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 7 of 12

301. ICML 2025Position: It Is Time We Test Neural Computation In Vitro
302. ICML 2025Privacy Amplification by Structured Subsampling for Deep Differentially Private Time Series Forecasting
303. ICML 2025ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation
304. ICML 2025Provable Length Generalization in Sequence Prediction via Spectral Filtering
305. ICML 2025PTTA: Purifying Malicious Samples for Test-Time Model Adaptation
306. ICML 2025Quantifying Memory Utilization with Effective State-Size
307. ICML 2025Ranked Entropy Minimization for Continual Test-Time Adaptation
308. ICML 2025Reinforcement Learning with Random Time Horizons
309. ICML 2025Relational Conformal Prediction for Correlated Time Series
310. ICML 2025Residual TPP: A Unified Lightweight Approach for Event Stream Data Analysis
311. ICML 2025Rethinking Time Encoding via Learnable Transformation Functions
312. ICML 2025Retrieval Augmented Time Series Forecasting
313. ICML 2025Ringmaster ASGD: The First Asynchronous SGD with Optimal Time Complexity
314. ICML 2025Risk and cross validation in ridge regression with correlated samples
315. ICML 2025Robust Spatio-Temporal Centralized Interaction for OOD Learning
316. ICML 2025Sample Complexity of Correlation Detection in the Gaussian Wigner Model
317. ICML 2025Sample, Scrutinize and Scale: Effective Inference-Time Search by Scaling Verification
318. ICML 2025SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer
319. ICML 2025SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations
320. ICML 2025SEAD: Unsupervised Ensemble of Streaming Anomaly Detectors
321. ICML 2025Self-Bootstrapping for Versatile Test-Time Adaptation
322. ICML 2025Shifting Time: Time-series Forecasting with Khatri-Rao Neural Operators
323. ICML 2025SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting
324. ICML 2025Slimming the Fat-Tail: Morphing-Flow for Adaptive Time Series Modeling
325. ICML 2025SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds
326. ICML 2025Spectral-Aware Reservoir Computing for Fast and Accurate Time Series Classification
327. ICML 2025SpikF: Spiking Fourier Network for Efficient Long-term Prediction
328. ICML 2025Sundial: A Family of Highly Capable Time Series Foundation Models
329. ICML 2025Survival Analysis via Density Estimation
330. ICML 2025Temporal Query Network for Efficient Multivariate Time Series Forecasting
331. ICML 2025Test-Time Adaptation with Binary Feedback
332. ICML 2025Test-time Adapted Reinforcement Learning with Action Entropy Regularization
333. ICML 2025Test-time Correlation Alignment
334. ICML 2025Test-Time Preference Optimization: On-the-Fly Alignment via Iterative Textual Feedback
335. ICML 2025Test-Time Selective Adaptation for Uni-Modal Distribution Shift in Multi-Modal Data
336. ICML 2025Test-Time Training Provably Improves Transformers as In-context Learners
337. ICML 2025The Global Convergence Time of Stochastic Gradient Descent in Non-Convex Landscapes: Sharp Estimates via Large Deviations
338. ICML 2025The Price of Linear Time: Error Analysis of Structured Kernel Interpolation
339. ICML 2025Time Series Representations with Hard-Coded Invariances
340. ICML 2025Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time
341. ICML 2025Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting
342. ICML 2025TimeBase: The Power of Minimalism in Efficient Long-term Time Series Forecasting
343. ICML 2025TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting
344. ICML 2025TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation
345. ICML 2025TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting
346. ICML 2025TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning
347. ICML 2025TimePro: Efficient Multivariate Long-term Time Series Forecasting with Variable- and Time-Aware Hyper-state
348. ICML 2025TimeStacker: A Novel Framework with Multilevel Observation for Capturing Nonstationary Patterns in Time Series Forecasting
349. ICML 2025TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation
350. ICML 2025Towards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer

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.