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 22 of 44

1051. ICLR 2025SigDiffusions: Score-Based Diffusion Models for Time Series via Log-Signature Embeddings
1052. ICLR 2025SimpleTM: A Simple Baseline for Multivariate Time Series Forecasting
1053. ICLR 2025Simplifying, Stabilizing and Scaling Continuous-time Consistency Models
1054. ICLR 2025Single-agent Poisoning Attacks Suffice to Ruin Multi-Agent Learning
1055. ICLR 2025SMITE: Segment Me In TimE
1056. ICLR 2025Specialized Foundation Models Struggle to Beat Supervised Baselines
1057. ICLR 2025Stabilized Neural Prediction of Potential Outcomes in Continuous Time
1058. ICLR 2025Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models
1059. ICLR 2025Synthesizing Realistic fMRI: A Physiological Dynamics-Driven Hierarchical Diffusion Model for Efficient fMRI Acquisition
1060. ICLR 2025TD-Paint: Faster Diffusion Inpainting Through Time-Aware Pixel Conditioning
1061. ICLR 2025Test-Time Adaptation for Combating Missing Modalities in Egocentric Videos
1062. ICLR 2025Test-time Adaptation for Regression by Subspace Alignment
1063. ICLR 2025The Case for Cleaner Biosignals: High-fidelity Neural Compressor Enables Transfer from Cleaner iEEG to Noisier EEG
1064. ICLR 2025Tight Time Complexities in Parallel Stochastic Optimization with Arbitrary Computation Dynamics
1065. ICLR 2025Time After Time: Deep-Q Effect Estimation for Interventions on When and What to do
1066. ICLR 2025Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
1067. ICLR 2025TimeInf: Time Series Data Contribution via Influence Functions
1068. ICLR 2025TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting
1069. ICLR 2025TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
1070. ICLR 2025Timer-XL: Long-Context Transformers for Unified Time Series Forecasting
1071. ICLR 2025Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction
1072. ICLR 2025Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders
1073. ICLR 2025Towards Neural Scaling Laws for Time Series Foundation Models
1074. ICLR 2025TRENDy: Temporal Regression of Effective Nonlinear Dynamics
1075. ICLR 2025TS-LIF: A Temporal Segment Spiking Neuron Network for Time Series Forecasting
1076. ICLR 2025TSC-Net: Prediction of Pedestrian Trajectories by Trajectory-Scene-Cell Classification
1077. ICLR 2025TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram
1078. ICLR 2025TVNet: A Novel Time Series Analysis Method Based on Dynamic Convolution and 3D-Variation
1079. ICLR 2025Zero-shot Imputation with Foundation Inference Models for Dynamical Systems
1080. ICLR 2025Zero-shot Model-based Reinforcement Learning using Large Language Models
1081. ICML 2025$K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting
1082. ICML 2025A Closer Look at Transformers for Time Series Forecasting: Understanding Why They Work and Where They Struggle
1083. ICML 2025A Generalizable Physics-Enhanced State Space Model for Long-Term Dynamics Forecasting in Complex Environments
1084. ICML 2025A Non-isotropic Time Series Diffusion Model with Moving Average Transitions
1085. ICML 2025Active Learning with Selective Time-Step Acquisition for PDEs
1086. ICML 2025AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting
1087. ICML 2025AEQA-NAT : Adaptive End-to-end Quantization Alignment Training Framework for Non-autoregressive Machine Translation
1088. ICML 2025An Architecture Search Framework for Inference-Time Techniques
1089. ICML 2025An Online Adaptive Sampling Algorithm for Stochastic Difference-of-convex Optimization with Time-varying Distributions
1090. ICML 2025Anytime-Constrained Equilibria in Polynomial Time
1091. ICML 2025Arrow: Accelerator for Time Series Causal Discovery with Time Weaving
1092. ICML 2025Automatic Differentiation of Optimization Algorithms with Time-Varying Updates
1093. ICML 2025Bayesian Basis Function Approximation for Scalable Gaussian Process Priors in Deep Generative Models
1094. ICML 2025BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute
1095. ICML 2025Beyond Entropy: Region Confidence Proxy for Wild Test-Time Adaptation
1096. ICML 2025Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting
1097. ICML 2025BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling
1098. ICML 2025Calibrating Video Watch-time Predictions with Credible Prototype Alignment
1099. ICML 2025Categorical Schrödinger Bridge Matching
1100. ICML 2025Causal Discovery from Conditionally Stationary Time Series

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.