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 8 of 16

351. NeurIPS 2025Dynamical modeling of nonlinear latent factors in multiscale neural activity with real-time inference
352. NeurIPS 2025EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test
353. NeurIPS 2025Enhancing the Maximum Effective Window for Long-Term Time Series Forecasting
354. NeurIPS 2025Entropic Time Schedulers for Generative Diffusion Models
355. NeurIPS 2025Equivariant Eikonal Neural Networks: Grid-Free, Scalable Travel-Time Prediction on Homogeneous Spaces
356. NeurIPS 2025Every Rollout Counts: Optimal Resource Allocation for Efficient Test-Time Scaling
357. NeurIPS 2025EvoBrain: Dynamic Multi-Channel EEG Graph Modeling for Time-Evolving Brain Networks
358. NeurIPS 2025Exact Expressive Power of Transformers with Padding
359. NeurIPS 2025Exploring Neural Granger Causality with xLSTMs: Unveiling Temporal Dependencies in Complex Data
360. NeurIPS 2025Feed-Forward Bullet-Time Reconstruction of Dynamic Scenes from Monocular Videos
361. NeurIPS 2025FEEL: Quantifying Heterogeneity in Physiological Signals for Generalizable Emotion Recognition
362. NeurIPS 2025Finite Sample Analyses for Continuous-time Linear Systems: System Identification and Online Control
363. NeurIPS 2025Finite-Time Analysis of Stochastic Nonconvex Nonsmooth Optimization on the Riemannian Manifolds
364. NeurIPS 2025Finite-Time Bounds for Average-Reward Fitted Q-Iteration
365. NeurIPS 2025Flow based approach for Dynamic Temporal Causal models with non-Gaussian or Heteroscedastic Noises
366. NeurIPS 2025Forecasting in Offline Reinforcement Learning for Non-stationary Environments
367. NeurIPS 2025Forging Time Series with Language: A Large Language Model Approach to Synthetic Data Generation
368. NeurIPS 2025Fortifying Time Series: DTW-Certified Robust Anomaly Detection
369. NeurIPS 2025Fractional Langevin Dynamics for Combinatorial Optimization via Polynomial-Time Escape
370. NeurIPS 2025From Indicators to Insights: Diversity-Optimized for Medical Series-Text Decoding via LLMs
371. NeurIPS 2025Functional Virtual Adversarial Training for Semi-Supervised Time Series Classification
372. NeurIPS 2025GEM: Empowering MLLM for Grounded ECG Understanding with Time Series and Images
373. NeurIPS 2025Generating Multi-Table Time Series EHR from Latent Space with Minimal Preprocessing
374. NeurIPS 2025Glocal Information Bottleneck for Time Series Imputation
375. NeurIPS 2025Gradient-Weight Alignment as a Train-Time Proxy for Generalization in Classification Tasks
376. NeurIPS 2025GST-UNet: A Neural Framework for Spatiotemporal Causal Inference with Time-Varying Confounding
377. NeurIPS 2025Hamiltonian Descent Algorithms for Optimization: Accelerated Rates via Randomized Integration Time
378. NeurIPS 2025Heavy-Ball Momentum Method in Continuous Time and Discretization Error Analysis
379. NeurIPS 2025High Dynamic Range Imaging with Time-Encoding Spike Camera
380. NeurIPS 2025How Different from the Past? Spatio-Temporal Time Series Forecasting with Self-Supervised Deviation Learning
381. NeurIPS 2025How Patterns Dictate Learnability in Sequential Data
382. NeurIPS 2025Improving Generalization of Neural Combinatorial Optimization for Vehicle Routing Problems via Test-Time Projection Learning
383. NeurIPS 2025Improving Time Series Forecasting via Instance-aware Post-hoc Revision
384. NeurIPS 2025Inference-time Alignment in Continuous Space
385. NeurIPS 2025Inference-Time Hyper-Scaling with KV Cache Compression
386. NeurIPS 2025Inference-Time Personalized Alignment with a Few User Preference Queries
387. NeurIPS 2025Investigating Hallucinations of Time Series Foundation Models through Signal Subspace Analysis
388. NeurIPS 2025Kernel Density Steering: Inference-Time Scaling via Mode Seeking for Image Restoration
389. NeurIPS 2025Kinetics: Rethinking Test-Time Scaling Law
390. NeurIPS 2025Know What You Don't Know: Uncertainty Calibration of Process Reward Models
391. NeurIPS 2025Learnable Burst-Encodable Time-of-Flight Imaging for High-Fidelity Long-Distance Depth Sensing
392. NeurIPS 2025Learning Linear Attention in Polynomial Time
393. NeurIPS 2025Learning long range dependencies through time reversal symmetry breaking
394. NeurIPS 2025Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution Shift
395. NeurIPS 2025Learning with Calibration: Exploring Test-Time Computing of Spatio-Temporal Forecasting
396. NeurIPS 2025Learning Without Augmenting: Unsupervised Time Series Representation Learning via Frame Projections
397. NeurIPS 2025Less but More: Linear Adaptive Graph Learning Empowering Spatiotemporal Forecasting
398. NeurIPS 2025Less is More: Unlocking Specialization of Time Series Foundation Models via Structured Pruning
399. NeurIPS 2025LLM-Driven Treatment Effect Estimation Under Inference Time Text Confounding
400. NeurIPS 2025LoSplit: Loss-Guided Dynamic Split for Training-Time Defense Against Graph Backdoor Attacks

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.