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

599 papers, page 6 of 12

251. ICML 2026TsLLM: Augmenting LLMs for General Time Series Understanding and Prediction
252. ICML 2026TSRBench: A Comprehensive Multi-task Multi-modal Time Series Reasoning Benchmark for Generalist Models
253. ICML 2026Unfolded Laplacian Spectral Embedding: A Theoretically Grounded Approach to Dynamic Network Representation
254. ICML 2026Unified Time Series Explanations via Amortized Optimization and Instance-level Multi-Expert Knowledge Distillation
255. ICML 2026Universal Redundancies in Time Series Foundation Models
256. ICML 2026WaveSSM: Multiscale State-Space Models for Non-stationary Signal Attention
257. ICML 2026What if Tomorrow is the World Cup Final? Counterfactual Time Series Forecasting with Textual Conditions
258. ICML 2026What If We Allocate Test-Time Compute Adaptively?
259. ICML 2026What If We Let Forecasting Forget? A Sparse Bottleneck for Cross-Variable Dependencies
260. ICML 2026WildCat: Near-Linear Attention in Theory and Practice
261. ICML 2026Winformer: Transcending Pairwise Similarity for Time-series Generation
262. ICML 2026Words Towards Explainability: Caption Label-Free Learning via Dual Loop Agentic Time Series Captioning
263. ICML 2026ZeroDiff: Zero-Shot Time Series Reconstruction via Informed-Prior Diffusion
264. ICML 2026Zeus: Towards Tuning-Free Foundation Model for Time Series Analysis
265. ICML 2025$K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting
266. ICML 2025A Closer Look at Transformers for Time Series Forecasting: Understanding Why They Work and Where They Struggle
267. ICML 2025A Generalizable Physics-Enhanced State Space Model for Long-Term Dynamics Forecasting in Complex Environments
268. ICML 2025A Non-isotropic Time Series Diffusion Model with Moving Average Transitions
269. ICML 2025Active Learning with Selective Time-Step Acquisition for PDEs
270. ICML 2025AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting
271. ICML 2025AEQA-NAT : Adaptive End-to-end Quantization Alignment Training Framework for Non-autoregressive Machine Translation
272. ICML 2025An Architecture Search Framework for Inference-Time Techniques
273. ICML 2025An Online Adaptive Sampling Algorithm for Stochastic Difference-of-convex Optimization with Time-varying Distributions
274. ICML 2025Anytime-Constrained Equilibria in Polynomial Time
275. ICML 2025Arrow: Accelerator for Time Series Causal Discovery with Time Weaving
276. ICML 2025Automatic Differentiation of Optimization Algorithms with Time-Varying Updates
277. ICML 2025Bayesian Basis Function Approximation for Scalable Gaussian Process Priors in Deep Generative Models
278. ICML 2025BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute
279. ICML 2025Beyond Entropy: Region Confidence Proxy for Wild Test-Time Adaptation
280. ICML 2025Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting
281. ICML 2025BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling
282. ICML 2025Calibrating Video Watch-time Predictions with Credible Prototype Alignment
283. ICML 2025Categorical Schrödinger Bridge Matching
284. ICML 2025Causal Discovery from Conditionally Stationary Time Series
285. ICML 2025Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection
286. ICML 2025CFPT: Empowering Time Series Forecasting through Cross-Frequency Interaction and Periodic-Aware Timestamp Modeling
287. ICML 2025Channel Normalization for Time Series Channel Identification
288. ICML 2025CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial Correlations
289. ICML 2025Conditional Diffusion Model with Nonlinear Data Transformation for Time Series Forecasting
290. ICML 2025Conformal Anomaly Detection in Event Sequences
291. ICML 2025Context is Key: A Benchmark for Forecasting with Essential Textual Information
292. ICML 2025Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games
293. ICML 2025Continuously Updating Digital Twins using Large Language Models
294. ICML 2025Demeaned Sparse: Efficient Anomaly Detection by Residual Estimate
295. ICML 2025Deterministic Sparse Fourier Transform for Continuous Signals with Frequency Gap
296. ICML 2025Discovering Latent Causal Graphs from Spatiotemporal Data
297. ICML 2025Discovering Physics Laws of Dynamical Systems via Invariant Function Learning
298. ICML 2025Discrepancy Minimization in Input-Sparsity Time
299. ICML 2025Efficient Parallel Training Methods for Spiking Neural Networks with Constant Time Complexity
300. ICML 2025Efficient Personalized Adaptation for Physiological Signal Foundation Model

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.