ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1905.10437
  4. Cited By
N-BEATS: Neural basis expansion analysis for interpretable time series
  forecasting

N-BEATS: Neural basis expansion analysis for interpretable time series forecasting

24 May 2019
Boris N. Oreshkin
Dmitri Carpov
Nicolas Chapados
Yoshua Bengio
    AI4TS
ArXivPDFHTML

Papers citing "N-BEATS: Neural basis expansion analysis for interpretable time series forecasting"

50 / 160 papers shown
Title
Deep Learning-Based Forecasting of Boarding Patient Counts to Address ED Overcrowding
Deep Learning-Based Forecasting of Boarding Patient Counts to Address ED Overcrowding
Orhun Vural
Bunyamin Ozaydin
Khalid Y. Aram
James Booth
Brittany F. Lindsey
Abdulaziz Ahmed
9
0
0
20 May 2025
PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification
PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification
Hongrui Kou
Jingkai Li
Ziyu Wang
Zhouhang Lv
Yuxin Zhang
Cheng Wang
ViT
AI4TS
9
0
0
19 May 2025
Enhancing LLMs for Time Series Forecasting via Structure-Guided Cross-Modal Alignment
Enhancing LLMs for Time Series Forecasting via Structure-Guided Cross-Modal Alignment
Siming Sun
Kai Zhang
Xuejun Jiang
Wenchao Meng
Qinmin Yang
AI4TS
12
0
0
19 May 2025
Context-Aware Probabilistic Modeling with LLM for Multimodal Time Series Forecasting
Context-Aware Probabilistic Modeling with LLM for Multimodal Time Series Forecasting
Yueyang Yao
Jiajun Li
Xingyuan Dai
MengMeng Zhang
Xiaoyan Gong
Fei-Yue Wang
Yisheng Lv
AI4TS
28
0
0
16 May 2025
A Multi-scale Representation Learning Framework for Long-Term Time Series Forecasting
A Multi-scale Representation Learning Framework for Long-Term Time Series Forecasting
Boshi Gao
Qingjian Ni
Fanbo Ju
Yu Chen
Ziqi Zhao
AI4TS
31
0
0
13 May 2025
Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation
Hierarchical Forecast Reconciliation on Networks: A Network Flow Optimization Formulation
Charupriya Sharma
Iñaki Estella Aguerri
Daniel Guimarans
AI4TS
26
0
0
06 May 2025
How Effective are Large Time Series Models in Hydrology? A Study on Water Level Forecasting in Everglades
How Effective are Large Time Series Models in Hydrology? A Study on Water Level Forecasting in Everglades
Rahuul Rangaraj
Jimeng Shi
Azam Shirali
Rajendra Paudel
Yanzhao Wu
Giri Narasimhan
48
0
0
02 May 2025
Do global forecasting models require frequent retraining?
Do global forecasting models require frequent retraining?
Marco Zanotti
42
0
0
01 May 2025
Pretraining Large Brain Language Model for Active BCI: Silent Speech
Pretraining Large Brain Language Model for Active BCI: Silent Speech
Jinzhao Zhou
Zehong Cao
Yiqun Duan
Connor Barkley
Daniel Leong
...
Ziyi Zhao
T. Do
Yu-Cheng Chang
Sheng-Fu Liang
Chin-Teng Lin
39
0
0
29 Apr 2025
Pets: General Pattern Assisted Architecture For Time Series Analysis
Pets: General Pattern Assisted Architecture For Time Series Analysis
Xiangkai Ma
Xiaobin Hong
Wenzhong Li
Sanglu Lu
AI4TS
34
0
0
19 Apr 2025
TimeCapsule: Solving the Jigsaw Puzzle of Long-Term Time Series Forecasting with Compressed Predictive Representations
TimeCapsule: Solving the Jigsaw Puzzle of Long-Term Time Series Forecasting with Compressed Predictive Representations
Yihang Lu
Yangyang Xu
Qitao Qing
Xianwei Meng
AI4TS
51
0
0
17 Apr 2025
SCENT: Robust Spatiotemporal Learning for Continuous Scientific Data via Scalable Conditioned Neural Fields
SCENT: Robust Spatiotemporal Learning for Continuous Scientific Data via Scalable Conditioned Neural Fields
David K. Park
Xihaier Luo
Guang Zhao
Seungjun Lee
M. Oprescu
Shinjae Yoo
AI4TS
34
0
0
16 Apr 2025
Forecasting Cryptocurrency Prices using Contextual ES-adRNN with Exogenous Variables
Forecasting Cryptocurrency Prices using Contextual ES-adRNN with Exogenous Variables
Slawek Smyl
Grzegorz Dudek
Paweł Pełka
AI4TS
26
1
0
11 Apr 2025
ModelRadar: Aspect-based Forecast Evaluation
ModelRadar: Aspect-based Forecast Evaluation
Vítor Cerqueira
Luis Roque
Carlos Soares
64
0
0
31 Mar 2025
TRACE: Time SeRies PArameter EffiCient FinE-tuning
