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

2,156 papers, page 10 of 44

451. ICML 2026Mantis: Lightweight Foundation Model for Time Series Classification
452. ICML 2026MedMamba: Multi-View State Space Models with Adaptive Graph Learning for Medical Time Series Classification
453. ICML 2026MemCast: Memory-Driven Time Series Forecasting with Experience-Conditioned Reasoning
454. ICML 2026Memory-Distilled Selection for Noise-Robust Anomaly Detection
455. ICML 2026Mesh Field Theory: Port–Hamiltonian Formulation of Mesh-Based Physics
456. ICML 2026Meta Flow Maps enable scalable reward alignment
457. ICML 2026Meta-iLaD: Identifiable Latent Dynamics via Meta-Learning of Dynamics Environments
458. ICML 2026MIMOMamba: From Scalar Duality to Matrix-Valued Attention
459. ICML 2026Mitigating Label Shift in Tabular In-Context Learning via Test-Time Posterior Adjustment
460. ICML 2026Modeling Spectral Energy Shifts in Spatio-Temporal Graph Anomaly Detection
461. ICML 2026MoRGen: Mixture-of-Resolutions Generative Forecasting for Irregularly Sampled Medical Time-Series Data
462. ICML 2026MPFM: Cross Multi-Domain Prototype Flow Matching for Log Anomaly Detection
463. ICML 2026Multi-Integration of Labels Across Categories for Component Identification in Multi-trial Time Series
464. ICML 2026NaviCache: Test-Time Self-Calibration Caching for Video Generation
465. ICML 2026Nested birth-death processes are competitive with neural networks as time-dependent models of protein evolution
466. ICML 2026Nested Spatio-Temporal Time Series Forecasting
467. ICML 2026Neural Modular Physics for Elastic Simulation
468. ICML 2026NeurOCNN: A Neural-Operator-Based Model for Physiological Time Series
469. ICML 2026Noise-Robust Density Estimation for Tabular Data Anomaly Detection
470. ICML 2026Normality Calibration in Semi-supervised Graph Anomaly Detection
471. ICML 2026Not All Frequencies Are Equal: Energy-Adaptive Diffusion for Time Series Forecasting
472. ICML 2026Olivia: Harmonizing Time Series Foundation Models with Power Spectral Density
473. ICML 2026On Structured State-Space Duality
474. ICML 2026On the "Induction Bias" in Sequence Models
475. ICML 2026On the Learnability of Test-Time Adaptation: A Recovery Complexity Perspective
476. ICML 2026On the Limits of Test-Time Compute: Sequential Reward Filtering for Better Inference
477. ICML 2026On the Power of (Approximate) Reward Models for Inference-Time Scaling: Sequential Monte Carlo and Beyond
478. ICML 2026Once-for-All: Scalable Simultaneous Forecasting via Equilibrium State Estimation
479. ICML 2026One Batch Is Enough: A Unified Dataset Condensation Framework for General Time Series Analysis
480. ICML 2026One-Step Graph-Structured Neural Flows for Irregular Multivariate Time Series Classification
481. ICML 2026Online Change Point Detection for Multivariate Inhomogeneous Poisson Processes Time Series
482. ICML 2026OpenTSLM: Time-Series Language Models for Reasoning over Multivariate Medical Text- and Time-Series Data
483. ICML 2026Optimizing Inference-Time Compute for Medical Reasoning via Uncertainty Quantification
484. ICML 2026Optimizing Network Simulation: Enhancing Performance Prediction Accuracy via Neural Architecture Search
485. ICML 2026OSM+: Billion-Level Open Street Map Dataset for City-wide Experiments
486. ICML 2026Overcoming the Modality Gap in Context-Aided Forecasting
487. ICML 2026ParalESN: Enabling parallel information processing in Reservoir Computing
488. ICML 2026Parameter Decorrelation via Transition-Variance Alignment for Multivariate Time-series Forecasting
489. ICML 2026Parameter-free Dynamic Regret: Time-varying Movement Costs, Delayed Feedback, and Memory
490. ICML 2026Parametric Prior Mapping Framework for Non-stationary Probabilistic Time Series Forecasting
491. ICML 2026PATRA: Pattern-Aware Alignment and Balanced Reasoning for Time Series Question Answering
492. ICML 2026PESD-TSF: A Period-Aware and Explicit Structured Decomposition Framework for Long-Term Time Series Forecasting
493. ICML 2026PLASH: Provably Linear-Time Attention with Selective Higher-Order Feature Sketching
494. ICML 2026PolicyGuard: Towards Test-time and Step-level Adversary Defense for Reinforcement Learning Agent
495. ICML 2026Power-Boosted Granger-Causal Discovery for Large Heterogeneous Panel Data
496. ICML 2026PRISM: Training-Free Video Anomaly Detection via Intrinsic Statistical Modeling
497. ICML 2026Privately Fine-Tuned LLMs Preserve Temporal Dynamics in Tabular Data
498. ICML 2026ProSAR: Prototype-Guided Semantic Augmentation and Refinement for Time Series Contrastive Learning
499. ICML 2026PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting
500. ICML 2026QuITE: Query-Based Irregular Time Series Embedding

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.