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

221 papers, page 1 of 5

1. NeurIPS 2025$\Psi$-Sampler: Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score Models
2. NeurIPS 20254D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time
3. NeurIPS 2025A Diffusion Model for Regular Time Series Generation from Irregular Data with Completion and Masking
4. NeurIPS 2025A Geometry-Aware Metric for Mode Collapse in Time Series Generative Models
5. NeurIPS 2025A Learning-Augmented Dynamic Programming Approach for Orienteering Problem with Time Windows
6. NeurIPS 2025A Multimodal BiMamba Network with Test-Time Adaptation for Emotion Recognition Based on Physiological Signals
7. NeurIPS 2025A Semantic Parsing Framework for End-to-End Time Normalization
8. NeurIPS 2025Abstain Mask Retain Core: Time Series Prediction by Adaptive Masking Loss with Representation Consistency
9. NeurIPS 2025Accelerating Optimization via Differentiable Stopping Time
10. NeurIPS 2025Adaptive Inference-Time Scaling via Cyclic Diffusion Search
11. NeurIPS 2025Adaptive Quantization in Generative Flow Networks for Probabilistic Sequential Prediction
12. NeurIPS 2025Adaptive Time Encoding for Irregular Multivariate Time-Series Classification
13. NeurIPS 2025AdaTS: Learning Adaptive Time Series Representations via Dynamic Soft Contrasts
14. NeurIPS 2025ADPretrain: Advancing Industrial Anomaly Detection via Anomaly Representation Pretraining
15. NeurIPS 2025Agentic Plan Caching: Test-Time Memory for Fast and Cost-Efficient LLM Agents
16. NeurIPS 2025Agnostic Continuous-Time Online Learning
17. NeurIPS 2025Aha! - Predicting What Matters Next: Online Highlight Detection Without Looking Ahead
18. NeurIPS 2025Align Your Flow: Scaling Continuous-Time Flow Map Distillation
19. NeurIPS 2025AliO: Output Alignment Matters in Long-Term Time Series Forecasting
20. NeurIPS 2025An Evidence-Based Post-Hoc Adjustment Framework for Anomaly Detection Under Data Contamination
21. NeurIPS 2025Anomaly Detection by an Ensemble of Random Pairs of Hyperspheres
22. NeurIPS 2025Assignments for Congestion-Averse Agents: Seeking Competitive and Envy-Free Solutions
23. NeurIPS 2025Atom of Thoughts for Markov LLM Test-Time Scaling
24. NeurIPS 2025Attention (as Discrete-Time Markov) Chains
25. NeurIPS 2025Backpropagation-Free Test-Time Adaptation via Probabilistic Gaussian Alignment
26. NeurIPS 2025BioOSS: A Bio-Inspired Oscillatory State System with Spatio-Temporal Dynamics
27. NeurIPS 2025Breakthrough Sensor-Limited Single View: Towards Implicit Temporal Dynamics for Time Series Domain Adaptation
28. NeurIPS 2025Bridging Time and Linguistics: LLMs as Time Series Analyzer through Symbolization and Segmentation
29. NeurIPS 2025Buffer layers for Test-Time Adaptation
30. NeurIPS 2025CarbonGlobe: A Global-Scale, Multi-Decade Dataset and Benchmark for Carbon Forecasting in Forest Ecosystems
31. NeurIPS 2025CARE: Decoding-Time Safety Alignment via Rollback and Introspection Intervention
32. NeurIPS 2025Channel Matters: Estimating Channel Influence for Multivariate Time Series
33. NeurIPS 2025Concept Incongruence: An Exploration of Time and Death in Role Playing
34. NeurIPS 2025Conformal Prediction for Time-series Forecasting with Change Points
35. NeurIPS 2025Constrained Posterior Sampling: Time Series Generation with Hard Constraints
36. NeurIPS 2025Contimask: Explaining Irregular Time Series via Perturbations in Continuous Time
37. NeurIPS 2025Continuous Soft Actor-Critic: An Off-Policy Learning Method Robust to Time Discretization
38. NeurIPS 2025Continuous-time Riemannian SGD and SVRG Flows on Wasserstein Probabilistic Space
39. NeurIPS 2025CrossAD: Time Series Anomaly Detection with Cross-scale Associations and Cross-window Modeling
40. NeurIPS 2025DAAC: Discrepancy-Aware Adaptive Contrastive Learning for Medical Time series
41. NeurIPS 2025DBLoss: Decomposition-based Loss Function for Time Series Forecasting
42. NeurIPS 2025DCAD-2000: A Multilingual Dataset across 2000+ Languages with Data Cleaning as Anomaly Detection
43. NeurIPS 2025DecompNet: Enhancing Time Series Forecasting Models with Implicit Decomposition
44. NeurIPS 2025Decomposing motor units through elimination for real-time intention driven assistive neurotechnology
45. NeurIPS 2025Deep Continuous-Time State-Space Models for Marked Event Sequences
46. NeurIPS 2025Delving into Large Language Models for Effective Time-Series Anomaly Detection
47. NeurIPS 2025DGS-LRM: Real-Time Deformable 3D Gaussian Reconstruction From Monocular Videos
48. NeurIPS 2025Diffusion Transformers for Imputation: Statistical Efficiency and Uncertainty Quantification
49. NeurIPS 2025Dimension-free Score Matching and Time Bootstrapping for Diffusion Models
50. NeurIPS 2025Does Thinking More Always Help? Mirage of Test-Time Scaling in Reasoning 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.