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

Boris N. Oreshkin
Dmitri Carpov
Nicolas Chapados
Yoshua Bengio
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Papers citing "N-BEATS: Neural basis expansion analysis for interpretable time series forecasting"

50 / 474 papers shown
Title
EXPRTS: Exploring and Probing the Robustness of Time Series Forecasting Models
EXPRTS: Exploring and Probing the Robustness of Time Series Forecasting Models
Haakon Hanisch Kjaernli
Lluis Mas-Ribas
Hans Jakob Håland
Gleb Sizov
Aida Ashrafi
Helge Langseth
Odd Erik Gundersen
AI4TS
132
0
0
01 Jul 2025
Multi-Scale Finetuning for Encoder-based Time Series Foundation Models
Multi-Scale Finetuning for Encoder-based Time Series Foundation Models
Zhongzheng Qiao
Chenghao Liu
Y. Zhang
Ming Jin
Quang Pham
Qingsong Wen
P.N. Suganthan
Xudong Jiang
Savitha Ramasamy
AI4TSAI4CE
25
0
0
17 Jun 2025
SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting
SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting
Yitian Zhang
Liheng Ma
Antonios Valkanas
Boris N. Oreshkin
Mark Coates
AI4TS
48
0
0
17 Jun 2025
Forecast-Then-Optimize Deep Learning Methods
Forecast-Then-Optimize Deep Learning Methods
Jinhang Jiang
Nan Wu
Ben Liu
Mei Feng
Xin Ji
Karthik Srinivasan
AI4TS
39
0
0
16 Jun 2025
CoIFNet: A Unified Framework for Multivariate Time Series Forecasting with Missing Values
CoIFNet: A Unified Framework for Multivariate Time Series Forecasting with Missing Values
Kai Tang
Ji Zhang
Hua Meng
Minbo Ma
Qi Xiong
Jie Xu
Tianrui Li
Tianrui Li
AI4TS
40
0
0
16 Jun 2025
A Review of the Long Horizon Forecasting Problem in Time Series Analysis
A Review of the Long Horizon Forecasting Problem in Time Series Analysis
Hans Krupakar
Kandappan V A
AI4TS
22
0
0
15 Jun 2025
KARMA: A Multilevel Decomposition Hybrid Mamba Framework for Multivariate Long-Term Time Series Forecasting
Hang Ye
Gaoxiang Duan
Haoran Zeng
Yangxin Zhu
Lingxue Meng
Xiaoying Zheng
Yongxin Zhu
AI4TS
36
0
0
10 Jun 2025
MIRA: Medical Time Series Foundation Model for Real-World Health Data
MIRA: Medical Time Series Foundation Model for Real-World Health Data
Hao Li
Bowen Deng
Chang Xu
Zhiyuan Feng
Viktor Schlegel
...
Yizheng Sun
Jingyuan Sun
Kailai Yang
Yiyao Yu
Jiang Bian
AI4TSOODAI4CE
62
0
0
09 Jun 2025
LETS Forecast: Learning Embedology for Time Series Forecasting
LETS Forecast: Learning Embedology for Time Series Forecasting
Abrar Majeedi
Viswanatha Reddy Gajjala
Satya Sai Srinath Namburi Gnvv
Nada Magdi Elkordi
Yin Li
AI4TS
34
0
0
06 Jun 2025
The cost of ensembling: is it always worth combining?
The cost of ensembling: is it always worth combining?
Marco Zanotti
AI4TS
167
1
0
05 Jun 2025
Zero-Shot Time Series Forecasting with Covariates via In-Context Learning
Zero-Shot Time Series Forecasting with Covariates via In-Context Learning
Andreas Auer
Raghul Parthipan
Pedro Mercado
Abdul Fatir Ansari
Lorenzo Stella
Bernie Wang
Michael Bohlke-Schneider
Syama Sundar Rangapuram
AI4TS
67
0
0
03 Jun 2025
Dynamic Modes as Time Representation for Spatiotemporal Forecasting
Dynamic Modes as Time Representation for Spatiotemporal Forecasting
Menglin Kong
Vincent Zhihao Zheng
Xudong Wang
Lijun Sun
AI4TS
36
0
0
01 Jun 2025
Probabilistic Forecasting for Building Energy Systems using Time-Series Foundation Models
Probabilistic Forecasting for Building Energy Systems using Time-Series Foundation Models
Young-Jin Park
François Germain
Jing Liu
Ye Wang
T. Koike-Akino
Gordon Wichern
Navid Azizan
C. Laughman
Ankush Chakrabarty
AI4TSAI4CE
42
0
0
31 May 2025
Generalisation Bounds of Zero-Shot Economic Forecasting using Time Series Foundation Models
Generalisation Bounds of Zero-Shot Economic Forecasting using Time Series Foundation Models
Jittarin Jetwiriyanon
Teo Susnjak
Surangika Ranathunga
AI4TS
17
0
0
30 May 2025
TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning
TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning
Andreas Auer
Patrick Podest
Daniel Klotz
Sebastian Böck
Günter Klambauer
Sepp Hochreiter
AI4TS
25
0
0
29 May 2025
Improving Time Series Forecasting via Instance-aware Post-hoc Revision
Improving Time Series Forecasting via Instance-aware Post-hoc Revision
Zhiding Liu
Mingyue Cheng
Guanhao Zhao
Jiqian Yang
Qi Liu
Enhong Chen
AI4TS
38
0
0
29 May 2025
Mamba Integrated with Physics Principles Masters Long-term Chaotic System Forecasting
Mamba Integrated with Physics Principles Masters Long-term Chaotic System Forecasting
Chang Liu
Bohao Zhao
Jingtao Ding
Huandong Wang
Yong Li
MambaAI4CE
38
0
0
29 May 2025
Forecasting Multivariate Urban Data via Decomposition and Spatio-Temporal Graph Analysis
Forecasting Multivariate Urban Data via Decomposition and Spatio-Temporal Graph Analysis
Amirhossein Sohrabbeig
Omid Ardakanian
Petr Musilek
AI4TSAI4CE
31
0
0
28 May 2025
CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial Correlations
CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial Correlations
Haotian Si
Changhua Pei
Jianhui Li
Dan Pei
Gaogang Xie
AI4TS
22
0
0
25 May 2025
Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model
Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model
Xue Wang
Tian Zhou
Jinyang Gao
Bolin Ding
Jingren Zhou
AI4TSAI4CELRM
19
0
0
20 May 2025
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
58
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
