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

757 papers, page 13 of 16

601. NeurIPS 2024On the Reproducibility of: "Learning Perturbations to Explain Time Series Predictions"
602. NeurIPS 2024Optimal Hypothesis Selection in (Almost) Linear Time
603. NeurIPS 2024Out-of-Distribution Detection with a Single Unconditional Diffusion Model
604. NeurIPS 2024Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting
605. NeurIPS 2024Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis
606. NeurIPS 2024PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting
607. NeurIPS 2024Piecewise-Stationary Bandits with Knapsacks
608. NeurIPS 2024Polynomial-Time Computation of Exact $\Phi$-Equilibria in Polyhedral Games
609. NeurIPS 2024PowerPM: Foundation Model for Power Systems
610. NeurIPS 2024ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons
611. NeurIPS 2024Protected Test-Time Adaptation via Online Entropy Matching: A Betting Approach
612. NeurIPS 2024RandNet-Parareal: a time-parallel PDE solver using Random Neural Networks
613. NeurIPS 2024Real-time Core-Periphery Guided ViT with Smart Data Layout Selection on Mobile Devices
614. NeurIPS 2024Real-Time Recurrent Learning using Trace Units in Reinforcement Learning
615. NeurIPS 2024Real-time Stereo-based 3D Object Detection for Streaming Perception
616. NeurIPS 2024realSEUDO for real-time calcium imaging analysis
617. NeurIPS 2024ReMAP: Neural Model Reprogramming with Network Inversion and Retrieval-Augmented Mapping for Adaptive Motion Forecasting
618. NeurIPS 2024ResAD: A Simple Framework for Class Generalizable Anomaly Detection
619. NeurIPS 2024Rethinking Fourier Transform from A Basis Functions Perspective for Long-term Time Series Forecasting
620. NeurIPS 2024Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution
621. NeurIPS 2024Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy
622. NeurIPS 2024Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective
623. NeurIPS 2024Rough Transformers: Lightweight and Continuous Time Series Modelling through Signature Patching
624. NeurIPS 2024Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel
625. NeurIPS 2024SARAD: Spatial Association-Aware Anomaly Detection and Diagnosis for Multivariate Time Series
626. NeurIPS 2024Scaling Law for Time Series Forecasting
627. NeurIPS 2024SDformer: Similarity-driven Discrete Transformer For Time Series Generation
628. NeurIPS 2024Segment, Shuffle, and Stitch: A Simple Layer for Improving Time-Series Representations
629. NeurIPS 2024Shape analysis for time series
630. NeurIPS 2024SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction
631. NeurIPS 2024SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion
632. NeurIPS 2024SOI: Scaling Down Computational Complexity by Estimating Partial States of the Model
633. NeurIPS 2024SolarCube: An Integrative Benchmark Dataset Harnessing Satellite and In-situ Observations for Large-scale Solar Energy Forecasting
634. NeurIPS 2024Space-Time Continuous PDE Forecasting using Equivariant Neural Fields
635. NeurIPS 2024Structured Matrix Basis for Multivariate Time Series Forecasting with Interpretable Dynamics
636. NeurIPS 2024TALoS: Enhancing Semantic Scene Completion via Test-time Adaptation on the Line of Sight
637. NeurIPS 2024Task-oriented Time Series Imputation Evaluation via Generalized Representers
638. NeurIPS 2024Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth
639. NeurIPS 2024Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment
640. NeurIPS 2024Test-Time Adaptation Induces Stronger Accuracy and Agreement-on-the-Line
641. NeurIPS 2024Test-Time Dynamic Image Fusion
642. NeurIPS 2024Testing Calibration in Nearly-Linear Time
643. NeurIPS 2024The Elephant in the Room: Towards A Reliable Time-Series Anomaly Detection Benchmark
644. NeurIPS 2024The Fine-Grained Complexity of Gradient Computation for Training Large Language Models
645. NeurIPS 2024Time Makes Space: Emergence of Place Fields in Networks Encoding Temporally Continuous Sensory Experiences
646. NeurIPS 2024Time-Constrained Robust MDPs
647. NeurIPS 2024Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting
648. NeurIPS 2024Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis
649. NeurIPS 2024Time-Reversal Provides Unsupervised Feedback to LLMs
650. NeurIPS 2024TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables

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.