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qHuBERT: Quantized Model for ECG Classification
Tushar Shinde, Sudhanshu Gaurhar, Anil Kumar Tiwari
- Published: 23 Sept 2025, Last Modified: 18 Nov 2025
- BERT2S
- Readers: Everyone
OATS: Online Data Augmentation for Time Series Foundation Models
Junwei Deng, Chang Xu, Jiaqi W. Ma, Jiang Bian
- Published: 23 Sept 2025, Last Modified: 05 Nov 2025
- BERT2S
- Readers: Everyone
TempusBench: An Evaluation Framework for Time-Series Forecasting
Denizalp Goktas, Gerardo Riano-Briceno, Alif Abdullah, Aryan Nair, Chenkai Shen, Beatriz de Lucio, Alexandra Magnusson, Farhan Mashrur, Ahmed Abdulla, Shawrna Rani Sen, Mahitha Thippireddy, Gregory E. Schwartz, Amy Greenwald
- Published: 23 Sept 2025, Last Modified: 07 Nov 2025
- BERT2S
- Readers: Everyone
Adaptive Regime-Switching Forecasts with Distribution-Free Uncertainty: Deep Switching State-Space Models Meet Conformal Prediction
Echo Diyun Lu, Charles SM Findling, Marianne Clausel, Alessandro Leite, Wei Gong, Pierric Kersaudy
- Published: 23 Sept 2025, Last Modified: 07 Nov 2025
- BERT2S
- Readers: Everyone
Zero-shot forecasting of epidemics
Madhurima Panja, Ojas Modak, Grace Younes, Tanujit Chakraborty
- Published: 23 Sept 2025, Last Modified: 02 Nov 2025
- BERT2S
- Readers: Everyone
Linear Regression as a Litmus Test for Time Series Forecasting Benchmarks
Walid Bouainouche, Gabriel Singer, Vasilii Feofanov, Ievgen Redko
- Published: 23 Sept 2025, Last Modified: 07 Nov 2025
- BERT2S
- Readers: Everyone
Leveraging Generic Time Series Foundation Models for EEG Classification
Theo Gnassounou, Yessin Moakher, Shifeng Xie, Vasilii Feofanov, Ievgen Redko
- Published: 23 Sept 2025, Last Modified: 07 Nov 2025
- BERT2S
- Readers: Everyone
Goal-Oriented Time-Series Forecasting: Foundation Framework Design
Luca-Andrei Fechete, Mohamed SANA, Fadhel Ayed, Nicola Piovesan, Wenjie Li, Antonio De Domenico, Tareq Si Salem
- Published: 23 Sept 2025, Last Modified: 20 Nov 2025
- BERT2S
- Readers: Everyone
On the Internal Semantics of Time-Series Foundation Models
Atharva Pandey, Abhilash Neog, Gautam Jajoo
- Published: 23 Sept 2025, Last Modified: 08 Nov 2025
- BERT2S
- Readers: Everyone
Zero-to-Forecast: Natural Language to Time Series Prediction via Cross-Modal Ensembles
Gokul Srinath Seetha Ram
- Published: 23 Sept 2025, Last Modified: 07 Nov 2025
- BERT2S
- Readers: Everyone
FlowState: Sampling-Rate Invariant Time Series Foundation Model with Dynamic Forecasting Horizons
Lars Graf, Thomas Ortner, Stanisław Woźniak, Angeliki Pantazi
- Published: 23 Sept 2025, Last Modified: 12 Nov 2025
- BERT2S
- Readers: Everyone
HORIZON: A Benchmark for In-the-wild User Behaviour Modeling
Arnav Goel, Pranjal A Chitale, Bhawna Paliwal, Bishal Santra, Amit Sharma
- Published: 23 Sept 2025, Last Modified: 08 Nov 2025
- BERT2S
- Readers: Everyone
TimeCopilot
Azul Garza, Renee Rosillo Garcia
- Published: 23 Sept 2025, Last Modified: 07 Nov 2025
- BERT2S
- Readers: Everyone
LTSM-Bundle: A Toolbox and Benchmark on Large Language Models for Time Series Forecasting
Yu-Neng Chuang, Songchen Li, Jiayi Yuan, Guanchu Wang, Kwei-Herng Lai, Joshua Han, Zihang Xu, Songyuan Sui, Leisheng Yu, Sirui Ding, Chia-Yuan Chang, Alfredo Costilla Reyes, Daochen Zha, Xia Hu
- Published: 23 Sept 2025, Last Modified: 02 Nov 2025
- BERT2S
- Readers: Everyone
Zero Shot Time Series Forecasting: Do Time Series FMs Outperform Cross Modal FMs?
