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

506 papers, page 6 of 11

251. ICLR 2025DyCAST: Learning Dynamic Causal Structure from Time Series
252. ICLR 2025Effective and Efficient Time-Varying Counterfactual Prediction with State-Space Models
253. ICLR 2025Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement
254. ICLR 2025Efficient Training of Neural Stochastic Differential Equations by Matching Finite Dimensional Distributions
255. ICLR 2025Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs
256. ICLR 2025Efficiently Parameterized Neural Metriplectic Systems
257. ICLR 2025Error-quantified Conformal Inference for Time Series
258. ICLR 2025Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting
259. ICLR 2025FACTS: A Factored State-Space Framework for World Modelling
260. ICLR 2025Fast and Slow Streams for Online Time Series Forecasting Without Information Leakage
261. ICLR 2025Federated Granger Causality Learning For Interdependent Clients With State Space Representation
262. ICLR 2025Feedback Favors the Generalization of Neural ODEs
263. ICLR 2025Filtered not Mixed: Filtering-Based Online Gating for Mixture of Large Language Models
264. ICLR 2025Flash Inference: Near Linear Time Inference for Long Convolution Sequence Models and Beyond
265. ICLR 2025Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting
266. ICLR 2025FreDF: Learning to Forecast in the Frequency Domain
267. ICLR 2025From Layers to States: A State Space Model Perspective to Deep Neural Network Layer Dynamics
268. ICLR 2025Going Beyond Static: Understanding Shifts with Time-Series Attribution
269. ICLR 2025HR-Extreme: A High-Resolution Dataset for Extreme Weather Forecasting
270. ICLR 2025Identifying latent state transitions in non-linear dynamical systems
271. ICLR 2025In-context Time Series Predictor
272. ICLR 2025InstaTrain: Adaptive Training via Ultra-Fast Natural Annealing within Dynamical Systems
273. ICLR 2025Intelligence at the Edge of Chaos
274. ICLR 2025Investigating Pattern Neurons in Urban Time Series Forecasting
275. ICLR 2025Kernel-based Optimally Weighted Conformal Time-Series Prediction
276. ICLR 2025KooNPro: A Variance-Aware Koopman Probabilistic Model Enhanced by Neural Process for Time Series Forecasting
277. ICLR 2025Latent-EnSF: A Latent Ensemble Score Filter for High-Dimensional Data Assimilation with Sparse Observation Data
278. ICLR 2025Learn hybrid prototypes for multivariate time series anomaly detection
279. ICLR 2025Learning Chaos In A Linear Way
280. ICLR 2025Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data
281. ICLR 2025Learning Successor Features with Distributed Hebbian Temporal Memory
282. ICLR 2025Learning the Optimal Stopping for Early Classification within Finite Horizons via Sequential Probability Ratio Test
283. ICLR 2025Learning under Temporal Label Noise
284. ICLR 2025Learning vector fields of differential equations on manifolds with geometrically constrained operator-valued kernels
285. ICLR 2025LevAttention: Time, Space and Streaming Efficient Algorithm for Heavy Attentions
286. ICLR 2025Locally Connected Echo State Networks for Time Series Forecasting
287. ICLR 2025Long-Context Linear System Identification
288. ICLR 2025Long-time asymptotics of noisy SVGD outside the population limit
289. ICLR 2025MamKO: Mamba-based Koopman operator for modeling and predictive control
290. ICLR 2025Mask in the Mirror: Implicit Sparsification
291. ICLR 2025Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling
292. ICLR 2025Model-agnostic meta-learners for estimating heterogeneous treatment effects over time
293. ICLR 2025Modeling Complex System Dynamics with Flow Matching Across Time and Conditions
294. ICLR 2025MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection
295. ICLR 2025MuHBoost: Multi-Label Boosting For Practical Longitudinal Human Behavior Modeling
296. ICLR 2025Multi-Label Test-Time Adaptation with Bound Entropy Minimization
297. ICLR 2025Multi-Resolution Decomposable Diffusion Model for Non-Stationary Time Series Anomaly Detection
298. ICLR 2025Neural Context Flows for Meta-Learning of Dynamical Systems
299. ICLR 2025Neural Functions for Learning Periodic Signal
300. ICLR 2025Node-Time Conditional Prompt Learning in Dynamic Graphs

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.