TRACE: Time SeRies PArameter EffiCient FinE-tuning
Yuze Li
Wei Zhu
AI4TS
75
1
0
21 Mar 2025
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modelling
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modelling
Hao Li
Yu Huang
Chang Xu
Viktor Schlegel
Ren-He Jiang
R. Batista-Navarro
Goran Nenadic
Jiang Bian
DiffM
AI4CE
203
2
0
04 Mar 2025
Filtered not Mixed: Stochastic Filtering-Based Online Gating for Mixture of Large Language Models
Filtered not Mixed: Stochastic Filtering-Based Online Gating for Mixture of Large Language Models
Raeid Saqur
Anastasis Kratsios
Florian Krach
Yannick Limmer
Jacob-Junqi Tian
John Willes
Blanka Horvath
Frank Rudzicz
MoE
58
0
0
24 Feb 2025
Beyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal Learning
Beyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal Learning
Minbo Ma
Kai Tang
Huan Li
Fei Teng
Dalin Zhang
Tianrui Li
AI4TS
44
0
0
24 Feb 2025
Time series forecasting based on optimized LLM for fault prediction in distribution power grid insulators
Time series forecasting based on optimized LLM for fault prediction in distribution power grid insulators
João Pedro Matos-Carvalho
Stefano Frizzo Stefenon
Valderi Reis Quietinho Leithardt
Kin-Choong Yow
AI4TS
43
0
0
24 Feb 2025
Strada-LLM: Graph LLM for traffic prediction
Strada-LLM: Graph LLM for traffic prediction
Seyed Mohamad Moghadas
Yangxintong Lyu
Bruno Cornelis
Alexandre Alahi
Adrian Munteanu
AI4TS
65
0
0
17 Feb 2025
Investigating Compositional Reasoning in Time Series Foundation Models
Willa Potosnak
Cristian Challu
Mononito Goswami
Kin G. Olivares
Michał Wiliński
Nina Żukowska
Artur Dubrawski
ReLM
AI4TS
LRM
53
0
0
09 Feb 2025
STAN: Smooth Transition Autoregressive Networks
STAN: Smooth Transition Autoregressive Networks
Hugo Inzirillo
Remi Genet
70
0
0
30 Jan 2025
An Investigation into Seasonal Variations in Energy Forecasting for Student Residences
An Investigation into Seasonal Variations in Energy Forecasting for Student Residences
Muhammad Umair Danish
Mathumitha Sureshkumar
Thanuri Fonseka
Umeshika Uthayakumar
Vinura Galwaduge
44
0
0
13 Jan 2025
AdaPRL: Adaptive Pairwise Regression Learning with Uncertainty Estimation for Universal Regression Tasks
AdaPRL: Adaptive Pairwise Regression Learning with Uncertainty Estimation for Universal Regression Tasks
Fuhang Liang
Rucong Xu
Deng Lin
OOD
38
0
0
10 Jan 2025
Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method
Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method
Daojun Liang
Haixia Zhang
Dongfeng Yuan
AI4TS
45
0
0
09 Jan 2025
TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis
TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis
Sabera Talukder
Yisong Yue
Georgia Gkioxari
AI4TS
53
13
0
03 Jan 2025
Disentangled Interpretable Representation for Efficient Long-term Time Series Forecasting
Disentangled Interpretable Representation for Efficient Long-term Time Series Forecasting
Yuang Zhao
Tianyu Li
Jiadong Chen
Shenrong Ye
Fuxin Jiang
Tieying Zhang
Xiaofeng Gao
AI4TS
248
0
0
26 Nov 2024
TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly Detection
Mengxuan Li
Ke Liu
Hongyang Chen
Jiajun Bu
Hongwei Wang
Haishuai Wang
AI4TS
96
1
0
18 Nov 2024
ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic
  Time-Series Transformer
ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer
Jiawen Zhang
Shun Zheng
Xumeng Wen
Xiaofang Zhou
Jiang Bian
Jiajun Li
AI4TS
44
3
0
04 Nov 2024
PSformer: Parameter-efficient Transformer with Segment Attention for Time Series Forecasting
PSformer: Parameter-efficient Transformer with Segment Attention for Time Series Forecasting
Yanlong Wang
Jinfeng Xu
Fei Ma
Shao-Lun Huang
Danny Dongning Sun
Xiao-Ping Zhang
AI4TS
45
1
0
03 Nov 2024
FACTS: A Factored State-Space Framework For World Modelling
FACTS: A Factored State-Space Framework For World Modelling
Li Nanbo
Firas Laakom
Yucheng Xu
Wenyi Wang
Jürgen Schmidhuber
AI4TS
226
0
0
28 Oct 2024
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
Shiyu Wang
Jiawei Li
Xiaoming Shi
