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

875 papers, page 4 of 18

151. ICLR 2026Enhancing Multivariate Time Series Forecasting with Global Temporal Retrieval
152. ICLR 2026Enhancing Sparse Event Detection in Healthcare Time-Series via Adaptive Gate of Context–Detail Interaction
153. ICLR 2026EVEREST: A Transformer for Probabilistic Rare-Event Anomaly Detection with Evidential and Tail-Aware Uncertainty
154. ICLR 2026Exploring Real-Time Super-Resolution: Benchmarking and Fine-Tuning for Streaming Content
155. ICLR 2026Exposing Mixture and Annotating Confusion for Active Universal Test-Time Adaptation
156. ICLR 2026Extreme Weather Nowcasting via Local Precipitation Pattern Prediction
157. ICLR 2026FACT: Fine-grained Across-variable Convolution for Multivariate Time Series Forecasting
158. ICLR 2026FeDaL: Federated Dataset Learning for General Time Series Foundation Models
159. ICLR 2026Finite-Time Analysis of Actor-Critic Methods with Deep Neural Network Approximation
160. ICLR 2026Finite-Time Convergence Analysis of ODE-based Generative Models for Stochastic Interpolants
161. ICLR 2026Flow-based Conformal Prediction for Multi-dimensional Time Series
162. ICLR 2026Fly-CL: A Fly-Inspired Framework for Enhancing Efficient Decorrelation and Reduced Training Time in Pre-trained Model-based Continual Representation Learning
163. ICLR 2026Free Point-wise Anomaly Detection via Fold-bifurcation
164. ICLR 2026From Curiosity to Caution: Mitigating Reward Hacking for Best-of-$N$ with Pessimism
165. ICLR 2026From Samples to Scenarios: A New Paradigm for Probabilistic Forecasting
166. ICLR 2026GARLIC: Graph Attention-based Relational Learning of Multivariate Time Series in Intensive Care
167. ICLR 2026GCGNet: Graph-Consistent Generative Network for Time Series Forecasting with Exogenous Variables
168. ICLR 2026Generative Diffusion Prior Distillation for Long-Context Knowledge Transfer
169. ICLR 2026GTM: A General Time-series Model for Enhanced Representation Learning of Time-Series data
170. ICLR 2026GuidedSampling: Steering LLMs Towards Diverse Candidate Solutions at Inference-Time
171. ICLR 2026Harnessing Temporal Databases for Systematic Evaluation of Factual Time-Sensitive Question-Answering in LLMs
172. ICLR 2026HiMAE: Hierarchical Masked Autoencoders Discover Resolution-Specific Structure in Wearable Time Series
173. ICLR 2026HiVid: LLM-Guided Video Saliency For Content-Aware VOD And Live Streaming
174. ICLR 2026How to Lose Inherent Counterfactuality in Reinforcement Learning
175. ICLR 2026ICDiffAD: Implicit Conditioning Diffusion Model for Time Series Anomaly Detection
176. ICLR 2026Identifiability Challenges in Sparse Linear Ordinary Differential Equations
177. ICLR 2026IGC-Net for conditional average potential outcome estimation over time
178. ICLR 2026Implicit Models: Expressive Power Scales with Test-Time Compute
179. ICLR 2026In-Place Test-Time Training
180. ICLR 2026Inference-Time Dynamic Modality Selection for Incomplete Multimodal Classification
181. ICLR 2026Inference-Time Personalized Safety Control via Paired Difference-in-Means Intervention
182. ICLR 2026Inoculation Prompting: Eliciting traits from LLMs during training can reduce trait expression at test-time
183. ICLR 2026It's All Connected: A Journey Through Test-Time Memorization, Attentional Bias, Retention, and Online Optimization
184. ICLR 2026Language in the Flow of Time: Time-Series-Paired Texts Weaved into a Unified Temporal Narrative
185. ICLR 2026Latent-to-Data Cascaded Diffusion Models for Unconditional Time Series Generation
186. ICLR 2026Learning in Prophet Inequalities with Noisy Observations
187. ICLR 2026Learning Koopman Representations with Controllability Guarantees
188. ICLR 2026Learning linear state-space models with sparse system matrices
189. ICLR 2026Learning Mixtures of Linear Dynamical Systems (MoLDS) via Hybrid Tensor–EM Method
190. ICLR 2026Learning Recursive Multi-Scale Representations for Irregular Multivariate Time Series Forecasting
191. ICLR 2026Learning Shrinks the Hard Tail: Training‑Dependent Inference Scaling in a Solvable Linear Model
192. ICLR 2026Learning to Solve Orienteering Problem with Time Windows and Variable Profits
193. ICLR 2026Learning-Augmented Moment Estimation on Time-Decay Models
194. ICLR 2026Learning-Time Encoding Shapes Unlearning in LLMs
195. ICLR 2026Local Geometry Attention for Time Series Forecasting under Realistic Corruptions
196. ICLR 2026Lost in the Non-convex Loss Landscape: How to Fine-tune the Large Time Series Model?
197. ICLR 2026Low Rank Transformer for Multivariate Time Series Anomaly Detection and Localization
198. ICLR 2026MambaSL: Exploring Single-Layer Mamba for Time Series Classification
199. ICLR 2026MesaNet: Sequence Modeling by Locally Optimal Test-Time Training
200. ICLR 2026Micro-Macro Coupled Koopman Modeling on Graph for Traffic Flow 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.