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 10 of 12

451. NeurIPS 2025Inference-Time Hyper-Scaling with KV Cache Compression
452. NeurIPS 2025Inference-Time Personalized Alignment with a Few User Preference Queries
453. NeurIPS 2025Investigating Hallucinations of Time Series Foundation Models through Signal Subspace Analysis
454. NeurIPS 2025Kernel Density Steering: Inference-Time Scaling via Mode Seeking for Image Restoration
455. NeurIPS 2025Kinetics: Rethinking Test-Time Scaling Law
456. NeurIPS 2025Know What You Don't Know: Uncertainty Calibration of Process Reward Models
457. NeurIPS 2025Learnable Burst-Encodable Time-of-Flight Imaging for High-Fidelity Long-Distance Depth Sensing
458. NeurIPS 2025Learning Linear Attention in Polynomial Time
459. NeurIPS 2025Learning long range dependencies through time reversal symmetry breaking
460. NeurIPS 2025Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution Shift
461. NeurIPS 2025Learning with Calibration: Exploring Test-Time Computing of Spatio-Temporal Forecasting
462. NeurIPS 2025Learning Without Augmenting: Unsupervised Time Series Representation Learning via Frame Projections
463. NeurIPS 2025Less but More: Linear Adaptive Graph Learning Empowering Spatiotemporal Forecasting
464. NeurIPS 2025Less is More: Unlocking Specialization of Time Series Foundation Models via Structured Pruning
465. NeurIPS 2025LLM-Driven Treatment Effect Estimation Under Inference Time Text Confounding
466. NeurIPS 2025LoSplit: Loss-Guided Dynamic Split for Training-Time Defense Against Graph Backdoor Attacks
467. NeurIPS 2025MAESTRO : Adaptive Sparse Attention and Robust Learning for Multimodal Dynamic Time Series
468. NeurIPS 2025Majority of the Bests: Improving Best-of-N via Bootstrapping
469. NeurIPS 2025Many Minds, One Goal: Time Series Forecasting via Sub-task Specialization and Inter-agent Cooperation
470. NeurIPS 2025MESS+: Dynamically Learned Inference-Time LLM Routing in Model Zoos with Service Level Guarantees
471. NeurIPS 2025Meta Guidance: Incorporating Inductive Biases into Deep Time Series Imputers
472. NeurIPS 2025Mint: A Simple Test-Time Adaptation of Vision-Language Models against Common Corruptions
473. NeurIPS 2025MIRA: Medical Time Series Foundation Model for Real-World Health Data
474. NeurIPS 2025MIX: A Multi-view Time-Frequency Interactive Explanation Framework for Time Series Classification
475. NeurIPS 2025MoFo: Empowering Long-term Time Series Forecasting with Periodic Pattern Modeling
476. NeurIPS 2025MoniTor: Exploiting Large Language Models with Instruction for Online Video Anomaly Detection
477. NeurIPS 2025Monitoring Risks in Test-Time Adaptation
478. NeurIPS 2025Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting
479. NeurIPS 2025Multi-Scale Finetuning for Encoder-based Time Series Foundation Models
480. NeurIPS 2025Multivariate Time Series Anomaly Detection with Idempotent Reconstruction
481. NeurIPS 2025Nearly-Linear Time and Massively Parallel Algorithms for $k$-anonymity
482. NeurIPS 2025Nearly-Linear Time Private Hypothesis Selection with the Optimal Approximation Factor
483. NeurIPS 2025Neural Combinatorial Optimization for Time Dependent Traveling Salesman Problem
484. NeurIPS 2025Neural MJD: Neural Non-Stationary Merton Jump Diffusion for Time Series Prediction
485. NeurIPS 2025Neural Stochastic Flows: Solver-Free Modelling and Inference for SDE Solutions
486. NeurIPS 2025NoBOOM: Chemical Process Datasets for Industrial Anomaly Detection
487. NeurIPS 2025Normal-Abnormal Guided Generalist Anomaly Detection
488. NeurIPS 2025Normalization in Attention Dynamics
489. NeurIPS 2025Not All Data are Good Labels: On the Self-supervised Labeling for Time Series Forecasting
490. NeurIPS 2025OLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed Domain
491. NeurIPS 2025OmniCast: A Masked Latent Diffusion Model for Weather Forecasting Across Time Scales
492. NeurIPS 2025On the Integration of Spatial-Temporal Knowledge: A Lightweight Approach to Atmospheric Time Series Forecasting
493. NeurIPS 2025On the SAC-BL Algorithm for Anomaly Detection
494. NeurIPS 2025Online Bilateral Trade With Minimal Feedback: Don’t Waste Seller’s Time
495. NeurIPS 2025Online Time Series Forecasting with Theoretical Guarantees
496. NeurIPS 2025OOD-Barrier: Build a Middle-Barrier for Open-Set Single-Image Test Time Adaptation via Vision Language Models
497. NeurIPS 2025Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data
498. NeurIPS 2025Out-of-Distribution Generalized Graph Anomaly Detection with Homophily-aware Environment Mixup
499. NeurIPS 2025Over-squashing in Spatiotemporal Graph Neural Networks
500. NeurIPS 2025PAID: Pairwise Angular-Invariant Decomposition for Continual 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.