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

221 papers, page 2 of 5

51. NeurIPS 2025Dual-Stage Value-Guided Inference with Margin-Based Reward Adjustment for Fast and Faithful VLM Captioning
52. NeurIPS 2025DynaGuide: Steering Diffusion Polices with Active Dynamic Guidance
53. NeurIPS 2025Dynamical modeling of nonlinear latent factors in multiscale neural activity with real-time inference
54. NeurIPS 2025EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test
55. NeurIPS 2025Enhancing the Maximum Effective Window for Long-Term Time Series Forecasting
56. NeurIPS 2025Entropic Time Schedulers for Generative Diffusion Models
57. NeurIPS 2025Equivariant Eikonal Neural Networks: Grid-Free, Scalable Travel-Time Prediction on Homogeneous Spaces
58. NeurIPS 2025Every Rollout Counts: Optimal Resource Allocation for Efficient Test-Time Scaling
59. NeurIPS 2025EvoBrain: Dynamic Multi-Channel EEG Graph Modeling for Time-Evolving Brain Networks
60. NeurIPS 2025Exact Expressive Power of Transformers with Padding
61. NeurIPS 2025Exploring Neural Granger Causality with xLSTMs: Unveiling Temporal Dependencies in Complex Data
62. NeurIPS 2025Feed-Forward Bullet-Time Reconstruction of Dynamic Scenes from Monocular Videos
63. NeurIPS 2025FEEL: Quantifying Heterogeneity in Physiological Signals for Generalizable Emotion Recognition
64. NeurIPS 2025Finite Sample Analyses for Continuous-time Linear Systems: System Identification and Online Control
65. NeurIPS 2025Finite-Time Analysis of Stochastic Nonconvex Nonsmooth Optimization on the Riemannian Manifolds
66. NeurIPS 2025Finite-Time Bounds for Average-Reward Fitted Q-Iteration
67. NeurIPS 2025Flow based approach for Dynamic Temporal Causal models with non-Gaussian or Heteroscedastic Noises
68. NeurIPS 2025Forecasting in Offline Reinforcement Learning for Non-stationary Environments
69. NeurIPS 2025Forging Time Series with Language: A Large Language Model Approach to Synthetic Data Generation
70. NeurIPS 2025Fortifying Time Series: DTW-Certified Robust Anomaly Detection
71. NeurIPS 2025Fractional Langevin Dynamics for Combinatorial Optimization via Polynomial-Time Escape
72. NeurIPS 2025From Indicators to Insights: Diversity-Optimized for Medical Series-Text Decoding via LLMs
73. NeurIPS 2025Functional Virtual Adversarial Training for Semi-Supervised Time Series Classification
74. NeurIPS 2025GEM: Empowering MLLM for Grounded ECG Understanding with Time Series and Images
75. NeurIPS 2025Generating Multi-Table Time Series EHR from Latent Space with Minimal Preprocessing
76. NeurIPS 2025Glocal Information Bottleneck for Time Series Imputation
77. NeurIPS 2025Gradient-Weight Alignment as a Train-Time Proxy for Generalization in Classification Tasks
78. NeurIPS 2025GST-UNet: A Neural Framework for Spatiotemporal Causal Inference with Time-Varying Confounding
79. NeurIPS 2025Hamiltonian Descent Algorithms for Optimization: Accelerated Rates via Randomized Integration Time
80. NeurIPS 2025Heavy-Ball Momentum Method in Continuous Time and Discretization Error Analysis
81. NeurIPS 2025High Dynamic Range Imaging with Time-Encoding Spike Camera
82. NeurIPS 2025How Different from the Past? Spatio-Temporal Time Series Forecasting with Self-Supervised Deviation Learning
83. NeurIPS 2025How Patterns Dictate Learnability in Sequential Data
84. NeurIPS 2025Improving Generalization of Neural Combinatorial Optimization for Vehicle Routing Problems via Test-Time Projection Learning
85. NeurIPS 2025Improving Time Series Forecasting via Instance-aware Post-hoc Revision
86. NeurIPS 2025Inference-time Alignment in Continuous Space
87. NeurIPS 2025Inference-Time Hyper-Scaling with KV Cache Compression
88. NeurIPS 2025Inference-Time Personalized Alignment with a Few User Preference Queries
89. NeurIPS 2025Investigating Hallucinations of Time Series Foundation Models through Signal Subspace Analysis
90. NeurIPS 2025Kernel Density Steering: Inference-Time Scaling via Mode Seeking for Image Restoration
91. NeurIPS 2025Kinetics: Rethinking Test-Time Scaling Law
92. NeurIPS 2025Know What You Don't Know: Uncertainty Calibration of Process Reward Models
93. NeurIPS 2025Learnable Burst-Encodable Time-of-Flight Imaging for High-Fidelity Long-Distance Depth Sensing
94. NeurIPS 2025Learning Linear Attention in Polynomial Time
95. NeurIPS 2025Learning long range dependencies through time reversal symmetry breaking
96. NeurIPS 2025Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution Shift
97. NeurIPS 2025Learning with Calibration: Exploring Test-Time Computing of Spatio-Temporal Forecasting
98. NeurIPS 2025Learning Without Augmenting: Unsupervised Time Series Representation Learning via Frame Projections
99. NeurIPS 2025Less but More: Linear Adaptive Graph Learning Empowering Spatiotemporal Forecasting
100. NeurIPS 2025Less is More: Unlocking Specialization of Time Series Foundation Models via Structured Pruning

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.