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 7 of 12

301. ICML 2025Efficient Time Series Processing for Transformers and State-Space Models through Token Merging
302. ICML 2025Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization
303. ICML 2025Exploring Representations and Interventions in Time Series Foundation Models
304. ICML 2025Fast Min-$\epsilon$ Segmented Regression using Constant-Time Segment Merging
305. ICML 2025FIC-TSC: Learning Time Series Classification with Fisher Information Constraint
306. ICML 2025Finite-Time Analysis of Discrete-Time Stochastic Interpolants
307. ICML 2025Finite-Time Convergence Rates in Stochastic Stackelberg Games with Smooth Algorithmic Agents
308. ICML 2025Fixing the Loose Brake: Exponential-Tailed Stopping Time in Best Arm Identification
309. ICML 2025FSTLLM: Spatio-Temporal LLM for Few Shot Time Series Forecasting
310. ICML 2025Fully Dynamic Euclidean Bi-Chromatic Matching in Sublinear Update Time
311. ICML 2025Generating Hypotheses of Dynamic Causal Graphs in Neuroscience: Leveraging Generative Factor Models of Observed Time Series
312. ICML 2025Geometric Resampling in Nearly Linear Time for Follow-the-Perturbed-Leader with Best-of-Both-Worlds Guarantee in Bandit Problems
313. ICML 2025GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers
314. ICML 2025Heterogeneous Treatment Effect in Time-to-Event Outcomes: Harnessing Censored Data with Recursively Imputed Trees
315. ICML 2025Hi-Patch: Hierarchical Patch GNN for Irregular Multivariate Time Series
316. ICML 2025HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting
317. ICML 2025HyperIV: Real-time Implied Volatility Smoothing
318. ICML 2025Improved Learning via k-DTW: A Novel Dissimilarity Measure for Curves
319. ICML 2025IMTS is Worth Time $\times$ Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series Prediction
320. ICML 2025In-Context Fine-Tuning for Time-Series Foundation Models
321. ICML 2025Inference-Time Decomposition of Activations (ITDA): A Scalable Approach to Interpreting Large Language Models
322. ICML 2025Is Best-of-N the Best of Them? Coverage, Scaling, and Optimality in Inference-Time Alignment
323. ICML 2025IT$^3$: Idempotent Test-Time Training
324. ICML 2025ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset
325. ICML 2025KAN-AD: Time Series Anomaly Detection with Kolmogorov–Arnold Networks
326. ICML 2025KoNODE: Koopman-Driven Neural Ordinary Differential Equations with Evolving Parameters for Time Series Analysis
327. ICML 2025LangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy Optimization
328. ICML 2025LAST SToP for Modeling Asynchronous Time Series
329. ICML 2025Latent Variable Estimation in Bayesian Black-Litterman Models
330. ICML 2025Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning
331. ICML 2025Learning Changes in Graphon Attachment Network Models
332. ICML 2025Learning Soft Sparse Shapes for Efficient Time-Series Classification
333. ICML 2025Learning Survival Distributions with the Asymmetric Laplace Distribution
334. ICML 2025Learning Time-Aware Causal Representation for Model Generalization in Evolving Domains
335. ICML 2025Learning Time-Varying Multi-Region Brain Communications via Scalable Markovian Gaussian Processes
336. ICML 2025Learning to (Learn at Test Time): RNNs with Expressive Hidden States
337. ICML 2025Learning with Exact Invariances in Polynomial Time
338. ICML 2025LETS Forecast: Learning Embedology for Time Series Forecasting
339. ICML 2025LightGTS: A Lightweight General Time Series Forecasting Model
340. ICML 2025Lightweight Online Adaption for Time Series Foundation Model Forecasts
341. ICML 2025Linear Transformers as VAR Models: Aligning Autoregressive Attention Mechanisms with Autoregressive Forecasting
342. ICML 2025LOB-Bench: Benchmarking Generative AI for Finance - an Application to Limit Order Book Data
343. ICML 2025LSCD: Lomb--Scargle Conditioned Diffusion for Time series Imputation
344. ICML 2025Masked Generative Nested Transformers with Decode Time Scaling
345. ICML 2025Measuring In-Context Computation Complexity via Hidden State Prediction
346. ICML 2025Mirror, Mirror of the Flow: How Does Regularization Shape Implicit Bias?
347. ICML 2025Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts
348. ICML 2025MTSTRec: Multimodal Time-Aligned Shared Token Recommender
349. ICML 2025Non-stationary Diffusion For Probabilistic Time Series Forecasting
350. ICML 2025Nonlinear transformers can perform inference-time feature learning

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.