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 23 of 44

1101. ICML 2025Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection
1102. ICML 2025CFPT: Empowering Time Series Forecasting through Cross-Frequency Interaction and Periodic-Aware Timestamp Modeling
1103. ICML 2025Channel Normalization for Time Series Channel Identification
1104. ICML 2025CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial Correlations
1105. ICML 2025Conditional Diffusion Model with Nonlinear Data Transformation for Time Series Forecasting
1106. ICML 2025Conformal Anomaly Detection in Event Sequences
1107. ICML 2025Context is Key: A Benchmark for Forecasting with Essential Textual Information
1108. ICML 2025Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games
1109. ICML 2025Continuously Updating Digital Twins using Large Language Models
1110. ICML 2025Demeaned Sparse: Efficient Anomaly Detection by Residual Estimate
1111. ICML 2025Deterministic Sparse Fourier Transform for Continuous Signals with Frequency Gap
1112. ICML 2025Discovering Latent Causal Graphs from Spatiotemporal Data
1113. ICML 2025Discovering Physics Laws of Dynamical Systems via Invariant Function Learning
1114. ICML 2025Discrepancy Minimization in Input-Sparsity Time
1115. ICML 2025Efficient Parallel Training Methods for Spiking Neural Networks with Constant Time Complexity
1116. ICML 2025Efficient Personalized Adaptation for Physiological Signal Foundation Model
1117. ICML 2025Efficient Time Series Processing for Transformers and State-Space Models through Token Merging
1118. ICML 2025Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization
1119. ICML 2025Exploring Representations and Interventions in Time Series Foundation Models
1120. ICML 2025Fast Min-$\epsilon$ Segmented Regression using Constant-Time Segment Merging
1121. ICML 2025FIC-TSC: Learning Time Series Classification with Fisher Information Constraint
1122. ICML 2025Finite-Time Analysis of Discrete-Time Stochastic Interpolants
1123. ICML 2025Finite-Time Convergence Rates in Stochastic Stackelberg Games with Smooth Algorithmic Agents
1124. ICML 2025Fixing the Loose Brake: Exponential-Tailed Stopping Time in Best Arm Identification
1125. ICML 2025FSTLLM: Spatio-Temporal LLM for Few Shot Time Series Forecasting
1126. ICML 2025Fully Dynamic Euclidean Bi-Chromatic Matching in Sublinear Update Time
1127. ICML 2025Generating Hypotheses of Dynamic Causal Graphs in Neuroscience: Leveraging Generative Factor Models of Observed Time Series
1128. ICML 2025Geometric Resampling in Nearly Linear Time for Follow-the-Perturbed-Leader with Best-of-Both-Worlds Guarantee in Bandit Problems
1129. ICML 2025GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers
1130. ICML 2025Heterogeneous Treatment Effect in Time-to-Event Outcomes: Harnessing Censored Data with Recursively Imputed Trees
1131. ICML 2025Hi-Patch: Hierarchical Patch GNN for Irregular Multivariate Time Series
1132. ICML 2025HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting
1133. ICML 2025HyperIV: Real-time Implied Volatility Smoothing
1134. ICML 2025Improved Learning via k-DTW: A Novel Dissimilarity Measure for Curves
1135. ICML 2025IMTS is Worth Time $\times$ Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series Prediction
1136. ICML 2025In-Context Fine-Tuning for Time-Series Foundation Models
1137. ICML 2025Inference-Time Decomposition of Activations (ITDA): A Scalable Approach to Interpreting Large Language Models
1138. ICML 2025Is Best-of-N the Best of Them? Coverage, Scaling, and Optimality in Inference-Time Alignment
1139. ICML 2025IT$^3$: Idempotent Test-Time Training
1140. ICML 2025ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset
1141. ICML 2025KAN-AD: Time Series Anomaly Detection with Kolmogorov–Arnold Networks
1142. ICML 2025KoNODE: Koopman-Driven Neural Ordinary Differential Equations with Evolving Parameters for Time Series Analysis
1143. ICML 2025LangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy Optimization
1144. ICML 2025LAST SToP for Modeling Asynchronous Time Series
1145. ICML 2025Latent Variable Estimation in Bayesian Black-Litterman Models
1146. ICML 2025Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning
1147. ICML 2025Learning Changes in Graphon Attachment Network Models
1148. ICML 2025Learning Soft Sparse Shapes for Efficient Time-Series Classification
1149. ICML 2025Learning Survival Distributions with the Asymmetric Laplace Distribution
1150. ICML 2025Learning Time-Aware Causal Representation for Model Generalization in Evolving Domains

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.