P. Barrie
Gordon Morison
187
16
0
08 Feb 2022
TACTiS: Transformer-Attentional Copulas for Time Series
TACTiS: Transformer-Attentional Copulas for Time SeriesInternational Conference on Machine Learning (ICML), 2022
Alexandre Drouin
Étienne Marcotte
Nicolas Chapados
AI4TS
480
49
0
07 Feb 2022
Layer-wise Regularized Adversarial Training using Layers Sustainability
  Analysis (LSA) framework
Layer-wise Regularized Adversarial Training using Layers Sustainability Analysis (LSA) frameworkNeurocomputing (Neurocomputing), 2022
Mohammad Khalooei
M. Homayounpour
M. Amirmazlaghani
AAML
134
3
0
05 Feb 2022
Review of automated time series forecasting pipelines
Review of automated time series forecasting pipelines
Stefan Meisenbacher
Marian Turowski
Kaleb Phipps
Martin Ratz
D. Muller
V. Hagenmeyer
Ralf Mikut
TPMAI4TS
143
60
0
03 Feb 2022
Machine learning for Earth System Science (ESS): A survey, status and
  future directions for South Asia
Machine learning for Earth System Science (ESS): A survey, status and future directions for South Asia
Manmeet Singh
B. Kumar
R. Chattopadhyay
K. Amarjyothi
Anup K. Sutar
Sukanta Roy
Suryachandra A. Rao
R. Nanjundiah
AI4Cl
94
1
0
24 Dec 2021
Trading with the Momentum Transformer: An Intelligent and Interpretable
  Architecture
Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture
Kieran Wood
Sven Giegerich
Stephen J. Roberts
S. Zohren
AI4TSAIFin
174
22
0
16 Dec 2021
Collective variable discovery in the age of machine learning: reality,
  hype and everything in between
Collective variable discovery in the age of machine learning: reality, hype and everything in betweenRSC Advances (RSC Adv.), 2021
S. Bhakat
AI4CE
114
29
0
06 Dec 2021
Online Advertising Revenue Forecasting: An Interpretable Deep Learning
  Approach
Online Advertising Revenue Forecasting: An Interpretable Deep Learning Approach
Maximilian Würfel
Qiwei Han
Maximilian Kaiser
AI4TS
70
8
0
16 Nov 2021
Generative Adversarial Network for Probabilistic Forecast of Random
  Dynamical System
Generative Adversarial Network for Probabilistic Forecast of Random Dynamical SystemSIAM Journal on Scientific Computing (SISC), 2021
K. Yeo
Zan Li
Wesley M. Gifford
SyDaGANAI4TSAI4CE
192
5
0
04 Nov 2021
MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic
  Time Series Data
MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data
Zhibo Zhu
Ziqi Liu
Ge Jin
Qing Cui
Lei Chen
Jun Zhou
Jianyong Zhou
AI4TS
99
15
0
27 Oct 2021
PIETS: Parallelised Irregularity Encoders for Forecasting with
  Heterogeneous Time-Series
PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series
Futoon M. Abushaqra
Hao Xue
Yongli Ren
Flora D. Salim
AI4TS
123
4
0
30 Sep 2021
Long-Range Transformers for Dynamic Spatiotemporal Forecasting
Long-Range Transformers for Dynamic Spatiotemporal Forecasting
J. E. Grigsby
Zhe Wang
Nam Nguyen
Yanjun Qi
AI4TS
219
109
0
24 Sep 2021
Vehicle Behavior Prediction and Generalization Using Imbalanced Learning
  Techniques
Vehicle Behavior Prediction and Generalization Using Imbalanced Learning TechniquesInternational Conference on Intelligent Transportation Systems (ITSC), 2021
Theodor Westny
Erik Frisk
Björn Olofsson
AI4TSAI4CE
189
13
0
22 Sep 2021
CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting
CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting
Harshavardhan Kamarthi
Lingkai Kong
Alexander Rodríguez
Chao Zhang
B. Prakash
AI4TS
178
18
0
15 Sep 2021
AutoML Meets Time Series Regression Design and Analysis of the
  AutoSeries Challenge
AutoML Meets Time Series Regression Design and Analysis of the AutoSeries Challenge
Zhen Xu
Wei-Wei Tu
Isabelle M Guyon
AI4TS
56
10
0
28 Jul 2021
Vision-Guided Forecasting -- Visual Context for Multi-Horizon Time
  Series Forecasting
Vision-Guided Forecasting -- Visual Context for Multi-Horizon Time Series Forecasting
Eitan Kosman
Dotan Di Castro
AI4TS
120
2
0
27 Jul 2021
Comparing Prophet and Deep Learning to ARIMA in Forecasting Wholesale
  Food Prices
Comparing Prophet and Deep Learning to ARIMA in Forecasting Wholesale Food Prices
L. Menculini
A. Marini
Massimiliano Proietti
A. Garinei
