"time series analysis" Papers
28 papers found
Conference
Breakthrough Sensor-Limited Single View: Towards Implicit Temporal Dynamics for Time Series Domain Adaptation
Mingyang Liu, Xinyang Chen, Xiucheng Li et al.
Bridging Time and Linguistics: LLMs as Time Series Analyzer through Symbolization and Segmentation
Jianyang Qin, Chaoyang Li, Jinhao Cui et al.
ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data
Chengsen Wang, Qi Qi, Jingyu Wang et al.
Differentiable Rule Induction from Raw Sequence Inputs
Kun Gao, Katsumi Inoue, Yongzhi Cao et al.
DyCAST: Learning Dynamic Causal Structure from Time Series
Yue Cheng, Bochen Lyu, Weiwei Xing et al.
Efficient Time Series Processing for Transformers and State-Space Models through Token Merging
Leon Götz, Marcel Kollovieh, Stephan Günnemann et al.
Identifiability for Gaussian Processes with Holomorphic Kernels
Ameer Qaqish, Didong Li
In-Context Learning of Stochastic Differential Equations with Foundation Inference Models
Patrick Seifner, Kostadin Cvejoski, David Berghaus et al.
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data
Manuel Brenner, Elias Weber, Georgia Koppe et al.
Modeling Latent Non-Linear Dynamical System over Time Series
Ren Fujiwara, Yasuko Matsubara, Yasushi Sakurai
MoFo: Empowering Long-term Time Series Forecasting with Periodic Pattern Modeling
Jiaming Ma, Binwu Wang, Qihe Huang et al.
NoBOOM: Chemical Process Datasets for Industrial Anomaly Detection
Dennis Wagner, Fabian Hartung, Justus Arweiler et al.
Real-Time Calibration Model for Low-Cost Sensor in Fine-Grained Time Series
Seokho Ahn, Hyungjin Kim, Sungbok Shin et al.
Specialized Foundation Models Struggle to Beat Supervised Baselines
Zongzhe Xu, Ritvik Gupta, Wenduo Cheng et al.
Synthetic Series-Symbol Data Generation for Time Series Foundation Models
Wenxuan Wang, Kai Wu, yujian li et al.
Training-free LLM-generated Text Detection by Mining Token Probability Sequences
Yihuai Xu, Yongwei Wang, YIFEI BI et al.
Unified Transferability Metrics for Time Series Foundation Models
Weiyang Zhang, Xinyang Chen, Xiucheng Li et al.
An Unsupervised Approach for Periodic Source Detection in Time Series
Berken Utku Demirel, Christian Holz
From Generalization Analysis to Optimization Designs for State Space Models
Fusheng Liu, Qianxiao Li
Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling
Ivan Marisca, Cesare Alippi, Filippo Maria Bianchi
Learning Causal Relations from Subsampled Time Series with Two Time-Slices
Anpeng Wu, Haoxuan Li, Kun Kuang et al.
MOMENT: A Family of Open Time-series Foundation Models
Mononito Goswami, Konrad Szafer, Arjun Choudhry et al.
Out-of-Domain Generalization in Dynamical Systems Reconstruction
Niclas Göring, Florian Hess, Manuel Brenner et al.
Position: What Can Large Language Models Tell Us about Time Series Analysis
Ming Jin, Yi-Fan Zhang, Wei Chen et al.
Sample Average Approximation for Conditional Stochastic Optimization with Dependent Data
Yafei Wang, Bo Pan, Mei Li et al.
Sequential Disentanglement by Extracting Static Information From A Single Sequence Element
Nimrod Berman, Ilan Naiman, Idan Arbiv et al.
SiBBlInGS: Similarity-driven Building-Block Inference using Graphs across States
Noga Mudrik, Gal Mishne, Adam Charles
Timer: Generative Pre-trained Transformers Are Large Time Series Models
Yong Liu, Haoran Zhang, Chenyu Li et al.