ICLR 2026 Past Time series
1st ICLR Workshop on Time Series in the Age of Large Models
ICLR 2026 TSALM Workshop
- Submission deadline
- Feb 15, 2026, 12:00 UTC imported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Auto-imported from the OpenReview venue record on 2026-06-10 — please verify and enrich (topics are keyword-guessed).
Accepted papers (73)
Fetched from OpenReview (v2) on 2026-06-10.
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A Learnable Wavelet Transformer for Long-Short Equity Trading and Risk-Adjusted Return Optimization
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An Agentic Framework for Causal Discovery and Forecasting in Oil and Gas Time Series
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APTGuard: An APT Detection Method Based on LLM and Time-Series Augmentation
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ARFBench: Benchmarking Multimodal Time Series Reasoning for Software Incident Response
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Auditing Black-Box Trends: Structural Inductive Bias Facilitates Causal Interpretability in Clinical Time Series
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Balanced Latent Semantics and Signal Fidelity for EEG representation learning
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Benchmarking LLM Summaries of Multimodal Clinical Time Series for Remote Monitoring
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Beyond Earthbound Benchmarks: Evaluating Time Series Foundation Models on Satellite Telemetry Data
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Beyond Fit & Predict: Forecasting API for the Foundation Model Era
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Beyond Flat Taxonomies: Hierarchical Capability Profiling for Time-Series Understanding and Reasoning in Large Models
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Beyond Statistical Changepoint Detection: Semantic Interpretation of Time Series via LLMs
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Bridging the Fine-Tuning Gap in Time Series Classification with Synthetic Data and Inference Strategies
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Cached Foundation Model Summaries for Memory-Efficient Clinical Time Series Inference
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CLIC: Contextual Language-Informed Cardiac Pathology Classification
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Complementing Domain Labels with WaveEnergy Signatures for Time Series Heterogeneity
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Context-Informed Sequence Classification: A Multimodal Approach to Vehicle Diagnostics
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Dissecting Chronos: Sparse Autoencoders Reveal Causal Feature Hierarchies in Time Series Foundation Models
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Do Foundation Models Generalize to Real-World EV Fleets? A 1.1M-Drive Benchmark
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Do We Need Domain-Specific Time-Series Models? Insights from EEG Classification Benchmarks
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Does Normalization Choice Matter for Causal Large Time-Series Models?
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DynLMC: Dynamic Linear Coregionalization for Realistic Synthetic Multivariate Time Series
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EnergyX: An Agentic Framework for Explainable Energy Forecasting and Anomaly Detection
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Expressive Power of Recurrent Spiking Neural Networks for Sequence Modeling
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Factor Dimensionality and the Bias–Variance Tradeoff in Diffusion Portfolio Models
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Finding the Zeitgeist in Time Series Foundation Models
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Forecasting Solar Flares with the EVEREST Transformer
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From Foundation Model to Tiny Time Series Classifier through Knowledge Distillation
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From Noisy Neural Time Series to Structured Language: A Foundation Model for Imagined Speech Decoding from EEG signals
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Giving Sensors a Voice: Multimodal JEPA for Semantic Time-Series Embeddings
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GPT2MEG: Quantizing MEG for Autoregressive Generation
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Hindsight Preference Optimization for Financial Time Series Advisory
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Impermanent: A Live Benchmark for Temporal Generalization in Time Series Forecasting
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Improving Conditional Coverage in Time-Series Foundation Models via Direct Volatility Modeling
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Interventional Time Series Priors for Causal Foundation Models
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Investigating simple target-covariate relationships for Chronos-2 and TabPFN-TS
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KeyTrend: Automated Keyword Synthesis via LLMs for Demand Forecasting with Google Trends
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Large EEG Foundation Model Learns Informative Low-Frequency Representations from Intracranial Brain Signals
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Learning to Query History: Nonstationary Classification via Learned Retrieval
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Learning Transferable Sensor Models via Language-Informed Pretraining
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LLM-Assisted Logic Rule Learning: Scaling Human Expertise for Time Series Anomaly Detection
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LLM4Series: Structured Prompting for Time Series Forecasting with LLMs
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Multi-Agent Framework for Developing and Evaluating Biometric-based Multimodal Synthetic Personas: A Case Study on Pregnancy and Postpartum Users
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Narrative of Time across Scales (NoTS)
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Non-Stationarity in the Embedding Space of Time Series Foundation Models
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On the Role of Context in Zero-Shot Multivariate Time-Series Forecasting
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Overcoming the Modality Gap in Context-Aided Forecasting
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PETS: Inference-Time Differentially Private Synthetic Time Series Generation
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PiERN: Token-Level Routing for Integrating High-Precision Computation and Reasoning
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ReDiTT: Retrieval Augmented Conditional Diffusion Transformers for Asynchronous Time Series
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Regimen-Aware Forecasting for Mechanistic Virtual Patients with Time-Series Foundation Models
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Rethinking Multimodal Time-Series Forecasting Evaluation
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Retrieval Mechanisms Surpass Long-Context Scaling in Time Series Forecasting
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STAMP: Shared-Dictionary Shapelet Tokenization For Multi-Resolution Time-Series Compression
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State-Space Modeling in Natural Language
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Status-Aware Self-Supervised Forecasting for Irregular Clinical Time Series
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Structure-Aware Set Transformers: Temporal and Variable-type Attention Biases for Asynchronous Clinical Time Series
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TF-JEPA: Predictive Alignment of Time–Frequency Representations Without Contrastive Pairs
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The Arrow of Time: What Tabular Foundation Models Miss in Time Series Forecasting
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The Geometry of Time-Series Diffusion: Why Latent Space Diffusion Works for Generation and Imputation
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TiCT: A Synthetically Pre-Trained Foundation Model for Time Series Classification
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Time Series Foundation Models Improve LLM Decisions: A Case Study in Stock Trading
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Time-Series as Feedback: Evaluating Adaptive Reasoning in LLM Agents
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Time-Series Foundation Model Embeddings as Means for Physiological Feature Extraction
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TimEE: Towards End-to-end Time Series Classification via In-Context Learning
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TimeSAE: Mechanistic Interpretability for Time-Series Foundation Models
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TS-Arena: A Live Forecast Pre-Registration Platform for Leakage-Free Evaluation of Time Series Foundation Models
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TS-Haystack: A Multi-Scale Retrieval Benchmark for Time Series Language Models
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Tune-as-Inference: Amortized Configuration Learning for Time Series Foundation Models
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UTICA: Multi-Objective Self-Distllation Fondation Model Pretraining for Time Series Classification
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WaveFM: Wavelet Decomposition Masked Reconstruction for Multi-Scale Time-series Foundation Model
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WaveMoE: A Wavelet-Enhanced Mixture-of-Experts Foundation Model for Time Series Forecasting
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Zero-shot Multivariate Time Series Forecasting Using Tabular Prior Fitted Networks
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ZODIAC—ZERO-INFLATED OVERSHOOT CONTROLLED DUAL-HEAD INTEGRATION FOR ASYMMETRIC CROSS-DOMAIN FORECASTING