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 8 of 12

351. ICML 2025Towards a Unified Framework of Clustering-based Anomaly Detection
352. ICML 2025Towards Memorization Estimation: Fast, Formal and Free
353. ICML 2025Training High Performance Spiking Neural Network by Temporal Model Calibration
354. ICML 2025TransPL: VQ-Code Transition Matrices for Pseudo-Labeling of Time Series Unsupervised Domain Adaptation
355. ICML 2025TTFSFormer: A TTFS-based Lossless Conversion of Spiking Transformer
356. ICML 2025Understanding and Improving Length Generalization in Recurrent Models
357. ICML 2025UnHiPPO: Uncertainty-aware Initialization for State Space Models
358. ICML 2025UniSim: A Unified Simulator for Time-Coarsened Dynamics of Biomolecules
359. ICML 2025VerbalTS: Generating Time Series from Texts
360. ICML 2025VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters
361. ICML 2025WAVE: Weighted Autoregressive Varying Gate for Time Series Forecasting
362. ICML 2025When Every Millisecond Counts: Real-Time Anomaly Detection via the Multimodal Asynchronous Hybrid Network
363. ICML 2025When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series
364. ICML 2025Winner-takes-all for Multivariate Probabilistic Time Series Forecasting
365. NeurIPS 2025$\Psi$-Sampler: Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score Models
366. NeurIPS 20254D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time
367. NeurIPS 2025A Diffusion Model for Regular Time Series Generation from Irregular Data with Completion and Masking
368. NeurIPS 2025A Geometry-Aware Metric for Mode Collapse in Time Series Generative Models
369. NeurIPS 2025A Learning-Augmented Dynamic Programming Approach for Orienteering Problem with Time Windows
370. NeurIPS 2025A Multimodal BiMamba Network with Test-Time Adaptation for Emotion Recognition Based on Physiological Signals
371. NeurIPS 2025A Semantic Parsing Framework for End-to-End Time Normalization
372. NeurIPS 2025Abstain Mask Retain Core: Time Series Prediction by Adaptive Masking Loss with Representation Consistency
373. NeurIPS 2025Accelerating Optimization via Differentiable Stopping Time
374. NeurIPS 2025Adaptive Inference-Time Scaling via Cyclic Diffusion Search
375. NeurIPS 2025Adaptive Quantization in Generative Flow Networks for Probabilistic Sequential Prediction
376. NeurIPS 2025Adaptive Time Encoding for Irregular Multivariate Time-Series Classification
377. NeurIPS 2025AdaTS: Learning Adaptive Time Series Representations via Dynamic Soft Contrasts
378. NeurIPS 2025ADPretrain: Advancing Industrial Anomaly Detection via Anomaly Representation Pretraining
379. NeurIPS 2025Agentic Plan Caching: Test-Time Memory for Fast and Cost-Efficient LLM Agents
380. NeurIPS 2025Agnostic Continuous-Time Online Learning
381. NeurIPS 2025Aha! - Predicting What Matters Next: Online Highlight Detection Without Looking Ahead
382. NeurIPS 2025Align Your Flow: Scaling Continuous-Time Flow Map Distillation
383. NeurIPS 2025AliO: Output Alignment Matters in Long-Term Time Series Forecasting
384. NeurIPS 2025An Evidence-Based Post-Hoc Adjustment Framework for Anomaly Detection Under Data Contamination
385. NeurIPS 2025Anomaly Detection by an Ensemble of Random Pairs of Hyperspheres
386. NeurIPS 2025Assignments for Congestion-Averse Agents: Seeking Competitive and Envy-Free Solutions
387. NeurIPS 2025Atom of Thoughts for Markov LLM Test-Time Scaling
388. NeurIPS 2025Attention (as Discrete-Time Markov) Chains
389. NeurIPS 2025Backpropagation-Free Test-Time Adaptation via Probabilistic Gaussian Alignment
390. NeurIPS 2025BioOSS: A Bio-Inspired Oscillatory State System with Spatio-Temporal Dynamics
391. NeurIPS 2025Breakthrough Sensor-Limited Single View: Towards Implicit Temporal Dynamics for Time Series Domain Adaptation
392. NeurIPS 2025Bridging Time and Linguistics: LLMs as Time Series Analyzer through Symbolization and Segmentation
393. NeurIPS 2025Buffer layers for Test-Time Adaptation
394. NeurIPS 2025CarbonGlobe: A Global-Scale, Multi-Decade Dataset and Benchmark for Carbon Forecasting in Forest Ecosystems
395. NeurIPS 2025CARE: Decoding-Time Safety Alignment via Rollback and Introspection Intervention
396. NeurIPS 2025Channel Matters: Estimating Channel Influence for Multivariate Time Series
397. NeurIPS 2025Concept Incongruence: An Exploration of Time and Death in Role Playing
398. NeurIPS 2025Conformal Prediction for Time-series Forecasting with Change Points
399. NeurIPS 2025Constrained Posterior Sampling: Time Series Generation with Hard Constraints
400. NeurIPS 2025Contimask: Explaining Irregular Time Series via Perturbations in Continuous Time

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.