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 11 of 16

501. NeurIPS 2025TRACE: Contrastive learning for multi-trial time series data in neuroscience
502. NeurIPS 2025TRACE: Grounding Time Series in Context for Multimodal Embedding and Retrieval
503. NeurIPS 2025Training-Free Guidance Beyond Differentiability: Scalable Path Steering with Tree Search in Diffusion and Flow Models
504. NeurIPS 2025Transformers for Mixed-type Event Sequences
505. NeurIPS 2025Treasure Hunt: Real-time Targeting of the Long Tail using Training-Time Markers
506. NeurIPS 2025TRUST: Test-Time Refinement using Uncertainty-Guided SSM Traverses
507. NeurIPS 2025TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster
508. NeurIPS 2025TTRL: Test-Time Reinforcement Learning
509. NeurIPS 2025TV-Rec: Time-Variant Convolutional Filter for Sequential Recommendation
510. NeurIPS 2025UnCLe: Towards Scalable Dynamic Causal Discovery in Non-linear Temporal Systems
511. NeurIPS 2025Unified Transferability Metrics for Time Series Foundation Models
512. NeurIPS 2025Unifying Reconstruction and Density Estimation via Invertible Contraction Mapping in One-Class Classification
513. NeurIPS 2025Universal Sequence Preconditioning
514. NeurIPS 2025Unlocking hidden biomolecular conformational landscapes in diffusion models at inference time
515. NeurIPS 2025WaLRUS: Wavelets for Long range Representation Using State Space Methods
516. NeurIPS 2025Wavelet Canonical Coherence for Nonstationary Signals
517. NeurIPS 2025xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories
518. NeurIPS 2025YOLOv12: Attention-Centric Real-Time Object Detectors
519. NeurIPS 2025zip2zip: Inference-Time Adaptive Tokenization via Online Compression
520. NeurIPS 2024A Continuous-time Stochastic Gradient Descent Method for Continuous Data
521. NeurIPS 2024A Unified Recipe for Deriving (Time-Uniform) PAC-Bayes Bounds
522. NeurIPS 2024Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification
523. NeurIPS 2024Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity
524. NeurIPS 2024Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning
525. NeurIPS 2024Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting
526. NeurIPS 2024Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps
527. NeurIPS 2024Addressing Spatial-Temporal Heterogeneity: General Mixed Time Series Analysis via Latent Continuity Recovery and Alignment
528. NeurIPS 2024Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting
529. NeurIPS 2024ANT: Adaptive Noise Schedule for Time Series Diffusion Models
530. NeurIPS 2024Are Language Models Actually Useful for Time Series Forecasting?
531. NeurIPS 2024Are Self-Attentions Effective for Time Series Forecasting?
532. NeurIPS 2024Asynchronous Perception Machine for Efficient Test Time Training
533. NeurIPS 2024Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective
534. NeurIPS 2024AutoTimes: Autoregressive Time Series Forecasters via Large Language Models
535. NeurIPS 2024AverNet: All-in-one Video Restoration for Time-varying Unknown Degradations
536. NeurIPS 2024BackTime: Backdoor Attacks on Multivariate Time Series Forecasting
537. NeurIPS 2024Boosting Transferability and Discriminability for Time Series Domain Adaptation
538. NeurIPS 2024Causal Contrastive Learning for Counterfactual Regression Over Time
539. NeurIPS 2024Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models
540. NeurIPS 2024ChronoEpilogi: Scalable Time Series Selection with Multiple Solutions
541. NeurIPS 2024Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification
542. NeurIPS 2024CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting
543. NeurIPS 2024Conformalized Time Series with Semantic Features
544. NeurIPS 2024CosAE: Learnable Fourier Series for Image Restoration
545. NeurIPS 2024Cross-Device Collaborative Test-Time Adaptation
546. NeurIPS 2024Cross-model Control: Improving Multiple Large Language Models in One-time Training
547. NeurIPS 2024CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns
548. NeurIPS 2024DDN: Dual-domain Dynamic Normalization for Non-stationary Time Series Forecasting
549. NeurIPS 2024Decoding-Time Language Model Alignment with Multiple Objectives
550. NeurIPS 2024DeformableTST: Transformer for Time Series Forecasting without Over-reliance on Patching

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.