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 5 of 12

201. ICLR 2025TSC-Net: Prediction of Pedestrian Trajectories by Trajectory-Scene-Cell Classification
202. ICLR 2025TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram
203. ICLR 2025TVNet: A Novel Time Series Analysis Method Based on Dynamic Convolution and 3D-Variation
204. ICLR 2025Zero-shot Imputation with Foundation Inference Models for Dynamical Systems
205. ICLR 2025Zero-shot Model-based Reinforcement Learning using Large Language Models
206. ICML 2025$K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting
207. ICML 2025A Closer Look at Transformers for Time Series Forecasting: Understanding Why They Work and Where They Struggle
208. ICML 2025A Generalizable Physics-Enhanced State Space Model for Long-Term Dynamics Forecasting in Complex Environments
209. ICML 2025A Non-isotropic Time Series Diffusion Model with Moving Average Transitions
210. ICML 2025Active Learning with Selective Time-Step Acquisition for PDEs
211. ICML 2025AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting
212. ICML 2025AEQA-NAT : Adaptive End-to-end Quantization Alignment Training Framework for Non-autoregressive Machine Translation
213. ICML 2025An Architecture Search Framework for Inference-Time Techniques
214. ICML 2025An Online Adaptive Sampling Algorithm for Stochastic Difference-of-convex Optimization with Time-varying Distributions
215. ICML 2025Anytime-Constrained Equilibria in Polynomial Time
216. ICML 2025Arrow: Accelerator for Time Series Causal Discovery with Time Weaving
217. ICML 2025Automatic Differentiation of Optimization Algorithms with Time-Varying Updates
218. ICML 2025Bayesian Basis Function Approximation for Scalable Gaussian Process Priors in Deep Generative Models
219. ICML 2025BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute
220. ICML 2025Beyond Entropy: Region Confidence Proxy for Wild Test-Time Adaptation
221. ICML 2025Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting
222. ICML 2025BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling
223. ICML 2025Calibrating Video Watch-time Predictions with Credible Prototype Alignment
224. ICML 2025Categorical Schrödinger Bridge Matching
225. ICML 2025Causal Discovery from Conditionally Stationary Time Series
226. ICML 2025Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection
227. ICML 2025CFPT: Empowering Time Series Forecasting through Cross-Frequency Interaction and Periodic-Aware Timestamp Modeling
228. ICML 2025Channel Normalization for Time Series Channel Identification
229. ICML 2025CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial Correlations
230. ICML 2025Conditional Diffusion Model with Nonlinear Data Transformation for Time Series Forecasting
231. ICML 2025Conformal Anomaly Detection in Event Sequences
232. ICML 2025Context is Key: A Benchmark for Forecasting with Essential Textual Information
233. ICML 2025Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games
234. ICML 2025Continuously Updating Digital Twins using Large Language Models
235. ICML 2025Demeaned Sparse: Efficient Anomaly Detection by Residual Estimate
236. ICML 2025Deterministic Sparse Fourier Transform for Continuous Signals with Frequency Gap
237. ICML 2025Discovering Latent Causal Graphs from Spatiotemporal Data
238. ICML 2025Discovering Physics Laws of Dynamical Systems via Invariant Function Learning
239. ICML 2025Discrepancy Minimization in Input-Sparsity Time
240. ICML 2025Efficient Parallel Training Methods for Spiking Neural Networks with Constant Time Complexity
241. ICML 2025Efficient Personalized Adaptation for Physiological Signal Foundation Model
242. ICML 2025Efficient Time Series Processing for Transformers and State-Space Models through Token Merging
243. ICML 2025Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization
244. ICML 2025Exploring Representations and Interventions in Time Series Foundation Models
245. ICML 2025Fast Min-$\epsilon$ Segmented Regression using Constant-Time Segment Merging
246. ICML 2025FIC-TSC: Learning Time Series Classification with Fisher Information Constraint
247. ICML 2025Finite-Time Analysis of Discrete-Time Stochastic Interpolants
248. ICML 2025Finite-Time Convergence Rates in Stochastic Stackelberg Games with Smooth Algorithmic Agents
249. ICML 2025Fixing the Loose Brake: Exponential-Tailed Stopping Time in Best Arm Identification
250. ICML 2025FSTLLM: Spatio-Temporal LLM for Few Shot 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.