Time Series papers, 2023–2026

Key findings

• Time Series went from 272 papers in 2023 to 876 in 2026, roughly 3.2x in three years.
• NeurIPS publishes the most Time Series work: 757 papers from 2023 to 2026, 35% of the four-venue total.
• The fastest-growing overlap is with Multimodal LLMs: papers tagged with both rose from 6 in 2023 to 85 in 2026.
• Among the 5 topics under Graph and Structured Data, it ranks #1 by 2026 paper count; the fastest grower in the group, Molecular Modeling, is up 2.7x versus 3.2x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026A Batched Hartigan's $k$-Means Clustering
• ICML 2026A Control-Theoretic View of Mamba on Stability and Robustness
• ICLR 2026A Single Architecture for Representing Invariance Under Any Space Group
• CVPR 2026Activation Matters Test-time Activated Negative Labels for OOD Detection with
• NeurIPS 2025Abstain Mask Retain Core: Time Series Prediction by Adaptive Masking Loss with Representation Consistency
• ICML 2025$K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting
• ICLR 2025A deep inverse-mapping model for a flapping robotic wing
• CVPR 2025Beyond Single-Modal Boundary: Cross-Modal Anomaly Detection through Visual Prototype and Harmonization
• NeurIPS 2024A Continuous-time Stochastic Gradient Descent Method for Continuous Data
• ICML 2024$S^2$IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting
• ICLR 2024ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning
• CVPR 2024Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation
• NeurIPS 2023A Sublinear-Time Spectral Clustering Oracle with Improved Preprocessing Time
• ICML 2023Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time
• ICLR 2023A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
• CVPR 2023ActMAD: Activation Matching To Align Distributions for Test-Time-Training
• NeurIPS 2026A Locally Tokenized Generative Model for Robust Time-Series Watermarking
• ICML 2026ADHD Disease Detection Based on Short- and Long-Term Brain Function Encoding and Memory Graph Network
• ICLR 2026A Spectral-Grassmann Wasserstein metric for operator representations of dynamical systems
• CVPR 2026Continuous Exposure-Time Modeling for Realistic Atmospheric Turbulence Synthesis