Alessio Bozza
Cecilia Moretti
M. Marconi
91
63
0
23 Jul 2021
Single Model for Influenza Forecasting of Multiple Countries by
  Multi-task Learning
Single Model for Influenza Forecasting of Multiple Countries by Multi-task Learning
Taichi Murayama
Shoko Wakamiya
Eiji Aramaki
AI4TS
76
1
0
05 Jul 2021
Prescient teleoperation of humanoid robots
Prescient teleoperation of humanoid robots
Luigi Penco
Jean-Baptiste Mouret
S. Ivaldi
50
0
0
02 Jul 2021
SCINet: Time Series Modeling and Forecasting with Sample Convolution and
  Interaction
SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction
Minhao Liu
Ailing Zeng
Mu-Hwa Chen
Zhijian Xu
Qiuxia Lai
Lingna Ma
Qiang Xu
AI4TS
205
553
0
17 Jun 2021
Deep Learning Statistical Arbitrage
Deep Learning Statistical ArbitrageSocial Science Research Network (SSRN), 2021
Jorge Guijarro-Ordonez
Markus Pelger
Greg Zanotti
73
26
0
08 Jun 2021
Statistical embedding: Beyond principal components
Statistical embedding: Beyond principal componentsStatistical Science (Statist. Sci.), 2021
D. Tjøstheim
Martin Jullum
Anders Løland
151
2
0
03 Jun 2021
Learning and Generalization in RNNs
Learning and Generalization in RNNsNeural Information Processing Systems (NeurIPS), 2021
A. Panigrahi
Navin Goyal
148
3
0
31 May 2021
Slow Momentum with Fast Reversion: A Trading Strategy Using Deep
  Learning and Changepoint Detection
Slow Momentum with Fast Reversion: A Trading Strategy Using Deep Learning and Changepoint DetectionThe Journal of Financial Data Science (JFDS), 2021
Kieran Wood
Stephen J. Roberts
S. Zohren
141
24
0
28 May 2021
Long Short-term Memory RNN
Long Short-term Memory RNN
Christian Bakke Vennerød
Adrian Kjærran
Erling Stray Bugge
AI4TS
54
38
0
14 May 2021
Boosted Embeddings for Time Series Forecasting
Boosted Embeddings for Time Series ForecastingInternational Conference on Machine Learning, Optimization, and Data Science (MOD), 2021
Sankeerth Rao Karingula
Nandini Ramanan
Rasool Tahsambi
Mehrnaz Amjadi
Deokwoo Jung
Ricky Si
Charanraj Thimmisetty
Luisa Polania Cabrera
Marjorie Sayer
C. Coelho
AI4TS
116
16
0
10 Apr 2021
Creativity and Machine Learning: A Survey
Creativity and Machine Learning: A SurveyACM Computing Surveys (CSUR), 2021
Giorgio Franceschelli
Mirco Musolesi
VLMAI4CE
357
52
0
06 Apr 2021
DEALIO: Data-Efficient Adversarial Learning for Imitation from
  Observation
DEALIO: Data-Efficient Adversarial Learning for Imitation from ObservationIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
F. Torabi
Garrett A. Warnell
Yufei Xu
164
5
0
31 Mar 2021
Deep Learning for Market by Order Data
Deep Learning for Market by Order DataApplied Mathematical Finance (AMF), 2021
Zihao Zhang
Bryan Lim
S. Zohren
127
27
0
17 Feb 2021
Causal Inference for Time series Analysis: Problems, Methods and
  Evaluation
Causal Inference for Time series Analysis: Problems, Methods and EvaluationKnowledge and Information Systems (KAIS), 2021
Raha Moraffah
Paras Sheth
Mansooreh Karami
Anchit Bhattacharya
Qianru Wang
Anique Tahir
A. Raglin
Huan Liu
CMLAI4TS
172
122
0
11 Feb 2021
Challenges and approaches to time-series forecasting in data center
  telemetry: A Survey
Challenges and approaches to time-series forecasting in data center telemetry: A Survey
Shruti Jadon
Jan Kanty Milczek
Ajit Patnakar
AI4TS
73
11
0
11 Jan 2021
Manifold-based time series forecasting
Manifold-based time series forecasting
Nikita Puchkin
A. Timofeev
V. Spokoiny
AI4TS
126
0
0
15 Dec 2020
Bridging Physics-based and Data-driven modeling for Learning Dynamical
  Systems
Bridging Physics-based and Data-driven modeling for Learning Dynamical SystemsConference on Learning for Dynamics & Control (L4DC), 2020
Rui Wang
Danielle C. Maddix
Christos Faloutsos
Bernie Wang
Rose Yu
OODAI4CE
164
60
0
20 Nov 2020
Structural Forecasting for Tropical Cyclone Intensity Prediction:
  Providing Insight with Deep Learning
Structural Forecasting for Tropical Cyclone Intensity Prediction: Providing Insight with Deep Learning
Trey McNeely
Niccolò Dalmasso
Kimberly M. Wood
Ann B. Lee
90
3
0
07 Oct 2020
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