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

424 papers, page 8 of 9

351. NeurIPS 2024MonkeySee: Space-time-resolved reconstructions of natural images from macaque multi-unit activity
352. NeurIPS 2024Motion Forecasting in Continuous Driving
353. NeurIPS 2024MotionTTT: 2D Test-Time-Training Motion Estimation for 3D Motion Corrected MRI
354. NeurIPS 2024Multivariate Probabilistic Time Series Forecasting with Correlated Errors
355. NeurIPS 2024Muscles in Time: Learning to Understand Human Motion In-Depth by Simulating Muscle Activations
356. NeurIPS 2024NewTerm: Benchmarking Real-Time New Terms for Large Language Models with Annual Updates
357. NeurIPS 2024Off to new Shores: A Dataset & Benchmark for (near-)coastal Flood Inundation Forecasting
358. NeurIPS 2024On the Optimal Time Complexities in Decentralized Stochastic Asynchronous Optimization
359. NeurIPS 2024On the Reproducibility of: "Learning Perturbations to Explain Time Series Predictions"
360. NeurIPS 2024Optimal Hypothesis Selection in (Almost) Linear Time
361. NeurIPS 2024Out-of-Distribution Detection with a Single Unconditional Diffusion Model
362. NeurIPS 2024Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting
363. NeurIPS 2024Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis
364. NeurIPS 2024PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting
365. NeurIPS 2024Piecewise-Stationary Bandits with Knapsacks
366. NeurIPS 2024Polynomial-Time Computation of Exact $\Phi$-Equilibria in Polyhedral Games
367. NeurIPS 2024PowerPM: Foundation Model for Power Systems
368. NeurIPS 2024ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons
369. NeurIPS 2024Protected Test-Time Adaptation via Online Entropy Matching: A Betting Approach
370. NeurIPS 2024RandNet-Parareal: a time-parallel PDE solver using Random Neural Networks
371. NeurIPS 2024Real-time Core-Periphery Guided ViT with Smart Data Layout Selection on Mobile Devices
372. NeurIPS 2024Real-Time Recurrent Learning using Trace Units in Reinforcement Learning
373. NeurIPS 2024Real-time Stereo-based 3D Object Detection for Streaming Perception
374. NeurIPS 2024realSEUDO for real-time calcium imaging analysis
375. NeurIPS 2024ReMAP: Neural Model Reprogramming with Network Inversion and Retrieval-Augmented Mapping for Adaptive Motion Forecasting
376. NeurIPS 2024ResAD: A Simple Framework for Class Generalizable Anomaly Detection
377. NeurIPS 2024Rethinking Fourier Transform from A Basis Functions Perspective for Long-term Time Series Forecasting
378. NeurIPS 2024Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution
379. NeurIPS 2024Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy
380. NeurIPS 2024Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective
381. NeurIPS 2024Rough Transformers: Lightweight and Continuous Time Series Modelling through Signature Patching
382. NeurIPS 2024Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel
383. NeurIPS 2024SARAD: Spatial Association-Aware Anomaly Detection and Diagnosis for Multivariate Time Series
384. NeurIPS 2024Scaling Law for Time Series Forecasting
385. NeurIPS 2024SDformer: Similarity-driven Discrete Transformer For Time Series Generation
386. NeurIPS 2024Segment, Shuffle, and Stitch: A Simple Layer for Improving Time-Series Representations
387. NeurIPS 2024Shape analysis for time series
388. NeurIPS 2024SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction
389. NeurIPS 2024SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion
390. NeurIPS 2024SOI: Scaling Down Computational Complexity by Estimating Partial States of the Model
391. NeurIPS 2024SolarCube: An Integrative Benchmark Dataset Harnessing Satellite and In-situ Observations for Large-scale Solar Energy Forecasting
392. NeurIPS 2024Space-Time Continuous PDE Forecasting using Equivariant Neural Fields
393. NeurIPS 2024Structured Matrix Basis for Multivariate Time Series Forecasting with Interpretable Dynamics
394. NeurIPS 2024TALoS: Enhancing Semantic Scene Completion via Test-time Adaptation on the Line of Sight
395. NeurIPS 2024Task-oriented Time Series Imputation Evaluation via Generalized Representers
396. NeurIPS 2024Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth
397. NeurIPS 2024Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment
398. NeurIPS 2024Test-Time Adaptation Induces Stronger Accuracy and Agreement-on-the-Line
399. NeurIPS 2024Test-Time Dynamic Image Fusion
400. NeurIPS 2024Testing Calibration in Nearly-Linear Time

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.