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 21 of 44

1001. ICLR 2025InstaTrain: Adaptive Training via Ultra-Fast Natural Annealing within Dynamical Systems
1002. ICLR 2025Intelligence at the Edge of Chaos
1003. ICLR 2025Investigating Pattern Neurons in Urban Time Series Forecasting
1004. ICLR 2025Kernel-based Optimally Weighted Conformal Time-Series Prediction
1005. ICLR 2025KooNPro: A Variance-Aware Koopman Probabilistic Model Enhanced by Neural Process for Time Series Forecasting
1006. ICLR 2025Latent-EnSF: A Latent Ensemble Score Filter for High-Dimensional Data Assimilation with Sparse Observation Data
1007. ICLR 2025Learn hybrid prototypes for multivariate time series anomaly detection
1008. ICLR 2025Learning Chaos In A Linear Way
1009. ICLR 2025Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data
1010. ICLR 2025Learning Successor Features with Distributed Hebbian Temporal Memory
1011. ICLR 2025Learning the Optimal Stopping for Early Classification within Finite Horizons via Sequential Probability Ratio Test
1012. ICLR 2025Learning under Temporal Label Noise
1013. ICLR 2025Learning vector fields of differential equations on manifolds with geometrically constrained operator-valued kernels
1014. ICLR 2025LevAttention: Time, Space and Streaming Efficient Algorithm for Heavy Attentions
1015. ICLR 2025Locally Connected Echo State Networks for Time Series Forecasting
1016. ICLR 2025Long-Context Linear System Identification
1017. ICLR 2025Long-time asymptotics of noisy SVGD outside the population limit
1018. ICLR 2025MamKO: Mamba-based Koopman operator for modeling and predictive control
1019. ICLR 2025Mask in the Mirror: Implicit Sparsification
1020. ICLR 2025Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling
1021. ICLR 2025Model-agnostic meta-learners for estimating heterogeneous treatment effects over time
1022. ICLR 2025Modeling Complex System Dynamics with Flow Matching Across Time and Conditions
1023. ICLR 2025MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection
1024. ICLR 2025MuHBoost: Multi-Label Boosting For Practical Longitudinal Human Behavior Modeling
1025. ICLR 2025Multi-Label Test-Time Adaptation with Bound Entropy Minimization
1026. ICLR 2025Multi-Resolution Decomposable Diffusion Model for Non-Stationary Time Series Anomaly Detection
1027. ICLR 2025Neural Context Flows for Meta-Learning of Dynamical Systems
1028. ICLR 2025Neural Functions for Learning Periodic Signal
1029. ICLR 2025Node-Time Conditional Prompt Learning in Dynamic Graphs
1030. ICLR 2025Noisy Test-Time Adaptation in Vision-Language Models
1031. ICLR 2025Nonlinear Sequence Embedding by Monotone Variational Inequality
1032. ICLR 2025On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning
1033. ICLR 2025On the Adversarial Vulnerability of Label-Free Test-Time Adaptation
1034. ICLR 2025Optimal Transport for Time Series Imputation
1035. ICLR 2025Oscillatory State-Space Models
1036. ICLR 2025PAD: Personalized Alignment of LLMs at Decoding-time
1037. ICLR 2025PaPaGei: Open Foundation Models for Optical Physiological Signals
1038. ICLR 2025Physiome-ODE: A Benchmark for Irregularly Sampled Multivariate Time-Series Forecasting Based on Biological ODEs
1039. ICLR 2025Poisson-Dirac Neural Networks for Modeling Coupled Dynamical Systems across Domains
1040. ICLR 2025PPT: Patch Order Do Matters In Time Series Pretext Task
1041. ICLR 2025RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data
1042. ICLR 2025Robust System Identification: Finite-sample Guarantees and Connection to Regularization
1043. ICLR 2025Root Cause Analysis of Anomalies in Multivariate Time Series through Granger Causal Discovery
1044. ICLR 2025S4M: S4 for multivariate time series forecasting with Missing values
1045. ICLR 2025Scalable Mechanistic Neural Networks
1046. ICLR 2025Scaling LLM Test-Time Compute Optimally Can be More Effective than Scaling Parameters for Reasoning
1047. ICLR 2025Selective Label Enhancement Learning for Test-Time Adaptation
1048. ICLR 2025Self-supervised contrastive learning performs non-linear system identification
1049. ICLR 2025Shedding Light on Time Series Classification using Interpretability Gated Networks
1050. ICLR 2025Shifting the Paradigm: A Diffeomorphism Between Time Series Data Manifolds for Achieving Shift-Invariancy in Deep Learning

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.