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 3 of 44

101. ICLR 2026Adapt Data to Model: Adaptive Transformation Optimization for Domain-shared Time Series Foundation Models
102. ICLR 2026Adaptive Conformal Anomaly Detection with Time Series Foundation Models for Signal Monitoring.
103. ICLR 2026Ads that Stick: Near-Optimal Ad Optimization through Psychological Behavior Models
104. ICLR 2026Are Global Dependencies Necessary? Scalable Time Series Forecasting via Local Cross-Variate Modeling
105. ICLR 2026ARROW: An Adaptive Rollout and Routing Method for Global Weather Forecasting
106. ICLR 2026ASTGI: Adaptive Spatio-Temporal Graph Interactions for Irregular Multivariate Time Series Forecasting
107. ICLR 2026Aurora: Towards Universal Generative Multimodal Time Series Forecasting
108. ICLR 2026AutoDA-Timeseries: Automated Data Augmentation for Time Series
109. ICLR 2026Battery Fault: A Comprehensive Dataset and Benchmark for Battery Fault Diagnosis
110. ICLR 2026Best-of-Infinity: Asymptotic Performance of Test-Time Compute
111. ICLR 2026Beyond Accuracy: Are Time Series Foundation Models Well-Calibrated?
112. ICLR 2026Bridging Past and Future: Distribution-Aware Alignment for Time Series Forecasting
113. ICLR 2026C-Voting: Confidence-Based Test-Time Voting without Explicit Energy Functions
114. ICLR 2026Can we generate portable representations for clinical time series data using LLMs?
115. ICLR 2026CauKer: Classification Time Series Foundation Models Can Be Pretrained on Synthetic Data
116. ICLR 2026Causal Structure Learning in Hawkes Processes with Complex Latent Confounder Networks
117. ICLR 2026Change Point Localization and Inference in Dynamic Multilayer Networks
118. ICLR 2026Characteristic Root Analysis and Regularization for Linear Time Series Forecasting
119. ICLR 2026CheckMate! Watermarking Graph Diffusion Models in Polynomial Time
120. ICLR 2026CIMemories: A Compositional Benchmark For Contextual Integrity In LLMs
121. ICLR 2026Complexity- and Statistics-Guided Anomaly Detection in Time Series Foundation Models
122. ICLR 2026Conditionally Whitened Generative Models for Probabilistic Time Series Forecasting
123. ICLR 2026Context parroting: A simple but tough-to-beat baseline for foundation models in scientific machine learning
124. ICLR 2026ContextPRM: Leveraging Contextual Coherence for multi-domain Test-Time Scaling
125. ICLR 2026Contextual and Seasonal LSTMs for Time Series Anomaly Detection
126. ICLR 2026Controllable Sequence Editing for Biological and Clinical Trajectories
127. ICLR 2026ConvT3: Structured State Kernels for Convolutional State Space Models
128. ICLR 2026CoRA: Boosting Time Series Foundation Models for Multivariate Forecasting through Correlation-aware Adapter
129. ICLR 2026COSA: Context-aware Output-Space Adapter for Test-Time Adaptation in Time Series Forecasting
130. ICLR 2026CPiRi: Channel Permutation-Invariant Relational Interaction for Multivariate Time Series Forecasting
131. ICLR 2026CREPE: Controlling diffusion with REPlica Exchange
132. ICLR 2026CRONOS: Continuous time reconstruction for 4D medical longitudinal series
133. ICLR 2026CTBench: Cryptocurrency Time Series Generation Benchmark
134. ICLR 2026Decentralized Attention Fails Centralized Signals: Rethinking Transformers for Medical Time Series
135. ICLR 2026Delta-XAI: A Unified Framework for Explaining Prediction Changes in Online Time Series Monitoring
136. ICLR 2026DeNOTS: Stable Deep Neural ODEs for Time Series
137. ICLR 2026DeRaDiff: Denoising Time Realignment of Diffusion Models
138. ICLR 2026Designing Time Series Experiments in A/B Testing with Transformer Reinforcement Learning
139. ICLR 2026Detecting Invariant Manifolds in ReLU-Based RNNs
140. ICLR 2026Detection of unknown unknowns in autonomous systems
141. ICLR 2026Discrete Adjoint Matching
142. ICLR 2026DistDF: Time-series Forecasting Needs Joint-distribution Wasserstein Alignment
143. ICLR 2026Distilled Pretraining: A modern lens of Data, In-Context Learning and Test-Time Scaling
144. ICLR 2026Distribution-informed Online Conformal Prediction
145. ICLR 2026DoFlow: Flow-based Generative Models for Interventional and Counterfactual Forecasting on Time Series
146. ICLR 2026Dual Distillation for Few-Shot Anomaly Detection
147. ICLR 2026e3: Learning to Explore Enables Extrapolation of Test-Time Compute for LLMs
148. ICLR 2026Edit-Based Flow Matching for Temporal Point Processes
149. ICLR 2026Eliciting Numerical Predictive Distributions of LLMs Without Auto-Regression
150. ICLR 2026End-to-End Probabilistic Framework for Learning with Hard Constraints

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.