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 6 of 44

251. ICLR 2026SCRAPL: Scattering Transform with Random Paths for Machine Learning
252. ICLR 2026SELF-HARMONY: LEARNING TO HARMONIZE SELF-SUPERVISION AND SELF-PLAY IN TEST-TIME REINFORCEMENT LEARNING
253. ICLR 2026Semantic-Enhanced Time-Series Forecasting via Large Language Models
254. ICLR 2026Shift-Tolerant Allocation via Black-Litterman Using Conditional Diffusion Estimates
255. ICLR 2026SONATA: Synergistic Coreset Informed Adaptive Temporal Tensor Factorization
256. ICLR 2026SRT: Super-Resolution for Time Series via Disentangled Rectified Flow
257. ICLR 2026ST-HHOL: Spatio-Temporal Hierarchical Hypergraph Online Learning for Crime Prediction
258. ICLR 2026Step-Aware Residual-Guided Diffusion for EEG Spatial Super-Resolution
259. ICLR 2026Stochastic Optimal Control for Continuous-Time fMRI Representation Learning
260. ICLR 2026STORM: Synergistic Cross-Scale Spatio-Temporal Modeling for Weather Forecasting
261. ICLR 2026Strategic Scaling of Test-Time Compute: A Bandit Learning Approach
262. ICLR 2026Structure Learning from Time-Series Data with Lag-Agnostic Structural Prior
263. ICLR 2026Sublinear Time Quantum Algorithm for Attention Approximation
264. ICLR 2026Subspace Kernel Learning on Tensor Sequences
265. ICLR 2026SwiftTS: A Swift Selection Framework for Time Series Pre-trained Models via Multi-task Meta-Learning
266. ICLR 2026T1: One-to-One Channel-Head Binding for Multivariate Time-Series Imputation
267. ICLR 2026T1: Tool-integrated Verification for Test-time Compute Scaling in Small Language Models
268. ICLR 2026Tackling Time-Series Forecasting Generalization via Mitigating Concept Drift
269. ICLR 2026TAMMs: Change Understanding and Forecasting in Satellite Image Time Series with Temporal-Aware Multimodal Models
270. ICLR 2026TCD-Arena: Assessing Robustness of Time Series Causal Discovery Methods Against Assumption Violations
271. ICLR 2026TEDM: Time Series Forecasting with Elucidated Diffusion Models
272. ICLR 2026TEN-DM: Topology-Enhanced Diffusion Model for Spatio-Temporal Event Prediction
273. ICLR 2026Test-Time Efficient Pretrained Model Portfolios for Time Series Forecasting
274. ICLR 2026Test-Time Iterative Error Correction for Efficient Diffusion Models
275. ICLR 2026Test-Time Optimization of 3D Point Cloud LLM via Manifold-Aware In-Context Guidance and Refinement
276. ICLR 2026Test-Time Poisoned Sample Detection by Exploiting Shallow Malicious Matching in Backdoored CLIP
277. ICLR 2026Test-Time Training Done Right
278. ICLR 2026Test-time Verification via Optimal Transport: Coverage, ROC, & Sub-optimality
279. ICLR 2026The Coverage Principle: How Pre-Training Enables Post-Training
280. ICLR 2026The Curious Case of In-Training Compression of State Space Models
281. ICLR 2026The Diffusion Duality, Chapter II: $\Psi$-Samplers and Efficient Curriculum
282. ICLR 2026The Forecast After the Forecast: A Post-Processing Shift in Time Series
283. ICLR 2026The Markovian Thinker
284. ICLR 2026Theory of Scaling Laws for In-Context Regression: Depth, Width, Context and Time
285. ICLR 2026Time Is a Feature: Exploiting Temporal Dynamics in Diffusion Language Models
286. ICLR 2026Time Optimal Execution of Action Chunk Policies Beyond Demonstration Speed
287. ICLR 2026Time-Gated Multi-Scale Flow Matching for Time-Series Imputation
288. ICLR 2026TimeOmni-1: Incentivizing Complex Reasoning with Time Series in Large Language Models
289. ICLR 2026TimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level Effectiveness
290. ICLR 2026TimeSeg: An Information-Theoretic Segment-Wise Explainer for Time-Series Predictions
291. ICLR 2026TIMESLIVER : SYMBOLIC-LINEAR DECOMPOSITION FOR EXPLAINABLE TIME SERIES CLASSIFICATION
292. ICLR 2026TNT: Improving Chunkwise Training for Test-Time Memorization
293. ICLR 2026Tokenizing Single-Channel EEG with Time-Frequency Motif Learning
294. ICLR 2026Topological Anomaly Quantification for Semi-supervised Graph Anomaly Detection
295. ICLR 2026Towards Generalizable PDE Dynamics Forecasting via Physics-Guided Invariant Learning
296. ICLR 2026Towards Multimodal Time Series Anomaly Detection with Semantic Alignment and Condensed Interaction
297. ICLR 2026Towards Robust Real-World Multivariate Time Series Forecasting: A Unified Framework for Dependency, Asynchrony, and Missingness
298. ICLR 2026Transformers Don’t Need LayerNorm at Inference Time: Scaling LayerNorm Removal to GPT-2 XL and Implications for Mechanistic Interpretability
299. ICLR 2026TreeGrad-Ranker: Feature Ranking via $O(L)$-Time Gradients for Decision Trees
300. ICLR 2026TrimR: Verifier-based Training-Free Thinking Trimming for Efficient Test-Time Scaling

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.