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

2,156 papers, page 37 of 44

1801. NeurIPS 2024Large Pre-trained time series models for cross-domain Time series analysis tasks
1802. NeurIPS 2024Learning diverse causally emergent representations from time series data
1803. NeurIPS 2024Leveraging Drift to Improve Sample Complexity of Variance Exploding Diffusion Models
1804. NeurIPS 2024Linear Time Approximation Algorithm for Column Subset Selection with Local Search
1805. NeurIPS 2024Lower Bounds and Optimal Algorithms for Non-Smooth Convex Decentralized Optimization over Time-Varying Networks
1806. NeurIPS 2024MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection
1807. NeurIPS 2024Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification
1808. NeurIPS 2024Metric from Human: Zero-shot Monocular Metric Depth Estimation via Test-time Adaptation
1809. NeurIPS 2024Model Based Inference of Synaptic Plasticity Rules
1810. NeurIPS 2024Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems
1811. NeurIPS 2024MonkeySee: Space-time-resolved reconstructions of natural images from macaque multi-unit activity
1812. NeurIPS 2024Motion Forecasting in Continuous Driving
1813. NeurIPS 2024MotionTTT: 2D Test-Time-Training Motion Estimation for 3D Motion Corrected MRI
1814. NeurIPS 2024Multivariate Probabilistic Time Series Forecasting with Correlated Errors
1815. NeurIPS 2024Muscles in Time: Learning to Understand Human Motion In-Depth by Simulating Muscle Activations
1816. NeurIPS 2024NewTerm: Benchmarking Real-Time New Terms for Large Language Models with Annual Updates
1817. NeurIPS 2024Off to new Shores: A Dataset & Benchmark for (near-)coastal Flood Inundation Forecasting
1818. NeurIPS 2024On the Optimal Time Complexities in Decentralized Stochastic Asynchronous Optimization
1819. NeurIPS 2024On the Reproducibility of: "Learning Perturbations to Explain Time Series Predictions"
1820. NeurIPS 2024Optimal Hypothesis Selection in (Almost) Linear Time
1821. NeurIPS 2024Out-of-Distribution Detection with a Single Unconditional Diffusion Model
1822. NeurIPS 2024Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting
1823. NeurIPS 2024Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis
1824. NeurIPS 2024PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting
1825. NeurIPS 2024Piecewise-Stationary Bandits with Knapsacks
1826. NeurIPS 2024Polynomial-Time Computation of Exact $\Phi$-Equilibria in Polyhedral Games
1827. NeurIPS 2024PowerPM: Foundation Model for Power Systems
1828. NeurIPS 2024ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons
1829. NeurIPS 2024Protected Test-Time Adaptation via Online Entropy Matching: A Betting Approach
1830. NeurIPS 2024RandNet-Parareal: a time-parallel PDE solver using Random Neural Networks
1831. NeurIPS 2024Real-time Core-Periphery Guided ViT with Smart Data Layout Selection on Mobile Devices
1832. NeurIPS 2024Real-Time Recurrent Learning using Trace Units in Reinforcement Learning
1833. NeurIPS 2024Real-time Stereo-based 3D Object Detection for Streaming Perception
1834. NeurIPS 2024realSEUDO for real-time calcium imaging analysis
1835. NeurIPS 2024ReMAP: Neural Model Reprogramming with Network Inversion and Retrieval-Augmented Mapping for Adaptive Motion Forecasting
1836. NeurIPS 2024ResAD: A Simple Framework for Class Generalizable Anomaly Detection
1837. NeurIPS 2024Rethinking Fourier Transform from A Basis Functions Perspective for Long-term Time Series Forecasting
1838. NeurIPS 2024Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution
1839. NeurIPS 2024Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy
1840. NeurIPS 2024Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective
1841. NeurIPS 2024Rough Transformers: Lightweight and Continuous Time Series Modelling through Signature Patching
1842. NeurIPS 2024Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel
1843. NeurIPS 2024SARAD: Spatial Association-Aware Anomaly Detection and Diagnosis for Multivariate Time Series
1844. NeurIPS 2024Scaling Law for Time Series Forecasting
1845. NeurIPS 2024SDformer: Similarity-driven Discrete Transformer For Time Series Generation
1846. NeurIPS 2024Segment, Shuffle, and Stitch: A Simple Layer for Improving Time-Series Representations
1847. NeurIPS 2024Shape analysis for time series
1848. NeurIPS 2024SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction
1849. NeurIPS 2024SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion
1850. NeurIPS 2024SOI: Scaling Down Computational Complexity by Estimating Partial States of the Model

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.