Zhou Ye
Baichuan Mo
Wenze Lin
Shengtong Ju
Zhixuan Chu
Ming Jin
AI4TS
48
11
0
21 Oct 2024
UmambaTSF: A U-shaped Multi-Scale Long-Term Time Series Forecasting
  Method Using Mamba
UmambaTSF: A U-shaped Multi-Scale Long-Term Time Series Forecasting Method Using Mamba
Li Wu
Wenbin Pei
Jiulong Jiao
Qiang Zhang
Mamba
AI4TS
38
2
0
15 Oct 2024
Active Learning of Robot Vision Using Adaptive Path Planning
Active Learning of Robot Vision Using Adaptive Path Planning
Julius Ruckin
Federico Magistri
Cyrill Stachniss
Marija Popović
SSL
31
0
0
14 Oct 2024
Towards Generalisable Time Series Understanding Across Domains
Towards Generalisable Time Series Understanding Across Domains
Özgün Turgut
Philip Muller
M. Menten
Daniel Rueckert
AI4TS
53
1
0
09 Oct 2024
FAN: Fourier Analysis Networks
FAN: Fourier Analysis Networks
Yihong Dong
Ge Li
Yongding Tao
Xue Jiang
Kechi Zhang
Jia Li
Jing Su
Jing Su
Jun Zhang
Jingjing Xu
AI4TS
23
4
0
03 Oct 2024
Using dynamic loss weighting to boost improvements in forecast stability
Using dynamic loss weighting to boost improvements in forecast stability
Daan Caljon
Jeff Vercauteren
Simon De Vos
Wouter Verbeke
Jente Van Belle
42
0
0
26 Sep 2024
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
Xiaoming Shi
Shiyu Wang
Yuqi Nie
Dianqi Li
Zhou Ye
Qingsong Wen
Ming Jin
AI4TS
48
32
0
24 Sep 2024
Zero-shot forecasting of chaotic systems
Zero-shot forecasting of chaotic systems
Yuanzhao Zhang
William Gilpin
AI4TS
42
6
0
24 Sep 2024
A Gated Residual Kolmogorov-Arnold Networks for Mixtures of Experts
A Gated Residual Kolmogorov-Arnold Networks for Mixtures of Experts
Hugo Inzirillo
Remi Genet
MoE
38
4
0
23 Sep 2024
Machine Learning for Predicting Chaotic Systems
Machine Learning for Predicting Chaotic Systems
Christof Schötz
Alistair J R White
Maximilian Gelbrecht
Niklas Boers
AI4CE
41
4
0
29 Jul 2024
Lag Selection for Univariate Time Series Forecasting using Deep
  Learning: An Empirical Study
Lag Selection for Univariate Time Series Forecasting using Deep Learning: An Empirical Study
José Leites
Vítor Cerqueira
Carlos Soares
AI4TS
48
2
0
18 May 2024
WEITS: A Wavelet-enhanced residual framework for interpretable time
  series forecasting
WEITS: A Wavelet-enhanced residual framework for interpretable time series forecasting
Ziyou Guo
Yan Sun
Tieru Wu
AI4TS
40
2
0
17 May 2024
LaT-PFN: A Joint Embedding Predictive Architecture for In-context
  Time-series Forecasting
LaT-PFN: A Joint Embedding Predictive Architecture for In-context Time-series Forecasting
Stijn Verdenius
Andrea Zerio
Roy L.M. Wang
BDL
AI4TS
AI4CE
36
2
0
16 May 2024
Data Augmentation Policy Search for Long-Term Forecasting
Data Augmentation Policy Search for Long-Term Forecasting
Liran Nochumsohn
Omri Azencot
AI4TS
TPM
48
3
0
01 May 2024
Any-Quantile Probabilistic Forecasting of Short-Term Electricity Demand
Any-Quantile Probabilistic Forecasting of Short-Term Electricity Demand
Slawek Smyl
Boris N. Oreshkin
Paweł Pełka
Grzegorz Dudek
AI4TS
40
0
0
26 Apr 2024
Designing forecasting software for forecast users: Empowering
  non-experts to create and understand their own forecasts
Designing forecasting software for forecast users: Empowering non-experts to create and understand their own forecasts
Richard Stromer
Oskar Triebe
Chad Zanocco
Ram Rajagopal
AI4TS
22
0
0
22 Apr 2024
ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time
  Series Forecasting
ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting
Hengyu Ye
Jiadong Chen
Shijin Gong
Fuxin Jiang
Tieying Zhang
Jianjun Chen
Xiaofeng Gao
AI4TS
37
3
0
08 Apr 2024
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning
Peiyuan Liu
Hang Guo
Tao Dai
Naiqi Li
Jigang Bao
Xudong Ren
Yong Jiang
Shu-Tao Xia
AI4TS
70
18
0
12 Mar 2024
Probing the Robustness of Time-series Forecasting Models with
  CounterfacTS
Probing the Robustness of Time-series Forecasting Models with CounterfacTS
Haakon Hanisch Kjaernli
Lluis Mas-Ribas
Aida Ashrafi
Gleb Sizov
Helge Langseth
Odd Erik Gundersen
AI4TS
36
0
0
06 Mar 2024
1234
Next