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 6 of 12

251. ICML 2025Fully Dynamic Euclidean Bi-Chromatic Matching in Sublinear Update Time
252. ICML 2025Generating Hypotheses of Dynamic Causal Graphs in Neuroscience: Leveraging Generative Factor Models of Observed Time Series
253. ICML 2025Geometric Resampling in Nearly Linear Time for Follow-the-Perturbed-Leader with Best-of-Both-Worlds Guarantee in Bandit Problems
254. ICML 2025GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers
255. ICML 2025Heterogeneous Treatment Effect in Time-to-Event Outcomes: Harnessing Censored Data with Recursively Imputed Trees
256. ICML 2025Hi-Patch: Hierarchical Patch GNN for Irregular Multivariate Time Series
257. ICML 2025HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting
258. ICML 2025HyperIV: Real-time Implied Volatility Smoothing
259. ICML 2025Improved Learning via k-DTW: A Novel Dissimilarity Measure for Curves
260. ICML 2025IMTS is Worth Time $\times$ Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series Prediction
261. ICML 2025In-Context Fine-Tuning for Time-Series Foundation Models
262. ICML 2025Inference-Time Decomposition of Activations (ITDA): A Scalable Approach to Interpreting Large Language Models
263. ICML 2025Is Best-of-N the Best of Them? Coverage, Scaling, and Optimality in Inference-Time Alignment
264. ICML 2025IT$^3$: Idempotent Test-Time Training
265. ICML 2025ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset
266. ICML 2025KAN-AD: Time Series Anomaly Detection with Kolmogorov–Arnold Networks
267. ICML 2025KoNODE: Koopman-Driven Neural Ordinary Differential Equations with Evolving Parameters for Time Series Analysis
268. ICML 2025LangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy Optimization
269. ICML 2025LAST SToP for Modeling Asynchronous Time Series
270. ICML 2025Latent Variable Estimation in Bayesian Black-Litterman Models
271. ICML 2025Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning
272. ICML 2025Learning Changes in Graphon Attachment Network Models
273. ICML 2025Learning Soft Sparse Shapes for Efficient Time-Series Classification
274. ICML 2025Learning Survival Distributions with the Asymmetric Laplace Distribution
275. ICML 2025Learning Time-Aware Causal Representation for Model Generalization in Evolving Domains
276. ICML 2025Learning Time-Varying Multi-Region Brain Communications via Scalable Markovian Gaussian Processes
277. ICML 2025Learning to (Learn at Test Time): RNNs with Expressive Hidden States
278. ICML 2025Learning with Exact Invariances in Polynomial Time
279. ICML 2025LETS Forecast: Learning Embedology for Time Series Forecasting
280. ICML 2025LightGTS: A Lightweight General Time Series Forecasting Model
281. ICML 2025Lightweight Online Adaption for Time Series Foundation Model Forecasts
282. ICML 2025Linear Transformers as VAR Models: Aligning Autoregressive Attention Mechanisms with Autoregressive Forecasting
283. ICML 2025LOB-Bench: Benchmarking Generative AI for Finance - an Application to Limit Order Book Data
284. ICML 2025LSCD: Lomb--Scargle Conditioned Diffusion for Time series Imputation
285. ICML 2025Masked Generative Nested Transformers with Decode Time Scaling
286. ICML 2025Measuring In-Context Computation Complexity via Hidden State Prediction
287. ICML 2025Mirror, Mirror of the Flow: How Does Regularization Shape Implicit Bias?
288. ICML 2025Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts
289. ICML 2025MTSTRec: Multimodal Time-Aligned Shared Token Recommender
290. ICML 2025Non-stationary Diffusion For Probabilistic Time Series Forecasting
291. ICML 2025Nonlinear transformers can perform inference-time feature learning
292. ICML 2025Not All Tokens Matter All The Time: Dynamic Token Aggregation Towards Efficient Detection Transformers
293. ICML 2025OmiAD: One-Step Adaptive Masked Diffusion Model for Multi-class Anomaly Detection via Adversarial Distillation
294. ICML 2025Optimal Information Retention for Time-Series Explanations
295. ICML 2025Optimization Proxies using Limited Labeled Data and Training Time -- A Semi-Supervised Bayesian Neural Network Approach
296. ICML 2025Optimizing Language Models for Inference Time Objectives using Reinforcement Learning
297. ICML 2025Patch-wise Structural Loss for Time Series Forecasting
298. ICML 2025Polynomial Time Learning Augmented Algorithms for NP-hard Permutation Problems
299. ICML 2025Polynomial-Time Approximability of Constrained Reinforcement Learning
300. ICML 2025Portable Reward Tuning: Towards Reusable Fine-Tuning across Different Pretrained Models

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.