All Time Series papers

875 papers, page 14 of 18

651. NeurIPS 2026Early Signals, Strong Decisions: Prefix-Guided Sampling for Parallel Test-Time Scaling
652. NeurIPS 2026Echoes of Error: Residual-Directional Local Rollout Consistency for Timeseries Forecasting
653. NeurIPS 2026Empowering Time Series Analysis with Large-Scale Multimodal Pretraining
654. NeurIPS 2026Ensemble Modeling for Time Series Forecasting: an Adaptive Robust Optimization Approach
655. NeurIPS 2026Entropy Guided Dynamic Patch Segmentation for Time Series Transformers
656. NeurIPS 2026ESENSC: A Polynomial-Time Axiomatic Alternative to SHAP
657. NeurIPS 2026EVA-0: Test-Time Model Evolution with Only Two Forward Passes per Sample
658. NeurIPS 2026Evaluating Deployable Inference-Time Error Prediction in Vision MoEs
659. NeurIPS 2026Evaluating Uncertainty Calibration in Probabilistic Time Series Foundation Models
660. NeurIPS 2026EVOCHAMBER: Test-Time Co-evolution of Multi-Agent System at Individual, Team, and Population Scales
661. NeurIPS 2026Exact Flow Linear Attention: Exact Solution from Continuous-Time Dynamics
662. NeurIPS 2026ExComm: Exploration-Stage Communication for Error-Resilient Agentic Test-Time Scaling
663. NeurIPS 2026FashionChameleon: Towards Real-Time and Interactive Human-Garment Video Customization
664. NeurIPS 2026Fast-WAM: Do World Action Models Need Test-time Future Imagination?
665. NeurIPS 2026FASTER: Rethinking Real-Time Flow VLAs
666. NeurIPS 2026FENet: Functional Embedding Neural Network for Change-Point Detection in Functional Time Series
667. NeurIPS 2026fev-bench: A Realistic Benchmark for Time Series Forecasting
668. NeurIPS 2026Filter Banks: from Low-Rank Representations to Deep Models for Efficient Time Series Forecasting
669. NeurIPS 2026FIND: Frequency Invariance Disentanglement for Test-Time Adaptation in LiDAR 3D Detection
670. NeurIPS 2026Finite Time Analysis of Risk-Sensitive RL via Noisy Power Iteration
671. NeurIPS 2026First-Token Attraction in Mamba Dynamics
672. NeurIPS 2026FISC: Time-Series Forecasting via First-Layer Statistical Calibration Constraints
673. NeurIPS 2026FLAME: Flow Enhanced Legendre Memory Models for General Time Series Forecasting
674. NeurIPS 2026Flow Matching from Viewpoint of Proximal Operators
675. NeurIPS 2026Flow Mismatching: Unsupervised Anomaly Detection via Velocity Discrepancies in Flow Matching Models
676. NeurIPS 2026Flow+Diff: Unifying Flow and Diffusion Representations for Multivariate Time Series Anomaly Detection
677. NeurIPS 2026Focus, Align, and Diffuse: Time-Series-Aware Keyframe Diffusion for Cardiac Dynamic Synthesis from Sparse Observations
678. NeurIPS 2026FracTS: Hierarchical and Autoregressive Time Series Generation
679. NeurIPS 2026From Cortical Synchronous Rhythm to Brain Inspired Learning Mechanism: An Oscillatory Spiking Neural Network with Time-Delayed Coordination
680. NeurIPS 2026From Post-Hoc to Ante-Hoc: Consistently Explainable Semi-Supervised Time Series Classification
681. NeurIPS 2026Full-Atom Cyclic Peptide Design via Test-Time Scaled Autoregressive Flow Matching
682. NeurIPS 2026GAPS: Gradient-Aware Adaptation-Gap Scoring for Time-Series Anomaly Detection with Foundation Models
683. NeurIPS 2026Generating Financial Time Series by Matching Random Convolutional Features
684. NeurIPS 2026GeoWind2Plan: Mission-Time 3D Urban Wind Prediction for Energy-Efficient UAV Planning
685. NeurIPS 2026HARMONY: Hierarchical Anchor Retrieval on Manifold for Oblivious-source Acoustic Anomaly Detection
686. NeurIPS 2026Hermes: A Multi-Scale Spatial-Temporal Hypergraph Network for Stock Time Series Forecasting
687. NeurIPS 2026High-dimensional Gaussian Graphical Model Testing for Long-Memory Time Series
688. NeurIPS 2026History-Aware Conformal Prediction Sets for Censored Time-to-Event Outcomes
689. NeurIPS 2026Hitting a Moving Target: Test-Time Adaptation for AI Text Detection under Continual Distribution Shift
690. NeurIPS 2026Hitting Time Isomorphism for Multi-Stage Planning with Foundation Policies
691. NeurIPS 2026HyFAD: Hybrid Time-Frequency Diffusion with Frequency-Aware Embedding for Time Series Imputation
692. NeurIPS 2026Improving Audit Realism with Inference-Time Compute and Deployment Scaffolds
693. NeurIPS 2026IMTS-Tokenizer: Time-Aware Tokenization for Irregular Multivariate Time Series Forecasting
694. NeurIPS 2026InCLAD: A Continual Learning Benchmark for Industrial Visual Anomaly Detection
695. NeurIPS 2026Inference Time Nash Alignment
696. NeurIPS 2026Inference-time Alignment via Sparse Junction Steering
697. NeurIPS 2026Inference-Time Self-Aligned Drifting for Few-Step Flow Matching
698. NeurIPS 2026Internal Evaluation of Unsupervised Anomaly Detection Algorithms with Explanation
699. NeurIPS 2026Inverted Detection and Control in Steering Vectors
700. NeurIPS 2026JEDI: Real-Time Jailbreak Defense for LLMs via In-Generation Detection and Intervention

FAQ

How many Time Series papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

2,157 in total: 272 in 2023, 424 in 2024, 585 in 2025, 876 in 2026.

How many Time Series papers are at NeurIPS 2026?

NeurIPS 2026 has 298 Time Series papers, versus 221 the year before.

How many Time Series papers are at ICLR 2026?

ICLR 2026 has 220 Time Series papers, versus 131 the year before.

How many Time Series papers are at ICML 2026?

ICML 2026 has 264 Time Series papers, versus 159 the year before.

How many Time Series papers are at CVPR 2026?

CVPR 2026 has 94 Time Series papers, versus 74 the year before.

Which conference publishes the most Time Series papers?

NeurIPS, with 757 papers from 2023 to 2026.