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 26 of 44

1251. NeurIPS 2025Adaptive Time Encoding for Irregular Multivariate Time-Series Classification
1252. NeurIPS 2025AdaTS: Learning Adaptive Time Series Representations via Dynamic Soft Contrasts
1253. NeurIPS 2025ADPretrain: Advancing Industrial Anomaly Detection via Anomaly Representation Pretraining
1254. NeurIPS 2025Agentic Plan Caching: Test-Time Memory for Fast and Cost-Efficient LLM Agents
1255. NeurIPS 2025Agnostic Continuous-Time Online Learning
1256. NeurIPS 2025Aha! - Predicting What Matters Next: Online Highlight Detection Without Looking Ahead
1257. NeurIPS 2025Align Your Flow: Scaling Continuous-Time Flow Map Distillation
1258. NeurIPS 2025AliO: Output Alignment Matters in Long-Term Time Series Forecasting
1259. NeurIPS 2025An Evidence-Based Post-Hoc Adjustment Framework for Anomaly Detection Under Data Contamination
1260. NeurIPS 2025Anomaly Detection by an Ensemble of Random Pairs of Hyperspheres
1261. NeurIPS 2025Assignments for Congestion-Averse Agents: Seeking Competitive and Envy-Free Solutions
1262. NeurIPS 2025Atom of Thoughts for Markov LLM Test-Time Scaling
1263. NeurIPS 2025Attention (as Discrete-Time Markov) Chains
1264. NeurIPS 2025Backpropagation-Free Test-Time Adaptation via Probabilistic Gaussian Alignment
1265. NeurIPS 2025BioOSS: A Bio-Inspired Oscillatory State System with Spatio-Temporal Dynamics
1266. NeurIPS 2025Breakthrough Sensor-Limited Single View: Towards Implicit Temporal Dynamics for Time Series Domain Adaptation
1267. NeurIPS 2025Bridging Time and Linguistics: LLMs as Time Series Analyzer through Symbolization and Segmentation
1268. NeurIPS 2025Buffer layers for Test-Time Adaptation
1269. NeurIPS 2025CarbonGlobe: A Global-Scale, Multi-Decade Dataset and Benchmark for Carbon Forecasting in Forest Ecosystems
1270. NeurIPS 2025CARE: Decoding-Time Safety Alignment via Rollback and Introspection Intervention
1271. NeurIPS 2025Channel Matters: Estimating Channel Influence for Multivariate Time Series
1272. NeurIPS 2025Concept Incongruence: An Exploration of Time and Death in Role Playing
1273. NeurIPS 2025Conformal Prediction for Time-series Forecasting with Change Points
1274. NeurIPS 2025Constrained Posterior Sampling: Time Series Generation with Hard Constraints
1275. NeurIPS 2025Contimask: Explaining Irregular Time Series via Perturbations in Continuous Time
1276. NeurIPS 2025Continuous Soft Actor-Critic: An Off-Policy Learning Method Robust to Time Discretization
1277. NeurIPS 2025Continuous-time Riemannian SGD and SVRG Flows on Wasserstein Probabilistic Space
1278. NeurIPS 2025CrossAD: Time Series Anomaly Detection with Cross-scale Associations and Cross-window Modeling
1279. NeurIPS 2025DAAC: Discrepancy-Aware Adaptive Contrastive Learning for Medical Time series
1280. NeurIPS 2025DBLoss: Decomposition-based Loss Function for Time Series Forecasting
1281. NeurIPS 2025DCAD-2000: A Multilingual Dataset across 2000+ Languages with Data Cleaning as Anomaly Detection
1282. NeurIPS 2025DecompNet: Enhancing Time Series Forecasting Models with Implicit Decomposition
1283. NeurIPS 2025Decomposing motor units through elimination for real-time intention driven assistive neurotechnology
1284. NeurIPS 2025Deep Continuous-Time State-Space Models for Marked Event Sequences
1285. NeurIPS 2025Delving into Large Language Models for Effective Time-Series Anomaly Detection
1286. NeurIPS 2025DGS-LRM: Real-Time Deformable 3D Gaussian Reconstruction From Monocular Videos
1287. NeurIPS 2025Diffusion Transformers for Imputation: Statistical Efficiency and Uncertainty Quantification
1288. NeurIPS 2025Dimension-free Score Matching and Time Bootstrapping for Diffusion Models
1289. NeurIPS 2025Does Thinking More Always Help? Mirage of Test-Time Scaling in Reasoning Models
1290. NeurIPS 2025Dual-Stage Value-Guided Inference with Margin-Based Reward Adjustment for Fast and Faithful VLM Captioning
1291. NeurIPS 2025DynaGuide: Steering Diffusion Polices with Active Dynamic Guidance
1292. NeurIPS 2025Dynamical modeling of nonlinear latent factors in multiscale neural activity with real-time inference
1293. NeurIPS 2025EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test
1294. NeurIPS 2025Enhancing the Maximum Effective Window for Long-Term Time Series Forecasting
1295. NeurIPS 2025Entropic Time Schedulers for Generative Diffusion Models
1296. NeurIPS 2025Equivariant Eikonal Neural Networks: Grid-Free, Scalable Travel-Time Prediction on Homogeneous Spaces
1297. NeurIPS 2025Every Rollout Counts: Optimal Resource Allocation for Efficient Test-Time Scaling
1298. NeurIPS 2025EvoBrain: Dynamic Multi-Channel EEG Graph Modeling for Time-Evolving Brain Networks
1299. NeurIPS 2025Exact Expressive Power of Transformers with Padding
1300. NeurIPS 2025Exploring Neural Granger Causality with xLSTMs: Unveiling Temporal Dependencies in Complex Data

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.