[CFP] ICLR 2026 Workshop on Time Series in the Age of Large Models

[Mononito Goswami]

Dear Colleagues,

We are excited to announce the workshop on Time Series in the Age of Large Models at ICLR 2026, taking place on April 26/27 in Rio de Janeiro, Brazil. We invite submissions that explore this theme. Key topics include, but are not limited to:

• Context-informed foundation models: Multivariate forecasting, static and dynamic exogenous variables, multimodal time series, anomaly detection, and classification
• Reasoning and agents: LLM-powered agents for time series tasks, agentic scaffolds, and benchmarks for evaluating agent performance
• Benchmarks, datasets, and tools: Unified evaluation frameworks, large-scale and live benchmarks, synthetic data generation, and open-source libraries for pretraining and inference
• Interpretability: Attention analysis, feature attribution, symbolic distillation, and causal interpretability for large time series models
• Evaluation and applications: Metrics for probabilistic prediction, domain-specific evaluation, and applications in finance, healthcare, climate science, and dynamical systems

The submission deadline is February 14, 2026. We would greatly appreciate your help in spreading the word. Further details about the workshop can be found on the workshop’s website: https://tsalm-workshop.github.io/

If you have questions, please feel free to reach out to the organizers at: iclr-2026-tsalm-w...@googlegroups.com

Thanks,

Mononito 

On behalf of TSALM Organizers

Abdul Fatir Ansari, Mononito Goswami, Xiyuan Zhang, Arjun Ashok, Elizabeth Fons, Xinyu Li, Chenghao Liu, Yichen Zhou