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arXivTime series foundation models

Kronos: A Foundation Model for the Language of Financial Markets

Kronos pre-trains a financial time-series foundation model on 12 billion K-line records via specialized tokenization, achieving major gains in zero-shot forecasting, volatility prediction, and synthetic data generation.

Yu Shi, Zongliang Fu, Shuo Chen, Bohan Zhao and 3 more

Published Aug 2, 2025 · ▲ 58 on Hugging Face · Code ★ 40,075

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NeurIPS 2026InhaTime series foundation models

Tokenization and Architecture Jointly Allocate Component Roles in Time Series Transformers

Mingyu Kim, Doguk Kim

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026EmotivEmotiv LtdMonash universityMonashEmotiv Research Pty LtdTime series foundation models

EEG-X: Toward Device-Agnostic and Noise-Robust Foundation Models for EEG

Navid Mohammadi Foumani, Soheila Ghane, Nam Nguyen, Mahsa Salehi and 2 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026HanyangHanyang UniverstyTime series foundation models

SPERA: Spherical Prior EEG Foundation Model with Geometry- and Frequency-Aware Latent Prediction

Minsu Kim, Ye-Sung Kim, Hyeseong Jeon, Wooseok Hyung and 2 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Ben-Gurion University of the NegTime series foundation models

Closing the Loop: Co-Evolving EM for Irregular Time Series Generation in Lifted Representations

Idan Arbiv, Gal Fadlon, Omri Azencot

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Beijing Institute of TechnologyTsinghuaHunancomputer science, TsinghuaInstitute of Microelectronics ofTime series foundation models

Observations Drift, Structures Remain: Structural Pretraining with Time Alignment for Electromagnetic Signals

Wenjin Gui, Junyu Shen, Haibo Xu, Yuchuang Sun and 6 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Georgia Institute of TechnologyCodewayEmoryTime series foundation models

Cylindrical Geodesic Flow Matching for Quasiperiodic Physiological Signal Transformation

Onur Selim Kilic, Afra Nawar, Cem O Yaldiz, Michael J Cho and 5 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Renmin University of ChinaTsinghuaLazadaTime series foundation models

Bridging Diffusion and Autoregression for Flexible Time Series Synthesis

Xin Wang, Xuan Zhang, Haipeng Zhang, Chunyu Wei and 1 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Department of Computer Science, Department of Computer Science, Time series foundation models

Temporal-Scale Sensitivity in Time-Series Tokenization and Scale-Robust Token Estimation by Gated Sum

Berken Utku Demirel, Christian Holz

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026Shanghai Jiao TongShanghai JiaotongU North Carolina at Chapel HillU North Carolina, Chapel HillTime series foundation models

Vibe-Spike: An Energy-Preserving EEG Foundation Model Through the Landscape of Neural Coherence

Jun Ye, yuting li, Tingting Dan, Guorong Wu

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026Origin AIOrigin WirelessOrigin ResearchOrigin Research Origin Wireless AITime series foundation models

AmbientFM: A Foundation Model for Ambient Sensing

Guozhen Zhu, Yuqian Hu, Sakila S Jayaweera, Wei-Hsiang Wang and 5 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026Nanyang TechnologicalMeituanTU Berlin / BIFOLDSoutheastTime series foundation models

Process-conditioned Pretraining with Topographic Spatial Retrieval for Large EEG Models

Yi Ding, Muyun Jiang, Weibang Jiang, Shuailei Zhang and 5 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026U Illinois, Urbana-ChampaignBetterdataSingapore University of TechnoloNational University of SingaporeTime series foundation models

FracTS: Hierarchical and Autoregressive Time Series Generation

Jiayu Li, Umair Afzal, Zilong Zhao, Milad Abdollahzadeh and 2 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026The University of Texas at AustiUT AustinU Texas at AustinThe University of Texas, AustinTime series foundation models

TSFM Meets LLM: Context as Covariate

Hemanth Ram Govindarajan Kirubaharan, Sai Shankar Narasimhan, Shubhankar Agarwal, Sandeep Chinchali

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026ETH ZürichMassachusetts Institute of TechnKU LeuvenMITTechnion - Israel Institute of TTime series foundation models

PhyTS: A Benchmark for Scientific Time Series

Benedict Armstrong, Jeroen Audenaert, Hannah P Binney, Alice Cheng and 22 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026AbridgeAmherst CollegeKeiji AITime series foundation models

What Does an Observability Forecasting Foundation Model Know?

Dhyey Mavani, Tairan Ji, Rian Atri

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026ShanghaiTechAlibaba GroupAnt GroupAntGroupTime series foundation models

Kairos: Toward Adaptive and Parameter-Efficient Time Series Foundation Models

Kun Feng, Shaocheng Lan, Yuchen Fang, Wenchao He and 5 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Imperial College London / CogitaImperial college LondonImperial College LondonU Athens & Archimedes AI, AtDepartment of Computing, ImperiaTime series foundation models

NeuroRVQ: Multi-Scale Biosignal Tokenization for Generative Foundation Models

NeuroRVQ uses multi-scale temporal convolutions and hierarchical RVQ codebooks with a phase-aware loss to tokenize biosignals at high fidelity across modalities. NeuroRVQ-FM foundation models using these tokenizers achieve competitive or superior downstream performance, showing that high-fidelity to

Konstantinos Barmpas, Na Lee, Dimitrios Chalatsis, William Raftery and 6 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 9 of 20 reviewers recommend it
lenient 5/5
medium 4/10
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NeurIPS 2026U Illinois Urbana-ChampaignMicrosoft ResearchGriffithDatadogMicrosoftTime series foundation models

OATS: Online Data Augmentation for Time Series Foundation Models

OATS dynamically generates training-stage-specific synthetic data guided by valuable samples via diffusion, consistently outperforming static augmentation for time series foundation models.

Junwei Deng, Chang Xu, Jiaqi Ma, Ming Jin and 4 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AI panel: 8 of 20 reviewers recommend it
lenient 4/5
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78%Highly rated
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NeurIPS 2026U HoustonTime series foundation models

Calibrating Scientific Foundation Models with Inference-Time Stochastic Attention

Stochastic Attention randomizes attention weights at inference to generate calibrated predictive ensembles without retraining, achieving best native calibration with minimal tuning cost.

Akash Yadav, Taiwo Adebiyi, Ruda Zhang

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 11 of 20 reviewers recommend it
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