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

757 papers, page 1 of 16

1. NeurIPS 2026A Batched Hartigan's $k$-Means Clustering
2. NeurIPS 2026A Locally Tokenized Generative Model for Robust Time-Series Watermarking
3. NeurIPS 2026A Minimal Interpretable Architecture for Zero-Shot Reconstruction of Dynamical Systems
4. NeurIPS 2026A Scalable Multi-Task Model for Virtual Sensors
5. NeurIPS 2026A Scalable Nonparametric Continuous-Time Survival Model through Numerical Quadrature
6. NeurIPS 2026ABC: Any-Subset Autoregression via Non-Markovian Diffusion Bridges in Continuous Time and Space
7. NeurIPS 2026Accelerating Safe Reinforcement Learning with Massive Parallelism
8. NeurIPS 2026ADA: Resolving Attribution Ambiguity in End-to-End Power System Dispatch via Two-Time-Scale Stochastic Approximation
9. NeurIPS 2026Adaptive Generate-Rank-Verify: Inference-Time Search with Costly Verification
10. NeurIPS 2026AET-Bench: Pixel-Accurate Atomic Tomography Is Not Atom-Accurate
11. NeurIPS 2026AME-TS: Anchored Mixture-of-Experts for Time Series Forecasting
12. NeurIPS 2026Amortized Linear-time Exact Shapley Value for Product-Kernel Methods
13. NeurIPS 2026Anytime-Valid PAC-Bayes Certificates for Adaptive Test-Time Scaling
14. NeurIPS 2026Archimedean Copula Inference via Taylor-Mode AD
15. NeurIPS 2026At FullTilt: Real-Time Open-Set 3D Macromolecule Detection Directly from Tilted 2D Projections
16. NeurIPS 2026AtmoZero: Self-Play Post-Training for Caption-Free Weather Time-Series Captioning
17. NeurIPS 2026Auditing Conformal Prediction for Language Models Under Inference-Time Model Shift
18. NeurIPS 2026Bayesian Preference Learning for Test-Time Steerable Reward Models
19. NeurIPS 2026Bayesian Test-Time Inference of Task-Aligned Similarity from Weak Interactive Feedback
20. NeurIPS 2026Before It Fades: Reinforcing Temporal Representations at Inference Time in VideoLLMs
21. NeurIPS 2026Benchmarking Sensor-Fault Robustness in Forecasting
22. NeurIPS 2026Best-of-$N$ Guidance for Test-time Diffusion Alignment
23. NeurIPS 2026Beyond Linear Decoders: Dynamic Expert-Coupled Optimal Decoding for Time Series Forecasting
24. NeurIPS 2026Beyond Normal References: Discriminative Few-Shot Anomaly Detection
25. NeurIPS 2026Beyond Single-Shot Conditioning: Test-Time Condition Refinement for Diffusion-Based Image Restoration
26. NeurIPS 2026Beyond Steering Vector: Flow-based Activation Steering for Inference-Time Intervention
27. NeurIPS 2026Beyond Training Time, Test-Time Coordination is Essential for Cooperative MARL
28. NeurIPS 2026Beyond Truthfulness: Evaluating Honesty in Large Language Models
29. NeurIPS 2026Bridging Diffusion and Autoregression for Flexible Time Series Synthesis
30. NeurIPS 2026BucpTSF: Breaking the Uniform Computation Paradigm in Time-Series Forecasting
31. NeurIPS 2026C3VD-DEFCOL: A Deformable Colonoscopy Dataset with Time-Resolved 3D Ground Truth and Realistic Appearance
32. NeurIPS 2026CA-Judge: Teach Large Models to Judge Anomalies via Comparison for Video Anomaly Detection
33. NeurIPS 2026Calibrating Scientific Foundation Models with Inference-Time Stochastic Attention
34. NeurIPS 2026CAST: Causal Anchored Simplex Transport for Distribution-Valued Time Series
35. NeurIPS 2026Causal Discovery under Time-Varying Delays
36. NeurIPS 2026CCTimeBoost: Learning Time-Varying Relative Risk with Case-Control Boosted Trees
37. NeurIPS 2026CLIFT: Conformal Self-Verification for Web Agent Training and Test-Time Scaling
38. NeurIPS 2026ClinStab: Stability-Oriented Learning for Medical Time Series via Dual-Stream Alignment
39. NeurIPS 2026CodeScaler: Scaling Code LLM Training and Test-Time Inference via Reward Models
40. NeurIPS 2026CoLaX: Context-Aware Local Explanations for Time Series Classification
41. NeurIPS 2026Colour me shocked: Exact Molecular Hessians from MLIPs in O(N) time using sparse differentiation!
42. NeurIPS 2026Combating Camouflage and Forgetting: Spatio-Temporal Dual Denoising for Money Laundering Detection
43. NeurIPS 2026COMET: Codebook-based Online-adaptive Multi-scale Embedding for Time-series Anomaly Detection
44. NeurIPS 2026Component-Based Out-of-Distribution Detection
45. NeurIPS 2026Compute Aligned Training: Optimizing for Test Time Inference
46. NeurIPS 2026Conformal Prediction for Time-Dependent PDEs
47. NeurIPS 2026Conservative Continuous-Time Treatment Optimization
48. NeurIPS 2026Consilience for Verifier-Free Test-Time Scaling
49. NeurIPS 2026Continuous-Time Distribution Matching for Few-Step Diffusion Distillation
50. NeurIPS 2026Controlling Temporal Pseudo-Label Marginals for Stable Online Test-Time Adaptation

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.