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 9 of 16

401. NeurIPS 2025MAESTRO : Adaptive Sparse Attention and Robust Learning for Multimodal Dynamic Time Series
402. NeurIPS 2025Majority of the Bests: Improving Best-of-N via Bootstrapping
403. NeurIPS 2025Many Minds, One Goal: Time Series Forecasting via Sub-task Specialization and Inter-agent Cooperation
404. NeurIPS 2025MESS+: Dynamically Learned Inference-Time LLM Routing in Model Zoos with Service Level Guarantees
405. NeurIPS 2025Meta Guidance: Incorporating Inductive Biases into Deep Time Series Imputers
406. NeurIPS 2025Mint: A Simple Test-Time Adaptation of Vision-Language Models against Common Corruptions
407. NeurIPS 2025MIRA: Medical Time Series Foundation Model for Real-World Health Data
408. NeurIPS 2025MIX: A Multi-view Time-Frequency Interactive Explanation Framework for Time Series Classification
409. NeurIPS 2025MoFo: Empowering Long-term Time Series Forecasting with Periodic Pattern Modeling
410. NeurIPS 2025MoniTor: Exploiting Large Language Models with Instruction for Online Video Anomaly Detection
411. NeurIPS 2025Monitoring Risks in Test-Time Adaptation
412. NeurIPS 2025Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting
413. NeurIPS 2025Multi-Scale Finetuning for Encoder-based Time Series Foundation Models
414. NeurIPS 2025Multivariate Time Series Anomaly Detection with Idempotent Reconstruction
415. NeurIPS 2025Nearly-Linear Time and Massively Parallel Algorithms for $k$-anonymity
416. NeurIPS 2025Nearly-Linear Time Private Hypothesis Selection with the Optimal Approximation Factor
417. NeurIPS 2025Neural Combinatorial Optimization for Time Dependent Traveling Salesman Problem
418. NeurIPS 2025Neural MJD: Neural Non-Stationary Merton Jump Diffusion for Time Series Prediction
419. NeurIPS 2025Neural Stochastic Flows: Solver-Free Modelling and Inference for SDE Solutions
420. NeurIPS 2025NoBOOM: Chemical Process Datasets for Industrial Anomaly Detection
421. NeurIPS 2025Normal-Abnormal Guided Generalist Anomaly Detection
422. NeurIPS 2025Normalization in Attention Dynamics
423. NeurIPS 2025Not All Data are Good Labels: On the Self-supervised Labeling for Time Series Forecasting
424. NeurIPS 2025OLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed Domain
425. NeurIPS 2025OmniCast: A Masked Latent Diffusion Model for Weather Forecasting Across Time Scales
426. NeurIPS 2025On the Integration of Spatial-Temporal Knowledge: A Lightweight Approach to Atmospheric Time Series Forecasting
427. NeurIPS 2025On the SAC-BL Algorithm for Anomaly Detection
428. NeurIPS 2025Online Bilateral Trade With Minimal Feedback: Don’t Waste Seller’s Time
429. NeurIPS 2025Online Time Series Forecasting with Theoretical Guarantees
430. NeurIPS 2025OOD-Barrier: Build a Middle-Barrier for Open-Set Single-Image Test Time Adaptation via Vision Language Models
431. NeurIPS 2025Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data
432. NeurIPS 2025Out-of-Distribution Generalized Graph Anomaly Detection with Homophily-aware Environment Mixup
433. NeurIPS 2025Over-squashing in Spatiotemporal Graph Neural Networks
434. NeurIPS 2025PAID: Pairwise Angular-Invariant Decomposition for Continual Test-Time Adaptation
435. NeurIPS 2025PhysDiff: A Physically-Guided Diffusion Model for Multivariate Time Series Anomaly Detection
436. NeurIPS 2025Physics-informed Reduced Order Modeling of Time-dependent PDEs via Differentiable Solvers
437. NeurIPS 2025PIPE: Physics-Informed Position Encoding for Alignment of Satellite Images and Time Series in Typhoon Forecasting
438. NeurIPS 2025PMLF: A Physics-Guided Multiscale Loss Framework for Structurally Heterogeneous Time Series
439. NeurIPS 2025POCO: Scalable Neural Forecasting through Population Conditioning
440. NeurIPS 2025PointMAC: Meta-Learned Adaptation for Robust Test-Time Point Cloud Completion
441. NeurIPS 2025Pool Me Wisely: On the Effect of Pooling in Transformer-Based Models
442. NeurIPS 2025Progressive Inference-Time Annealing of Diffusion Models for Sampling from Boltzmann Densities
443. NeurIPS 2025Provable Scaling Laws for the Test-Time Compute of Large Language Models
444. NeurIPS 2025Quantifying Statistical Significance of Deep Nearest Neighbor Anomaly Detection via Selective Inference
445. NeurIPS 2025Real-Time Scene-Adaptive Tone Mapping for High-Dynamic Range Object Detection
446. NeurIPS 2025Reconstruct, Inpaint, Test-Time Finetune: Dynamic Novel-view Synthesis from Monocular Videos
447. NeurIPS 2025Redundancy-Aware Test-Time Graph Out-of-Distribution Detection
448. NeurIPS 2025Remasking Discrete Diffusion Models with Inference-Time Scaling
449. NeurIPS 2025Rethinking Fine-Tuning when Scaling Test-Time Compute: Limiting Confidence Improves Mathematical Reasoning
450. NeurIPS 2025Rethinking Optimal Verification Granularity for Compute-Efficient Test-Time Scaling

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.