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

585 papers, page 4 of 12

151. ICLR 2025Multi-Resolution Decomposable Diffusion Model for Non-Stationary Time Series Anomaly Detection
152. ICLR 2025Neural Context Flows for Meta-Learning of Dynamical Systems
153. ICLR 2025Neural Functions for Learning Periodic Signal
154. ICLR 2025Node-Time Conditional Prompt Learning in Dynamic Graphs
155. ICLR 2025Noisy Test-Time Adaptation in Vision-Language Models
156. ICLR 2025Nonlinear Sequence Embedding by Monotone Variational Inequality
157. ICLR 2025On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning
158. ICLR 2025On the Adversarial Vulnerability of Label-Free Test-Time Adaptation
159. ICLR 2025Optimal Transport for Time Series Imputation
160. ICLR 2025Oscillatory State-Space Models
161. ICLR 2025PAD: Personalized Alignment of LLMs at Decoding-time
162. ICLR 2025PaPaGei: Open Foundation Models for Optical Physiological Signals
163. ICLR 2025Physiome-ODE: A Benchmark for Irregularly Sampled Multivariate Time-Series Forecasting Based on Biological ODEs
164. ICLR 2025Poisson-Dirac Neural Networks for Modeling Coupled Dynamical Systems across Domains
165. ICLR 2025PPT: Patch Order Do Matters In Time Series Pretext Task
166. ICLR 2025RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data
167. ICLR 2025Robust System Identification: Finite-sample Guarantees and Connection to Regularization
168. ICLR 2025Root Cause Analysis of Anomalies in Multivariate Time Series through Granger Causal Discovery
169. ICLR 2025S4M: S4 for multivariate time series forecasting with Missing values
170. ICLR 2025Scalable Mechanistic Neural Networks
171. ICLR 2025Scaling LLM Test-Time Compute Optimally Can be More Effective than Scaling Parameters for Reasoning
172. ICLR 2025Selective Label Enhancement Learning for Test-Time Adaptation
173. ICLR 2025Self-supervised contrastive learning performs non-linear system identification
174. ICLR 2025Shedding Light on Time Series Classification using Interpretability Gated Networks
175. ICLR 2025Shifting the Paradigm: A Diffeomorphism Between Time Series Data Manifolds for Achieving Shift-Invariancy in Deep Learning
176. ICLR 2025SigDiffusions: Score-Based Diffusion Models for Time Series via Log-Signature Embeddings
177. ICLR 2025SimpleTM: A Simple Baseline for Multivariate Time Series Forecasting
178. ICLR 2025Simplifying, Stabilizing and Scaling Continuous-time Consistency Models
179. ICLR 2025Single-agent Poisoning Attacks Suffice to Ruin Multi-Agent Learning
180. ICLR 2025SMITE: Segment Me In TimE
181. ICLR 2025Specialized Foundation Models Struggle to Beat Supervised Baselines
182. ICLR 2025Stabilized Neural Prediction of Potential Outcomes in Continuous Time
183. ICLR 2025Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models
184. ICLR 2025Synthesizing Realistic fMRI: A Physiological Dynamics-Driven Hierarchical Diffusion Model for Efficient fMRI Acquisition
185. ICLR 2025TD-Paint: Faster Diffusion Inpainting Through Time-Aware Pixel Conditioning
186. ICLR 2025Test-Time Adaptation for Combating Missing Modalities in Egocentric Videos
187. ICLR 2025Test-time Adaptation for Regression by Subspace Alignment
188. ICLR 2025The Case for Cleaner Biosignals: High-fidelity Neural Compressor Enables Transfer from Cleaner iEEG to Noisier EEG
189. ICLR 2025Tight Time Complexities in Parallel Stochastic Optimization with Arbitrary Computation Dynamics
190. ICLR 2025Time After Time: Deep-Q Effect Estimation for Interventions on When and What to do
191. ICLR 2025Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
192. ICLR 2025TimeInf: Time Series Data Contribution via Influence Functions
193. ICLR 2025TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting
194. ICLR 2025TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
195. ICLR 2025Timer-XL: Long-Context Transformers for Unified Time Series Forecasting
196. ICLR 2025Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction
197. ICLR 2025Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders
198. ICLR 2025Towards Neural Scaling Laws for Time Series Foundation Models
199. ICLR 2025TRENDy: Temporal Regression of Effective Nonlinear Dynamics
200. ICLR 2025TS-LIF: A Temporal Segment Spiking Neuron Network for 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.