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 20 of 44

951. ICLR 2025A Riemannian Framework for Learning Reduced-order Lagrangian Dynamics
952. ICLR 2025Adaptive Retention & Correction: Test-Time Training for Continual Learning
953. ICLR 2025Adversarially Robust Anomaly Detection through Spurious Negative Pair Mitigation
954. ICLR 2025Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems
955. ICLR 2025Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series
956. ICLR 2025AnoLLM: Large Language Models for Tabular Anomaly Detection
957. ICLR 2025AutoUAD: Hyper-parameter Optimization for Unsupervised Anomaly Detection
958. ICLR 2025Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations
959. ICLR 2025Beyond Autoregression: Fast LLMs via Self-Distillation Through Time
960. ICLR 2025Bidirectional Decoding: Improving Action Chunking via Guided Test-Time Sampling
961. ICLR 2025Can LLMs Understand Time Series Anomalies?
962. ICLR 2025CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching
963. ICLR 2025CausalRivers - Scaling up benchmarking of causal discovery for real-world time-series
964. ICLR 2025Classic but Everlasting: Traditional Gradient-Based Algorithms Converge Fast Even in Time-Varying Multi-Player Games
965. ICLR 2025COME: Test-time Adaption by Conservatively Minimizing Entropy
966. ICLR 2025Compositional simulation-based inference for time series
967. ICLR 2025Computational Limits of Low-Rank Adaptation (LoRA) Fine-Tuning for Transformer Models
968. ICLR 2025CoMRes: Semi-Supervised Time Series Forecasting Utilizing Consensus Promotion of Multi-Resolution
969. ICLR 2025Context Steering: Controllable Personalization at Inference Time
970. ICLR 2025Context-Alignment: Activating and Enhancing LLMs Capabilities in Time Series
971. ICLR 2025Continual Slow-and-Fast Adaptation of Latent Neural Dynamics (CoSFan): Meta-Learning What-How & When to Adapt
972. ICLR 2025Controllable Safety Alignment: Inference-Time Adaptation to Diverse Safety Requirements
973. ICLR 2025Controlling Space and Time with Diffusion Models
974. ICLR 2025Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis
975. ICLR 2025Differentially Private Federated Learning with Time-Adaptive Privacy Spending
976. ICLR 2025DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector
977. ICLR 2025Diffusion Transformers for Tabular Data Time Series Generation
978. ICLR 2025Diffusion-based Decoupled Deterministic and Uncertain Framework for Probabilistic Multivariate Time Series Forecasting
979. ICLR 2025DRL: Decomposed Representation Learning for Tabular Anomaly Detection
980. ICLR 2025DyCAST: Learning Dynamic Causal Structure from Time Series
981. ICLR 2025Effective and Efficient Time-Varying Counterfactual Prediction with State-Space Models
982. ICLR 2025Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement
983. ICLR 2025Efficient Training of Neural Stochastic Differential Equations by Matching Finite Dimensional Distributions
984. ICLR 2025Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs
985. ICLR 2025Efficiently Parameterized Neural Metriplectic Systems
986. ICLR 2025Error-quantified Conformal Inference for Time Series
987. ICLR 2025Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting
988. ICLR 2025FACTS: A Factored State-Space Framework for World Modelling
989. ICLR 2025Fast and Slow Streams for Online Time Series Forecasting Without Information Leakage
990. ICLR 2025Federated Granger Causality Learning For Interdependent Clients With State Space Representation
991. ICLR 2025Feedback Favors the Generalization of Neural ODEs
992. ICLR 2025Filtered not Mixed: Filtering-Based Online Gating for Mixture of Large Language Models
993. ICLR 2025Flash Inference: Near Linear Time Inference for Long Convolution Sequence Models and Beyond
994. ICLR 2025Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting
995. ICLR 2025FreDF: Learning to Forecast in the Frequency Domain
996. ICLR 2025From Layers to States: A State Space Model Perspective to Deep Neural Network Layer Dynamics
997. ICLR 2025Going Beyond Static: Understanding Shifts with Time-Series Attribution
998. ICLR 2025HR-Extreme: A High-Resolution Dataset for Extreme Weather Forecasting
999. ICLR 2025Identifying latent state transitions in non-linear dynamical systems
1000. ICLR 2025In-context Time Series Predictor

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.