Time Series Foundation Models

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Period ending 2026-09-14

4 new papers

A weekly snapshot of new work published in Time Series Foundation Models.

Period ending 2026-09-07

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A weekly snapshot of new work published in Time Series Foundation Models.

103 papers

Latest in Time Series Foundation Models

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SPEAR NeXT Causal Latent Forecasting Across Multiple Horizons for Spectral Temporal Earth Representation Learning
Sep 15, 2026Rajiv Ranjan, Udaiveer Singh, Shashank Tamaskar +1Spatio-Temporal Forecasting Time Series Foundation Models
SOTER: A Generative Time-Series Foundation Model for Wearable Human Physiological Signals
Sep 15, 2026Fangke Chen, Sirry Chen, Wei Chen +1Physiological Signals Time Series Foundation Models
Evaluating Time-Series Foundation Models and Multimodal Dietary Context for CGM Forecasting
Sep 11, 2026Bowen Zhang, Hsiu-Wen Cheng, Hongyu Yang +9Continuous Glucose Monitoring Time Series Foundation Models
A Later Test Set Is Not a New Domain: Pretraining Familiarity Survives a Contamination-Free Hold-Out
Sep 9, 2026Mahdi Naser Moghadasi, Faezeh GhaderiTime Series Foundation Models Model Pretraining
Distillation of Synthetic Data for Time Series Foundation Models
Sep 9, 2026Niloy Biswas, Noureddine El KarouiTime Series Foundation Models Synthetic Data
IPM-FM: A Foundation Model with Consensus Feature Selection for Industrial Process Monitoring
Sep 8, 2026Liang Cao, Weide Liu, Yan Qin +3Predictive Maintenance Time Series Foundation Models
Foundation models for electricity price forecasting and battery arbitrage: Can they replace market-specific forecasting models?
Aug 31, 2026Arkadiusz Lipiecki, Rafał WeronEnergy Forecasting Time Series Foundation Models
When the Martingale Never Stops Firing: Anytime-Valid Gating on Real Forecast Streams
Aug 31, 2026Weijia Han, Lisha QuConformal Test Martingales Bayesian Filtering
Into the ORBIT for Time Series: Training Regimes for Foundation Models
Aug 13, 2026Hongjie Xia, Yiding Liu, Yifan Hu +2Time Series Foundation Models Zero-Shot Forecasting
LabelFusion-TS: Fusing Large Language Models, Transformer Encoders, and Financial Time Series for Monetary-Policy Stance Classification
Aug 12, 2026Michael Schlee, Fabian Lukassen, Christoph WeisserFinancial Sentiment Analysis Time Series Foundation Models
Long-Horizon Forecasting of Complete Financial Statements with Forma
Aug 11, 2026Travis L. Johnson, Jiannan Jiang, Soumyabrata Chaudhuri +3Load Forecasting Long-Horizon Forecasting
Hybrid Neural-Classical Correction for Frozen Time Series Foundation Models: A Comprehensive Ablation Study on High-Frequency Stock Prediction
Aug 9, 2026Kasun Dewage, Suranadi De Silva, Shankhadeep MondalTime Series Foundation Models Arbitrage
Ground-Truth Neighborhood Regularization for Reinforcement Learning Post-Training of Time Series Foundation Models
Aug 8, 2026Jianqi Zhang, Xingyu Zhang, Zeen Song +3Time Series Foundation Models Reinforcement Learning Post-Training
Beyond Foundation Models: Dimension-Aware Neural Architecture Search with Small-Data Representation Models for Cryocooler Lifetime Prediction
Aug 7, 2026Gregor Molan, Grafika Jati, Francesco Barchi +3Time Series Foundation Models Representation Learning
Align-RAG: Alignment Is All You Need for TSFM In-Context Learning
