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

147 papers, page 2 of 3

51. NeurIPS 2024Gated Inference Network: Inference and Learning State-Space Models
52. NeurIPS 2024Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series
53. NeurIPS 2024High Rank Path Development: an approach to learning the filtration of stochastic processes
54. NeurIPS 2024HyperPrism: An Adaptive Non-linear Aggregation Framework for Distributed Machine Learning over Non-IID Data and Time-varying Communication Links
55. NeurIPS 2024Identifiability Analysis of Linear ODE Systems with Hidden Confounders
56. NeurIPS 2024Identifying Spatio-Temporal Drivers of Extreme Events
57. NeurIPS 2024IncomeSCM: From tabular data set to time-series simulator and causal estimation benchmark
58. NeurIPS 2024Incorporating Test-Time Optimization into Training with Dual Networks for Human Mesh Recovery
59. NeurIPS 2024Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference
60. NeurIPS 2024Introducing Spectral Attention for Long-Range Dependency in Time Series Forecasting
61. NeurIPS 2024Invariant subspaces and PCA in nearly matrix multiplication time
62. NeurIPS 2024Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking
63. NeurIPS 2024Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series
64. NeurIPS 2024Large Pre-trained time series models for cross-domain Time series analysis tasks
65. NeurIPS 2024Learning diverse causally emergent representations from time series data
66. NeurIPS 2024Leveraging Drift to Improve Sample Complexity of Variance Exploding Diffusion Models
67. NeurIPS 2024Linear Time Approximation Algorithm for Column Subset Selection with Local Search
68. NeurIPS 2024Lower Bounds and Optimal Algorithms for Non-Smooth Convex Decentralized Optimization over Time-Varying Networks
69. NeurIPS 2024MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection
70. NeurIPS 2024Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification
71. NeurIPS 2024Metric from Human: Zero-shot Monocular Metric Depth Estimation via Test-time Adaptation
72. NeurIPS 2024Model Based Inference of Synaptic Plasticity Rules
73. NeurIPS 2024Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems
74. NeurIPS 2024MonkeySee: Space-time-resolved reconstructions of natural images from macaque multi-unit activity
75. NeurIPS 2024Motion Forecasting in Continuous Driving
76. NeurIPS 2024MotionTTT: 2D Test-Time-Training Motion Estimation for 3D Motion Corrected MRI
77. NeurIPS 2024Multivariate Probabilistic Time Series Forecasting with Correlated Errors
78. NeurIPS 2024Muscles in Time: Learning to Understand Human Motion In-Depth by Simulating Muscle Activations
79. NeurIPS 2024NewTerm: Benchmarking Real-Time New Terms for Large Language Models with Annual Updates
80. NeurIPS 2024Off to new Shores: A Dataset & Benchmark for (near-)coastal Flood Inundation Forecasting
81. NeurIPS 2024On the Optimal Time Complexities in Decentralized Stochastic Asynchronous Optimization
82. NeurIPS 2024On the Reproducibility of: "Learning Perturbations to Explain Time Series Predictions"
83. NeurIPS 2024Optimal Hypothesis Selection in (Almost) Linear Time
84. NeurIPS 2024Out-of-Distribution Detection with a Single Unconditional Diffusion Model
85. NeurIPS 2024Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting
86. NeurIPS 2024Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis
87. NeurIPS 2024PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting
88. NeurIPS 2024Piecewise-Stationary Bandits with Knapsacks
89. NeurIPS 2024Polynomial-Time Computation of Exact $\Phi$-Equilibria in Polyhedral Games
90. NeurIPS 2024PowerPM: Foundation Model for Power Systems
91. NeurIPS 2024ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons
92. NeurIPS 2024Protected Test-Time Adaptation via Online Entropy Matching: A Betting Approach
93. NeurIPS 2024RandNet-Parareal: a time-parallel PDE solver using Random Neural Networks
94. NeurIPS 2024Real-time Core-Periphery Guided ViT with Smart Data Layout Selection on Mobile Devices
95. NeurIPS 2024Real-Time Recurrent Learning using Trace Units in Reinforcement Learning
96. NeurIPS 2024Real-time Stereo-based 3D Object Detection for Streaming Perception
97. NeurIPS 2024realSEUDO for real-time calcium imaging analysis
98. NeurIPS 2024ReMAP: Neural Model Reprogramming with Network Inversion and Retrieval-Augmented Mapping for Adaptive Motion Forecasting
99. NeurIPS 2024ResAD: A Simple Framework for Class Generalizable Anomaly Detection
100. NeurIPS 2024Rethinking Fourier Transform from A Basis Functions Perspective for Long-term Time Series Forecasting

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.