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

424 papers, page 7 of 9

301. NeurIPS 2024Conformalized Time Series with Semantic Features
302. NeurIPS 2024CosAE: Learnable Fourier Series for Image Restoration
303. NeurIPS 2024Cross-Device Collaborative Test-Time Adaptation
304. NeurIPS 2024Cross-model Control: Improving Multiple Large Language Models in One-time Training
305. NeurIPS 2024CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns
306. NeurIPS 2024DDN: Dual-domain Dynamic Normalization for Non-stationary Time Series Forecasting
307. NeurIPS 2024Decoding-Time Language Model Alignment with Multiple Objectives
308. NeurIPS 2024DeformableTST: Transformer for Time Series Forecasting without Over-reliance on Patching
309. NeurIPS 2024Deterministic Policies for Constrained Reinforcement Learning in Polynomial Time
310. NeurIPS 2024Dual-frame Fluid Motion Estimation with Test-time Optimization and Zero-divergence Loss
311. NeurIPS 2024ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer
312. NeurIPS 2024Enhancing Preference-based Linear Bandits via Human Response Time
313. NeurIPS 2024Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection
314. NeurIPS 2024Exploiting Representation Curvature for Boundary Detection in Time Series
315. NeurIPS 2024FactorizePhys: Matrix Factorization for Multidimensional Attention in Remote Physiological Sensing
316. NeurIPS 2024Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition Time
317. NeurIPS 2024FIDE: Frequency-Inflated Conditional Diffusion Model for Extreme-Aware Time Series Generation
318. NeurIPS 2024FilterNet: Harnessing Frequency Filters for Time Series Forecasting
319. NeurIPS 2024Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models
320. NeurIPS 2024fMRI predictors based on language models of increasing complexity recover brain left lateralization
321. NeurIPS 2024Foundation Inference Models for Markov Jump Processes
322. NeurIPS 2024Frequency Adaptive Normalization For Non-stationary Time Series Forecasting
323. NeurIPS 2024Frequency-aware Generative Models for Multivariate Time Series Imputation
324. NeurIPS 2024Freya PAGE: First Optimal Time Complexity for Large-Scale Nonconvex Finite-Sum Optimization with Heterogeneous Asynchronous Computations
325. NeurIPS 2024From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection
326. NeurIPS 2024From Similarity to Superiority: Channel Clustering for Time Series Forecasting
327. NeurIPS 2024FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection
328. NeurIPS 2024Gated Inference Network: Inference and Learning State-Space Models
329. NeurIPS 2024Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series
330. NeurIPS 2024High Rank Path Development: an approach to learning the filtration of stochastic processes
331. NeurIPS 2024HyperPrism: An Adaptive Non-linear Aggregation Framework for Distributed Machine Learning over Non-IID Data and Time-varying Communication Links
332. NeurIPS 2024Identifiability Analysis of Linear ODE Systems with Hidden Confounders
333. NeurIPS 2024Identifying Spatio-Temporal Drivers of Extreme Events
334. NeurIPS 2024IncomeSCM: From tabular data set to time-series simulator and causal estimation benchmark
335. NeurIPS 2024Incorporating Test-Time Optimization into Training with Dual Networks for Human Mesh Recovery
336. NeurIPS 2024Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference
337. NeurIPS 2024Introducing Spectral Attention for Long-Range Dependency in Time Series Forecasting
338. NeurIPS 2024Invariant subspaces and PCA in nearly matrix multiplication time
339. NeurIPS 2024Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking
340. NeurIPS 2024Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series
341. NeurIPS 2024Large Pre-trained time series models for cross-domain Time series analysis tasks
342. NeurIPS 2024Learning diverse causally emergent representations from time series data
343. NeurIPS 2024Leveraging Drift to Improve Sample Complexity of Variance Exploding Diffusion Models
344. NeurIPS 2024Linear Time Approximation Algorithm for Column Subset Selection with Local Search
345. NeurIPS 2024Lower Bounds and Optimal Algorithms for Non-Smooth Convex Decentralized Optimization over Time-Varying Networks
346. NeurIPS 2024MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection
347. NeurIPS 2024Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification
348. NeurIPS 2024Metric from Human: Zero-shot Monocular Metric Depth Estimation via Test-time Adaptation
349. NeurIPS 2024Model Based Inference of Synaptic Plasticity Rules
350. NeurIPS 2024Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems

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.