Md Younus Ahamed, Md Asif Bin Syed
- Published: 23 Sept 2025, Last Modified: 08 Nov 2025
- BERT2S
- Readers: Everyone
TimeSeriesExamAgent: Creating TimeSeries Reasoning Benchmarks at Scale
Malgorzata Gwiazda, Yifu Cai, Mononito Goswami, Artur Dubrawski
- Published: 23 Sept 2025, Last Modified: 07 Nov 2025
- BERT2S
- Readers: Everyone
LLM-Integrated Bayesian State Space Models for Multimodal Time-Series Forecasting
Sungjun Cho, Changho Shin, Suenggwan Jo, Xinya Yan, Shourjo Aditya Chaudhuri, Frederic Sala
- Published: 23 Sept 2025, Last Modified: 11 Nov 2025
- BERT2S
- Readers: Everyone
FMTK: A Modular Toolkit for Composable Time Series Foundation Model Pipelines
Hetvi Shastri, Pragya Sharma, Walid A. Hanafy, Mani Srivastava, Prashant Shenoy
- Published: 23 Sept 2025, Last Modified: 05 Nov 2025
- BERT2S
- Readers: Everyone
TimeSqueeze: Dynamic Patching for Efficient Time Series Forecasting
Sravan Kumar Ankireddy, Nikita Seleznev, Nam H Nguyen, Yulun Wu, Senthil Kumar, Furong Huang, C. Bayan Bruss
- Published: 23 Sept 2025, Last Modified: 18 Oct 2025
- BERT2S
- Readers: Everyone
Frequency Matters: When Time Series Foundation Models Fail Under Spectral Shift
Tianze Wang, Sofiane ENNADIR, John Pertoft, Gabriela Zarzar Gandler, Lele Cao, Zineb Senane, Styliani Katsarou, Sahar Asadi, Axel Karlsson, Oleg Smirnov
- Published: 23 Sept 2025, Last Modified: 05 Nov 2025
- BERT2S
- Readers: Everyone
Time Series Representations for Classification Lie Hidden in Pretrained Vision Transformers
Simon Roschmann, Quentin Bouniot, Zeynep Akata
- Published: 23 Sept 2025, Last Modified: 07 Nov 2025
- BERT2S
- Readers: Everyone
Adaptive Refinement of Time Series Foundation Models via Pattern and Context-Awareness
Ashish Mishra, Tarun Kumar, Satish Kumar Mopur, Sergey Serebryakov, Suparna Bhattacharya, Martin Foltin, Ramanagopal Vogety, Phanidhar Koganti
- Published: 23 Sept 2025, Last Modified: 13 Nov 2025
- BERT2S
- Readers: Everyone
CHRONOGRAPH: A Real-World Graph-Based Multivariate Time Series Dataset
Luțu Adrian-Cătălin, Ioana Pintilie, Elena Burceanu, Andrei Manolache
- Published: 23 Sept 2025, Last Modified: 26 Nov 2025
- BERT2S
- Readers: Everyone
A More Realistic Evaluation of Cross-Frequency Transfer Learning and Foundation Forecasting Models
Kin G. Olivares, Malcolm Wolff, Tatiana Konstantinova, Shankar Ramasubramanian, Boris N. Oreshkin, Andrew Gordon Wilson, Andres Potapczynski, Willa Potosnak, Michael W. Mahoney, Mengfei Cao, Dmitry Efimov
- Published: 23 Sept 2025, Last Modified: 19 Nov 2025
- BERT2S
- Readers: Everyone
TimeMaster: Training Time-Series Multimodal LLMs to Reason via Reinforcement Learning
Junru Zhang, Lang Feng, Xu Guo, Yuhan Wu, Yabo Dong, Duanqing Xu
- Published: 23 Sept 2025, Last Modified: 07 Nov 2025
- BERT2S
- Readers: Everyone

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