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 9 of 12

401. NeurIPS 2025Continuous Soft Actor-Critic: An Off-Policy Learning Method Robust to Time Discretization
402. NeurIPS 2025Continuous-time Riemannian SGD and SVRG Flows on Wasserstein Probabilistic Space
403. NeurIPS 2025CrossAD: Time Series Anomaly Detection with Cross-scale Associations and Cross-window Modeling
404. NeurIPS 2025DAAC: Discrepancy-Aware Adaptive Contrastive Learning for Medical Time series
405. NeurIPS 2025DBLoss: Decomposition-based Loss Function for Time Series Forecasting
406. NeurIPS 2025DCAD-2000: A Multilingual Dataset across 2000+ Languages with Data Cleaning as Anomaly Detection
407. NeurIPS 2025DecompNet: Enhancing Time Series Forecasting Models with Implicit Decomposition
408. NeurIPS 2025Decomposing motor units through elimination for real-time intention driven assistive neurotechnology
409. NeurIPS 2025Deep Continuous-Time State-Space Models for Marked Event Sequences
410. NeurIPS 2025Delving into Large Language Models for Effective Time-Series Anomaly Detection
411. NeurIPS 2025DGS-LRM: Real-Time Deformable 3D Gaussian Reconstruction From Monocular Videos
412. NeurIPS 2025Diffusion Transformers for Imputation: Statistical Efficiency and Uncertainty Quantification
413. NeurIPS 2025Dimension-free Score Matching and Time Bootstrapping for Diffusion Models
414. NeurIPS 2025Does Thinking More Always Help? Mirage of Test-Time Scaling in Reasoning Models
415. NeurIPS 2025Dual-Stage Value-Guided Inference with Margin-Based Reward Adjustment for Fast and Faithful VLM Captioning
416. NeurIPS 2025DynaGuide: Steering Diffusion Polices with Active Dynamic Guidance
417. NeurIPS 2025Dynamical modeling of nonlinear latent factors in multiscale neural activity with real-time inference
418. NeurIPS 2025EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test
419. NeurIPS 2025Enhancing the Maximum Effective Window for Long-Term Time Series Forecasting
420. NeurIPS 2025Entropic Time Schedulers for Generative Diffusion Models
421. NeurIPS 2025Equivariant Eikonal Neural Networks: Grid-Free, Scalable Travel-Time Prediction on Homogeneous Spaces
422. NeurIPS 2025Every Rollout Counts: Optimal Resource Allocation for Efficient Test-Time Scaling
423. NeurIPS 2025EvoBrain: Dynamic Multi-Channel EEG Graph Modeling for Time-Evolving Brain Networks
424. NeurIPS 2025Exact Expressive Power of Transformers with Padding
425. NeurIPS 2025Exploring Neural Granger Causality with xLSTMs: Unveiling Temporal Dependencies in Complex Data
426. NeurIPS 2025Feed-Forward Bullet-Time Reconstruction of Dynamic Scenes from Monocular Videos
427. NeurIPS 2025FEEL: Quantifying Heterogeneity in Physiological Signals for Generalizable Emotion Recognition
428. NeurIPS 2025Finite Sample Analyses for Continuous-time Linear Systems: System Identification and Online Control
429. NeurIPS 2025Finite-Time Analysis of Stochastic Nonconvex Nonsmooth Optimization on the Riemannian Manifolds
430. NeurIPS 2025Finite-Time Bounds for Average-Reward Fitted Q-Iteration
431. NeurIPS 2025Flow based approach for Dynamic Temporal Causal models with non-Gaussian or Heteroscedastic Noises
432. NeurIPS 2025Forecasting in Offline Reinforcement Learning for Non-stationary Environments
433. NeurIPS 2025Forging Time Series with Language: A Large Language Model Approach to Synthetic Data Generation
434. NeurIPS 2025Fortifying Time Series: DTW-Certified Robust Anomaly Detection
435. NeurIPS 2025Fractional Langevin Dynamics for Combinatorial Optimization via Polynomial-Time Escape
436. NeurIPS 2025From Indicators to Insights: Diversity-Optimized for Medical Series-Text Decoding via LLMs
437. NeurIPS 2025Functional Virtual Adversarial Training for Semi-Supervised Time Series Classification
438. NeurIPS 2025GEM: Empowering MLLM for Grounded ECG Understanding with Time Series and Images
439. NeurIPS 2025Generating Multi-Table Time Series EHR from Latent Space with Minimal Preprocessing
440. NeurIPS 2025Glocal Information Bottleneck for Time Series Imputation
441. NeurIPS 2025Gradient-Weight Alignment as a Train-Time Proxy for Generalization in Classification Tasks
442. NeurIPS 2025GST-UNet: A Neural Framework for Spatiotemporal Causal Inference with Time-Varying Confounding
443. NeurIPS 2025Hamiltonian Descent Algorithms for Optimization: Accelerated Rates via Randomized Integration Time
444. NeurIPS 2025Heavy-Ball Momentum Method in Continuous Time and Discretization Error Analysis
445. NeurIPS 2025High Dynamic Range Imaging with Time-Encoding Spike Camera
446. NeurIPS 2025How Different from the Past? Spatio-Temporal Time Series Forecasting with Self-Supervised Deviation Learning
447. NeurIPS 2025How Patterns Dictate Learnability in Sequential Data
448. NeurIPS 2025Improving Generalization of Neural Combinatorial Optimization for Vehicle Routing Problems via Test-Time Projection Learning
449. NeurIPS 2025Improving Time Series Forecasting via Instance-aware Post-hoc Revision
450. NeurIPS 2025Inference-time Alignment in Continuous Space

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.