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 25 of 44

1201. ICML 2025Spectral-Aware Reservoir Computing for Fast and Accurate Time Series Classification
1202. ICML 2025SpikF: Spiking Fourier Network for Efficient Long-term Prediction
1203. ICML 2025Sundial: A Family of Highly Capable Time Series Foundation Models
1204. ICML 2025Survival Analysis via Density Estimation
1205. ICML 2025Temporal Query Network for Efficient Multivariate Time Series Forecasting
1206. ICML 2025Test-Time Adaptation with Binary Feedback
1207. ICML 2025Test-time Adapted Reinforcement Learning with Action Entropy Regularization
1208. ICML 2025Test-time Correlation Alignment
1209. ICML 2025Test-Time Preference Optimization: On-the-Fly Alignment via Iterative Textual Feedback
1210. ICML 2025Test-Time Selective Adaptation for Uni-Modal Distribution Shift in Multi-Modal Data
1211. ICML 2025Test-Time Training Provably Improves Transformers as In-context Learners
1212. ICML 2025The Global Convergence Time of Stochastic Gradient Descent in Non-Convex Landscapes: Sharp Estimates via Large Deviations
1213. ICML 2025The Price of Linear Time: Error Analysis of Structured Kernel Interpolation
1214. ICML 2025Time Series Representations with Hard-Coded Invariances
1215. ICML 2025Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time
1216. ICML 2025Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting
1217. ICML 2025TimeBase: The Power of Minimalism in Efficient Long-term Time Series Forecasting
1218. ICML 2025TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting
1219. ICML 2025TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation
1220. ICML 2025TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting
1221. ICML 2025TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning
1222. ICML 2025TimePro: Efficient Multivariate Long-term Time Series Forecasting with Variable- and Time-Aware Hyper-state
1223. ICML 2025TimeStacker: A Novel Framework with Multilevel Observation for Capturing Nonstationary Patterns in Time Series Forecasting
1224. ICML 2025TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation
1225. ICML 2025Towards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer
1226. ICML 2025Towards a Unified Framework of Clustering-based Anomaly Detection
1227. ICML 2025Towards Memorization Estimation: Fast, Formal and Free
1228. ICML 2025Training High Performance Spiking Neural Network by Temporal Model Calibration
1229. ICML 2025TransPL: VQ-Code Transition Matrices for Pseudo-Labeling of Time Series Unsupervised Domain Adaptation
1230. ICML 2025TTFSFormer: A TTFS-based Lossless Conversion of Spiking Transformer
1231. ICML 2025Understanding and Improving Length Generalization in Recurrent Models
1232. ICML 2025UnHiPPO: Uncertainty-aware Initialization for State Space Models
1233. ICML 2025UniSim: A Unified Simulator for Time-Coarsened Dynamics of Biomolecules
1234. ICML 2025VerbalTS: Generating Time Series from Texts
1235. ICML 2025VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters
1236. ICML 2025WAVE: Weighted Autoregressive Varying Gate for Time Series Forecasting
1237. ICML 2025When Every Millisecond Counts: Real-Time Anomaly Detection via the Multimodal Asynchronous Hybrid Network
1238. ICML 2025When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series
1239. ICML 2025Winner-takes-all for Multivariate Probabilistic Time Series Forecasting
1240. NeurIPS 2025$\Psi$-Sampler: Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score Models
1241. NeurIPS 20254D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time
1242. NeurIPS 2025A Diffusion Model for Regular Time Series Generation from Irregular Data with Completion and Masking
1243. NeurIPS 2025A Geometry-Aware Metric for Mode Collapse in Time Series Generative Models
1244. NeurIPS 2025A Learning-Augmented Dynamic Programming Approach for Orienteering Problem with Time Windows
1245. NeurIPS 2025A Multimodal BiMamba Network with Test-Time Adaptation for Emotion Recognition Based on Physiological Signals
1246. NeurIPS 2025A Semantic Parsing Framework for End-to-End Time Normalization
1247. NeurIPS 2025Abstain Mask Retain Core: Time Series Prediction by Adaptive Masking Loss with Representation Consistency
1248. NeurIPS 2025Accelerating Optimization via Differentiable Stopping Time
1249. NeurIPS 2025Adaptive Inference-Time Scaling via Cyclic Diffusion Search
1250. NeurIPS 2025Adaptive Quantization in Generative Flow Networks for Probabilistic Sequential Prediction

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.