Aug 6, 2026Mohammad Asadi, Soheil Hor, Bardiya Akhbari +6Time Series Foundation Models Retrieval-Augmented Forecasting
Personalized Federated Sparse Adaptation of Time-Series Foundation Models
Aug 5, 2026Priyanka Nihalchandani, Naman Srivastava, Varun Ojha +1Time Series Foundation Models Federated Fine-Tuning
FinVerse: Financial Time-Series Benchmark
Aug 4, 2026Jaehoon Lee, Jun Seo, Seunghan Lee +9Time Series Foundation Models Finance Benchmarks
FedChronos: Federated Fine-Tuning of Time-Series Foundation Models for Privacy-Preserving Commodity Price Forecasting
Aug 2, 2026Amit Sharma, Nitin Auluck, Akramul AzimTime Series Foundation Models Federated Fine-Tuning
LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models
Jul 27, 2026Huu Hiep Nguyen, Dung Nguyen, Minh Hoang Nguyen +2Time Series Foundation Models Latent Prediction
Zero-Shot Heart Rate Variability Forecasting from Consumer Wearables Using Time Series Foundation Models
Jul 22, 2026Luukas Peräkylä, Fahad Sohrab, Ville Hautamäki +3Time Series Foundation Models Zero-Shot Forecasting
Post-Training in Time Series Foundation Models: A Unifying Framework
Jul 22, 2026Shifeng Xie, Ambroise Odonnat, Zehao Xiao +7Time Series Foundation Models Wireless Foundation Models
Expert-Guided Forecast Editing for Time-Series Foundation Models
Jul 22, 2026Hung Le, Minh Hoang Nguyen, Manh Nguyen +2Time Series Foundation Models Load Forecasting
Towards Reliable Zero-Shot Crowd Forecasting: Evaluating Time Series Foundation Models for Special Event Pedestrian Forecasting
Jul 20, 2026Ziteng Li, Yanan Xin, Tina Comes +1Zero-Shot Forecasting Accurate Pedestrian Trajectory Prediction
Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting
Jul 20, 2026Wentao Gao, Jiuyong Li, Lin Liu +4Time Series Foundation Models Zero-Shot Forecasting
Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting
Jul 20, 2026Wentao Gao, Jiuyong Li, Lin Liu +4Time Series Foundation Models Wireless Foundation Models
A Benchmark for Electrical Load Forecasting Across Grid Levels: Time-Series Transformers Outperform Established Methods
Jul 17, 2026Matthias Hertel, Sebastian Pütz, Jonathan Kolar +3Energy Forecasting Time Series Foundation Models
VLT: A Vision-Language-Time Series Multimodal Foundation Model for Industrial Intelligence
Jul 16, 2026Haiteng Wang, Jingheng Yan, Xiaokang Wang +1Multimodal Foundation Model Time Series Foundation Models
MxGPS: Multiplex Graph Transformers for a Power Grid Foundation Model
Jul 15, 2026Charilaos Papaioannou, Ioannis Tsantilas, Dimitris Giannakakos +9Ac Optimal Power Flow Multiplex Graph Transformers
Exploring Zero-Shot Foundation Models for Multivariate Time Series Anomaly Detection
Jul 14, 2026Martin Uray, Saverio Messineo, Roland Kwitt +1Time-Series Anomaly Detection Time Series Foundation Models
When Directional Accuracy Lies: A Base-Rate-Honest Benchmark for LoRA-Adapted TimesFM on Equity Forecasting
Jul 14, 2026Taizhen CheungTime Series Foundation Models Market
A Foundation Model for Multimodal Event Sequences in Financial Applications
Jul 10, 2026Nikita Rusakov, Vladislav Meshkov, Konstantin Zorin +4Multimodal Foundation Model Time Series Foundation Models
Evaluating the Generalizability of Foundation Models for Extreme Environmental Events: Case Study of California Wildfire PM2.5
Jul 8, 2026Yongcan Huang, Li Jiang, Ze Yu LiuWildfire Prediction Time Series Foundation Models
