Poster "time series analysis" Papers
16 papers found
Conference
Differentiable Rule Induction from Raw Sequence Inputs
Kun Gao, Katsumi Inoue, Yongzhi Cao et al.
ICLR 2025
2
citations
Efficient Time Series Processing for Transformers and State-Space Models through Token Merging
Leon Götz, Marcel Kollovieh, Stephan Günnemann et al.
ICML 2025arXiv:2405.17951
5
citations
Identifiability for Gaussian Processes with Holomorphic Kernels
Ameer Qaqish, Didong Li
ICLR 2025
In-Context Learning of Stochastic Differential Equations with Foundation Inference Models
Patrick Seifner, Kostadin Cvejoski, David Berghaus et al.
NEURIPS 2025arXiv:2502.19049
5
citations
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data
Manuel Brenner, Elias Weber, Georgia Koppe et al.
ICLR 2025arXiv:2410.04814
17
citations
MoFo: Empowering Long-term Time Series Forecasting with Periodic Pattern Modeling
Jiaming Ma, Binwu Wang, Qihe Huang et al.
NEURIPS 2025
NoBOOM: Chemical Process Datasets for Industrial Anomaly Detection
Dennis Wagner, Fabian Hartung, Justus Arweiler et al.
NEURIPS 2025
Specialized Foundation Models Struggle to Beat Supervised Baselines
Zongzhe Xu, Ritvik Gupta, Wenduo Cheng et al.
ICLR 2025arXiv:2411.02796
24
citations
Synthetic Series-Symbol Data Generation for Time Series Foundation Models
Wenxuan Wang, Kai Wu, yujian li et al.
NEURIPS 2025arXiv:2510.08445
An Unsupervised Approach for Periodic Source Detection in Time Series
Berken Utku Demirel, Christian Holz
ICML 2024arXiv:2406.00566
3
citations
MOMENT: A Family of Open Time-series Foundation Models
Mononito Goswami, Konrad Szafer, Arjun Choudhry et al.
ICML 2024arXiv:2402.03885
354
citations
Out-of-Domain Generalization in Dynamical Systems Reconstruction
Niclas Göring, Florian Hess, Manuel Brenner et al.
ICML 2024arXiv:2402.18377
26
citations
Position: What Can Large Language Models Tell Us about Time Series Analysis
Ming Jin, Yi-Fan Zhang, Wei Chen et al.
ICML 2024arXiv:2402.02713
56
citations
Sample Average Approximation for Conditional Stochastic Optimization with Dependent Data
Yafei Wang, Bo Pan, Mei Li et al.
ICML 2024
Sequential Disentanglement by Extracting Static Information From A Single Sequence Element
Nimrod Berman, Ilan Naiman, Idan Arbiv et al.
ICML 2024arXiv:2406.18131
9
citations
Timer: Generative Pre-trained Transformers Are Large Time Series Models
Yong Liu, Haoran Zhang, Chenyu Li et al.
ICML 2024arXiv:2402.02368
148
citations