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 4 of 9

151. ICLR 2024Time-Efficient Reinforcement Learning with Stochastic Stateful Policies
152. ICLR 2024Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
153. ICLR 2024Time-Varying Propensity Score to Bridge the Gap between the Past and Present
154. ICLR 2024TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting
155. ICLR 2024Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach
156. ICLR 2024Towards Robust Offline Reinforcement Learning under Diverse Data Corruption
157. ICLR 2024Towards Transparent Time Series Forecasting
158. ICLR 2024Transformer-Modulated Diffusion Models for Probabilistic Multivariate Time Series Forecasting
159. ICLR 2024Transformer-VQ: Linear-Time Transformers via Vector Quantization
160. ICLR 2024Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal Correlation
161. ICLR 2024VQ-TR: Vector Quantized Attention for Time Series Forecasting
162. ICLR 2024Weakly Supervised Virus Capsid Detection with Image-Level Annotations in Electron Microscopy Images
163. ICLR 2024Yet Another ICU Benchmark: A Flexible Multi-Center Framework for Clinical ML
164. ICML 2024$S^2$IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting
165. ICML 2024A decoder-only foundation model for time-series forecasting
166. ICML 2024A Dual-module Framework for Counterfactual Estimation over Time
167. ICML 2024A Language Model’s Guide Through Latent Space
168. ICML 2024A Linear Time and Space Local Point Cloud Geometry Encoder via Vectorized Kernel Mixture (VecKM)
169. ICML 2024A Near-Linear Time Approximation Algorithm for Beyond-Worst-Case Graph Clustering
170. ICML 2024A Subquadratic Time Algorithm for Robust Sparse Mean Estimation
171. ICML 2024ALERT-Transformer: Bridging Asynchronous and Synchronous Machine Learning for Real-Time Event-based Spatio-Temporal Data
172. ICML 2024An Analysis of Linear Time Series Forecasting Models
173. ICML 2024An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series
174. ICML 2024An Improved Finite-time Analysis of Temporal Difference Learning with Deep Neural Networks
175. ICML 2024An Unsupervised Approach for Periodic Source Detection in Time Series
176. ICML 2024Arrows of Time for Large Language Models
177. ICML 2024BayOTIDE: Bayesian Online Multivariate Time Series Imputation with Functional Decomposition
178. ICML 2024Benign Overfitting in Adversarial Training of Neural Networks
179. ICML 2024Beyond Individual Input for Deep Anomaly Detection on Tabular Data
180. ICML 2024Bridging discrete and continuous state spaces: Exploring the Ehrenfest process in time-continuous diffusion models
181. ICML 2024CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables
182. ICML 2024CauDiTS: Causal Disentangled Domain Adaptation of Multivariate Time Series
183. ICML 2024CLIPZyme: Reaction-Conditioned Virtual Screening of Enzymes
184. ICML 2024Conformal prediction for multi-dimensional time series by ellipsoidal sets
185. ICML 2024Conformalized Adaptive Forecasting of Heterogeneous Trajectories
186. ICML 2024Consistent Adversarially Robust Linear Classification: Non-Parametric Setting
187. ICML 2024Contamination-Resilient Anomaly Detection via Adversarial Learning on Partially-Observed Normal and Anomalous Data
188. ICML 2024Convex Relaxations of ReLU Neural Networks Approximate Global Optima in Polynomial Time
189. ICML 2024Decoding-time Realignment of Language Models
190. ICML 2024Deep Functional Factor Models: Forecasting High-Dimensional Functional Time Series via Bayesian Nonparametric Factorization
191. ICML 2024Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts
192. ICML 2024Discovering Mixtures of Structural Causal Models from Time Series Data
193. ICML 2024Dynamic Correlation Clustering in Sublinear Update Time
194. ICML 2024Dynamic Metric Embedding into lp Space
195. ICML 2024Dynamic Survival Analysis with Controlled Latent States
196. ICML 2024Early Time Classification with Accumulated Accuracy Gap Control
197. ICML 2024ED-Copilot: Reduce Emergency Department Wait Time with Language Model Diagnostic Assistance
198. ICML 2024Efficient and Effective Time-Series Forecasting with Spiking Neural Networks
199. ICML 2024Efficient Denoising Diffusion via Probabilistic Masking
200. ICML 2024EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in 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.