RMISC: A Large-scale Real-world Multivariate Corpus for Time Series Foundation Models
Jul 7, 2026Qian Sun, Yong-Ming Tian, Jia-Wei Huang +2Time Series Foundation Models Temporal Learnability
When Do Foundation Models Pay Off? A Break-Even Analysis of Pretrained Time Series Forecasters
Jul 6, 2026Nicholas Tan Jerome, Frank SimonTime Series Foundation Models Foundation Model
Modular Foundation Models for Time-Series Perception in Digital Twins
Jul 3, 2026Quang Hung Pham, Ryad Zemouri, Martin Gagnon +1Time Series Foundation Models Wireless Foundation Models
QuantFlow: A Federated Mamba-Based Post-Transformer Foundation Model for Time-Series Forecasting
Jul 2, 2026Shah Nawaz Haider, Steve Austin, Arnab Barua +2Time Series Foundation Models Time Series Forecasting
Evaluating Time Series Foundation Models for Electricity Price Forecasting: Contamination Risk, Distributional Shifts, and Covariate Dependence
Jul 2, 2026Zhenghua Pan, Ahmed Aziz EzzatEnergy Forecasting Time Series Foundation Models
Probabilistic Low-Voltage Peak Load Forecasting with Time Series Foundation Models Evaluated on Application-Oriented Metrics
Jul 2, 2026Benedikt Kaas, Manuel Treutlein, Hannes Benedikt Gerber +5Energy Forecasting Time Series Foundation Models
Zeus: Towards Tuning-Free Foundation Model for Time Series Analysis
Jul 2, 2026Yisong Fu, Zezhi Shao, Chengqing Yu +4Time Series Foundation Models Zero-Shot Forecasting
Evolutionary Feature Engineering for Structured Data
Jul 2, 2026Ege Onur Taga, Yilin Zhuang, M. Emrullah Ildiz +4Feature Engineering Evolution
TiRex-2: Generalizing TiRex to Multivariate Data and Streaming
Jul 1, 2026Patrick Podest, Marco Pichler, Elias Bürger +7Time Series Foundation Models Time Series Forecasting
A Three-Phase Foundation Model for Tax-Aware Personalized Portfolio Management
Jun 30, 2026Ramin PishehvarPortfolio Optimization Safe Reinforcement Learning
MACROCAST: A Vintage-Consistent Time Series Foundation Model for Real-Time Macroeconomic Forecasting
Jun 27, 2026Andrea Carriero, Davide Pettenuzzo, Shubhranshu ShekharTime Series Foundation Models Synthetic Time Series
Are Time-Series Foundation Models Ready for E-Nose Data? An Empirical Assessment of Their Embeddings
Jun 26, 2026Taeyeong Choi, Mohammed KamruzzamanTime Series Foundation Models Olfactory Navigation
Understanding Key Features of Time Series Foundation Models from Epidemic Forecasting
Jun 17, 2026Alireza Jafari, Judy Fox, Geoffrey C. Fox +2Epidemic Forecasting Time Series Foundation Models
Do Time Series Foundation Model Benchmarks Hide Regime-Dependent Failures? Evidence from Traffic Speed Forecasting
Jun 16, 2026Yingshuo Wang, Xian Sun, Lingdong Kong +4Time Series Foundation Models Accurate Traffic Forecasting
Learning the Context of Errors: Black-Box Online Adaptation of Time Series Foundation Models
Jun 12, 2026Xilin Dai, Yiding Liu, Hongjie Xia +4Time Series Foundation Models Zero-Shot Forecasting
Beyond Uniform Tokens: Adaptive Compression for Time Series Language Models
Jun 11, 2026Jialin Gan, Xin Qiu, Guangzhe Chen +1Token Compression Time Series Foundation Models
CloudCons: A Comprehensive End-to-End Benchmark for Cloud Resource Consolidation
Jun 11, 2026Xiaobin Zhang, Lefei Shen, Mouxiang Chen +6Time Series Foundation Models Cloud
Time-Series Foundation Model Embeddings for Remaining Useful Life Estimation