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ViTAI4TS
54
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
60
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 Wang
Yisheng Lv
AI4TS
100
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
58
0
0
13 May 2025
DELPHYNE: A Pre-Trained Model for General and Financial Time Series
DELPHYNE: A Pre-Trained Model for General and Financial Time Series
Xueying Ding
Aakriti Mittal
Achintya Gopal
AI4TS
26
0
0
12 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
62
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
112
1
0
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On the retraining frequency of global forecasting models
On the retraining frequency of global forecasting models
Marco Zanotti
85
2
0
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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
110
1
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
197
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
104
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
Miruna Oprescu
Shinjae Yoo
AI4TS
62
0
0
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Bidirectional Linear Recurrent Models for Sequence-Level Multisource Fusion
Bidirectional Linear Recurrent Models for Sequence-Level Multisource Fusion
Qisai Liu
Zhanhong Jiang
Joshua R. Waite
Chao Liu
Aditya Balu
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57
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Forecasting Cryptocurrency Prices using Contextual ES-adRNN with Exogenous Variables
Forecasting Cryptocurrency Prices using Contextual ES-adRNN with Exogenous Variables
Slawek Smyl
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AI4TS
79
1
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Enhancing Time Series Forecasting via Multi-Level Text Alignment with LLMs
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Taibiao Zhao
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127
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ms-Mamba: Multi-scale Mamba for Time-Series Forecasting
ms-Mamba: Multi-scale Mamba for Time-Series Forecasting
Yusuf Meric Karadag
Sinan Kalkan
Ipek Gursel Dino
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Foundation Models for Time Series: A Survey
Foundation Models for Time Series: A Survey
Siva Rama Krishna Kottapalli
Karthik Hubli
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Garima Jain
Sunayana Hubli
Gayathri Botla
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AI4TSAI4CE
120
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A Prefixed Patch Time Series Transformer for Two-Point Boundary Value Problems in Three-Body Problems
A Prefixed Patch Time Series Transformer for Two-Point Boundary Value Problems in Three-Body Problems
Akira Hatakeyama
Shota Ito
Toshihiko Yanase
Naoya Ozaki
134
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Times2D: Multi-Period Decomposition and Derivative Mapping for General Time Series Forecasting
Times2D: Multi-Period Decomposition and Derivative Mapping for General Time Series Forecasting
Reza Nematirad
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AI4TS
72
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CITRAS: Covariate-Informed Transformer for Time Series Forecasting
CITRAS: Covariate-Informed Transformer for Time Series Forecasting
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Issei Suemitsu
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AI4TS
111
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ModelRadar: Aspect-based Forecast Evaluation
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Luis Roque
Carlos Soares
190
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Dual-Splitting Conformal Prediction for Multi-Step Time Series Forecasting
Dual-Splitting Conformal Prediction for Multi-Step Time Series Forecasting
Qingdi Yu
Zhiwei Cao
R. Wang
Zhen Yang
Lijun Deng
Min Hu
Yong Luo
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AI4TS
136
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Addressing Challenges in Time Series Forecasting: A Comprehensive Comparison of Machine Learning Techniques
Addressing Challenges in Time Series Forecasting: A Comprehensive Comparison of Machine Learning Techniques
Seyedeh Azadeh Fallah Mortezanejad
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AI4TS
121
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UniEDU: A Unified Language and Vision Assistant for Education Applications
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Jian Xie
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TRACE: Time SeRies PArameter EffiCient FinE-tuning
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AI4TS
251
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Temporal Encoding Strategies for Energy Time Series Prediction
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Aayam Bansal
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AI4TS
71
0
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TimeFound: A Foundation Model for Time Series Forecasting
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Yixiong Xiao
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AI4TS
94
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BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling
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