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

264 papers, page 5 of 6

201. ICML 2026Robust Inter-Series Dependency Modeling for Time Series Forecasting via Information-Theoretic Alignment
202. ICML 2026Robustifying Vision-Language Models via Test-Time Prompt Adaptation
203. ICML 2026RTInfer: Real-Time Inference of Multiple DNNs on Edge GPUs
204. ICML 2026SafeCompass: Dynamic Chain-of-Thought Steering via Inference-Time Safety Signals
205. ICML 2026Sampling from Your Language Model One Byte at a Time
206. ICML 2026See More, Forecast Better and Faster: Enhancing Time Series Foundation Models via Inference-Time Plug-and-Play Downsampling
207. ICML 2026Seeking Commonality, Preserving Specificity: A Spectral-Aware Hierarchical Framework for Cross-City Road Representation Learning
208. ICML 2026SEER: Transformer-based Robust Time Series Forecasting via Automated Patch Enhancement and Replacement
209. ICML 2026Self-Supervised Dynamical System Representations for Physiological Time-Series
210. ICML 2026Shapley Regularized Neural Granger Causality
211. ICML 2026Simple Approximation and Derivative Free Inference-Time Scaling for Diffusion Models via Sequential Monte Carlo on Path Measures
212. ICML 2026Sonar-TS: Search-Then-Verify Natural Language Querying for Time Series Databases
213. ICML 2026Sparse Regression with $\ell_0$ Constraints for $\alpha$-Mixing Time Series: Algorithms and Guarantees
214. ICML 2026SparseOpt: Addressing Normalization-induced Gradient Skew in Sparse Training
215. ICML 2026StarEmbed: Benchmarking Time Series Foundation Models on Astronomical Observations of Variable Stars
216. ICML 2026StretchTime: Adaptive Time Series Forecasting via Symplectic Attention
217. ICML 2026SubspacePath Pruner: Inference-time Pruning via Probe-based Representation–Parameter Coupling
218. ICML 2026SURGE: Approximation and Training Free Particle Filter for Diffusion Surrogate
219. ICML 2026Taming the Recent-Data Bias: Towards Robust Time Series Forecasting with Global Context
220. ICML 2026TeamWork: Multivariate Time Series Anomaly Detection via Asymmetric Role-aware Channel Modeling
221. ICML 2026TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis
222. ICML 2026Terminal Dimension Reduction for Time Series with Applications
223. ICML 2026Test-Time Graph Search for Goal-Conditioned Reinforcement Learning
224. ICML 2026Test-Time Guidance for Flow-Based Generative Models via Parallel Tempering on Source Distributions
225. ICML 2026Test-Time Learning of Causal Structure from Interventional Data
226. ICML 2026Test-time Offline Reinforcement Learning on Goal-related Experience
227. ICML 2026Test-Time Training with KV Binding Is Secretly Linear Attention
228. ICML 2026TF-FACE: Time-Frequency Fusion Learning via Frequency-Domain Adaptive and Controllable Enhancement for Trajectory Prediction
229. ICML 2026TFRBench: A Reasoning Benchmark for Evaluating Forecasting Systems
230. ICML 2026Theoretical Investigation on Inductive Bias of Isolation Forest
231. ICML 2026ThetaEvolve: Test-time Learning on Open Problems
232. ICML 2026Time Series Forecasting Through the Lens of Dynamics
233. ICML 2026Time series saliency maps: Explaining models across multiple domains
234. ICML 2026Time Series, Vision, and Language: Exploring the Limits of Alignment in Contrastive Representation Spaces
235. ICML 2026Time-Consistent Robust Multi-Objective Reinforcement Learning via a Bellman–Isaacs Weight-Adversary Recursion
236. ICML 2026Time-PEFT: Temporal and Multichannel Complexity-Based Fine-Tuning for Time-Series Foundation Models
237. ICML 2026Time-Series Decomposition as a Standalone Task: A Mechanism-Driven Diagnostic Benchmark
238. ICML 2026TimeGuard: Channel-wise Pool Training for Backdoor Defense in Time Series Forecasting
239. ICML 2026TimeLAVA: Learning-Agnostic Valuation for Time Series Data
240. ICML 2026TimeMRA: LLM-Empowered Time Series Forecasting via Multi-Scale Retrieval-Augmented Representations
241. ICML 2026TimeOmni-VL: Unified Models for Time Series Understanding and Generation
242. ICML 2026TimeSAE: Causal Sparse Decoding for Faithful Explanations of Black-Box Time Series Models
243. ICML 2026TimeSeed: Effective Time Series Forecasting with Sparse Endogenous Variables
244. ICML 2026TiMi: Empower Time Series Transformers with Multimodal Mixture of Experts
245. ICML 2026TopoDistill: Distilling Global System Topology for Causal Discovery in Multivariate Time Series
246. ICML 2026Towards a Unified Generative Model for Scarce Time Series with Domain Experts
247. ICML 2026Towards Foundation Models for Zero-Shot Time Series Anomaly Detection: Leveraging Synthetic Data and Relative Context Discrepancy
248. ICML 2026Towards One-for-All Anomaly Detection for Tabular Data
249. ICML 2026Tri-Scale Neural ODEs for Continuous Multi-Omics Disease Modeling
250. ICML 2026TSFAdv: Frequency-Guided Black-Box Adversarial Attacks on Time Series Forecasting

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.