Jun 10, 2026Amir El-Ghoussani, Michele De Vita, Ronald Naumann +1Time Series Foundation Models Predictive Maintenance
When to Trust, How to Distill: Multi-Foundation Model Guidance for Lightweight, Robust Scientific Time Series Forecasting
Jun 10, 2026Rupasree Dey, Abdul Matin, Nathan Orwick +3Time Series Foundation Models Wireless Foundation Models
TimeRouter: Efficient and Adaptive Routing of Time-Series Foundation Models
Jun 10, 2026Kanghui Ning, Yushan Jiang, Kashif Rasul +3Time Series Foundation Models Wireless Foundation Models
APEX: A Network-Native Time-Series Foundation Model for Forecasting and Anomaly Detection for Wireless Edge Operations
Jun 10, 2026Swadhin Pradhan, Niloo Bahadori, Peiman AminiTime Series Foundation Models Multivariate Telemetry Data
CITRAS-FM: Tiny Time Series Foundation Model for Covariate-Informed Zero-Shot Forecasting
Jun 9, 2026Yosuke Yamaguchi, Issei Suemitsu, Yuki Kajihara +1Zero-Shot Forecasting Time Series Foundation Models
LakeFM: Toward a Foundation Model for Aquatic Ecosystems Using Irregular Multivariate Multi-depth Time Series Data
Jun 9, 2026Abhilash Neog, Sepideh Fatemi, Medha Sawhney +9Time Series Foundation Models Time Series
Mix, Don't Pick: Why Synthetic Corpus Composition Matters for Time Series Foundation Model Pretraining
Jun 6, 2026Aaryan Nagpal, Debdeep Sanyal, Murari Mandal +2Time Series Foundation Models Model Pretraining
Time series Foundation Models based on Physics-Informed Synthetic Histories for Cold-Start Photovoltaic Forecasting
Jun 5, 2026Lorenzo Longarini, Alessandro Rongoni, Simone Silenzi +2Wind Power Forecasting Time Series Foundation Models
GNSS-FM: A Self-Supervised Foundation Model for Daily GNSS Displacement Time Series
Jun 5, 2026Nick Teutschmann, Laura Crocetti, Fanny Lehmann +2Global Navigation Satellite System Time Series Foundation Models
GlucoFM-Bench: Benchmarking Time-Series Foundation Models for Blood Glucose Forecasting
Jun 5, 2026Baiying Lu, Zhaohui Liang, Ryan Pontius +2Continuous Glucose Monitoring Diabetes
Attack Detection using Time Series Foundation Models
Jun 4, 2026Sribalaji C. Anand, Anh Tung Nguyen, George J. PappasReal-Time Threat Detection Time Series Foundation Models

Sep 15, 2026 · cs.CVJ/K move · Enter open · S save

SPEAR NeXT Causal Latent Forecasting Across Multiple Horizons for Spectral Temporal Earth Representation Learning

Rajiv Ranjan, Udaiveer Singh, Shashank Tamaskar, Dharmendra Saraswat

Earth observation is inherently dynamic, yet temporal information in many foundation models is learned through reconstruction, invariance, or retrospective sequence summarization. SPEAR NeXT is introduced as a compact pixel-wise multimodal spectral temporal foundation model in which temporal self supervision is formulated as past only, multi horizon latent Earth state prediction. Instantaneous states are first encoded by the pretrained SPEAR model from optical, radar, and environmental observations into compact 32 dimensional embeddings. Their temporal evolution is then modeled by a causally masked Trans former that predicts multiple future latent states from pre ceding observations. Relative temporal order is represented using Rotary Position Embeddings, while month and year embeddings encode seasonal phase and interannual con text.

Spatio-Temporal Forecasting Time Series Foundation Models Latent Prediction

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