{"total":252,"rows":[{"id":"2206.08496","title":"Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency","created":"2022-06-17","cited_by_count":250,"area":null},{"id":"2403.20150","title":"TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods","created":"2024-03-29","cited_by_count":249,"area":null},{"id":"2406.16964","title":"Are Language Models Actually Useful for Time Series Forecasting?","created":"2024-06-22","cited_by_count":168,"area":null},{"id":"2201.12886","title":"N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting","created":"2022-01-30","cited_by_count":146,"area":null},{"id":"2110.05357","title":"Graph-Guided Network for Irregularly Sampled Multivariate Time Series","created":"2021-10-11","cited_by_count":111,"area":null},{"id":"2310.10196","title":"Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook","created":"2023-10-16","cited_by_count":110,"area":null},{"id":"2412.10859","title":"DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting","created":"2024-12-14","cited_by_count":107,"area":null},{"id":"2311.01933","title":"ForecastPFN: Synthetically-Trained Zero-Shot Forecasting","created":"2023-11-03","cited_by_count":104,"area":null},{"id":"2306.10125","title":"Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects","created":"2023-06-16","cited_by_count":99,"area":null},{"id":"2405.08790","title":"Kolmogorov-Arnold Networks (KANs) for Time Series Analysis","created":"2024-05-14","cited_by_count":98,"area":null},{"id":"2406.08627","title":"Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis","created":"2024-06-12","cited_by_count":74,"area":null},{"id":"2405.07344","title":"TKAN: Temporal Kolmogorov-Arnold Networks","created":"2024-05-12","cited_by_count":71,"area":null},{"id":"2103.12057","title":"An Experimental Review on Deep Learning Architectures for Time Series Forecasting","created":"2021-03-22","cited_by_count":47,"area":null},{"id":"2303.16005","title":"Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Prediction","created":"2023-03-28","cited_by_count":47,"area":null},{"id":"2410.04442","title":"TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting","created":"2024-10-06","cited_by_count":40,"area":null},{"id":"2502.08942","title":"Language in the Flow of Time: Time-Series-Paired Texts Weaved into a Unified Temporal Narrative","created":"2025-02-13","cited_by_count":40,"area":null},{"id":"2203.09978","title":"WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series","created":"2022-03-18","cited_by_count":30,"area":null},{"id":"2209.08307","title":"A review of predictive uncertainty estimation with machine learning","created":"2022-09-17","cited_by_count":29,"area":null},{"id":"2406.09130","title":"Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning","created":"2024-06-13","cited_by_count":27,"area":null},{"id":"2109.13851","title":"Reinforcement Learning for Quantitative Trading","created":"2021-09-28","cited_by_count":24,"area":null},{"id":"2204.08771","title":"EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting","created":"2022-04-19","cited_by_count":22,"area":null},{"id":"2302.09818","title":"FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification","created":"2023-02-20","cited_by_count":21,"area":null},{"id":"2309.00638","title":"Generative AI for End-to-End Limit Order Book Modelling: A Token-Level Autoregressive Generative Model of Message Flow Using a Deep State Space Network","created":"2023-08-23","cited_by_count":20,"area":null},{"id":"2503.11835","title":"How Can Time Series Analysis Benefit From Multiple Modalities? A Survey and Outlook","created":"2025-03-14","cited_by_count":20,"area":null},{"id":"2205.07493","title":"Multi-scale Attention Flow for Probabilistic Time Series Forecasting","created":"2022-05-16","cited_by_count":19,"area":null},{"id":"2305.04811","title":"Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020-2022","created":"2023-04-21","cited_by_count":17,"area":null},{"id":"2112.02625","title":"Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View","created":"2021-12-05","cited_by_count":15,"area":null},{"id":"2308.01578","title":"Unsupervised Representation Learning for Time Series: A Review","created":"2023-08-03","cited_by_count":14,"area":null},{"id":"2304.10740","title":"Multi-Modal Deep Learning for Credit Rating Prediction Using Text and Numerical Data Streams","created":"2023-04-21","cited_by_count":13,"area":null},{"id":"2505.18442","title":"Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting","created":"2025-05-24","cited_by_count":12,"area":null},{"id":"2509.05215","title":"BEDTime: A Unified Benchmark for Automatically Describing Time Series","created":"2025-09-05","cited_by_count":12,"area":null},{"id":"2110.08255","title":"Yformer: U-Net Inspired Transformer Architecture for Far Horizon Time Series Forecasting","created":"2021-10-13","cited_by_count":11,"area":null},{"id":"2203.03282","title":"Interpretable part-whole hierarchies and conceptual-semantic relationships in neural networks","created":"2022-03-07","cited_by_count":11,"area":null},{"id":"2310.08137","title":"Counterfactual Explanations for Time Series Forecasting","created":"2023-10-12","cited_by_count":10,"area":null},{"id":"2502.06026","title":"A Multimodal PDE Foundation Model for Prediction and Scientific Text Descriptions","created":"2025-02-09","cited_by_count":10,"area":null},{"id":"2503.10198","title":"Deep Learning for Time Series Forecasting: A Survey","created":"2025-03-13","cited_by_count":10,"area":null},{"id":"2508.19609","title":"FinCast: A Foundation Model for Financial Time-Series Forecasting","created":"2025-08-27","cited_by_count":10,"area":null},{"id":"2107.05984","title":"Deep Autoregressive Models with Spectral Attention","created":"2021-07-13","cited_by_count":9,"area":null},{"id":"2308.01915","title":"LOB-Based Deep Learning Models for Stock Price Trend Prediction: A Benchmark Study","created":"2023-07-05","cited_by_count":9,"area":null},{"id":"2410.02081","title":"MixLinear: Extreme Low Resource Multivariate Time Series Forecasting with 0.1K Parameters","created":"2024-10-02","cited_by_count":9,"area":null},{"id":"2503.21422","title":"From Deep Learning to LLMs: A survey of AI in Quantitative Investment","created":"2025-03-27","cited_by_count":9,"area":null},{"id":"2402.04355","title":"PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation","created":"2024-02-06","cited_by_count":8,"area":null},{"id":"2405.10093","title":"LaT-PFN: A Joint Embedding Predictive Architecture for In-context Time-series Forecasting","created":"2024-05-16","cited_by_count":8,"area":null},{"id":"2406.19852","title":"FootBots: A Transformer-based Architecture for Motion Prediction in Soccer","created":"2024-06-28","cited_by_count":8,"area":null},{"id":"2502.14045","title":"There are no Champions in Supervised Long-Term Time Series Forecasting","created":"2025-02-19","cited_by_count":8,"area":null},{"id":"2505.23017","title":"$K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting","created":"2025-05-29","cited_by_count":8,"area":null},{"id":"2106.04219","title":"Time-series Imputation of Temporally-occluded Multiagent Trajectories","created":"2021-06-08","cited_by_count":7,"area":null},{"id":"2306.06252","title":"Feature Programming for Multivariate Time Series Prediction","created":"2023-06-09","cited_by_count":7,"area":null},{"id":"2308.13386","title":"TFDNet: Time-Frequency Enhanced Decomposed Network for Long-term Time Series Forecasting","created":"2023-08-25","cited_by_count":7,"area":null},{"id":"2406.07438","title":"DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series Forecasting","created":"2024-06-11","cited_by_count":7,"area":null},{"id":"2301.04020","title":"Quant 4.0: Engineering Quantitative Investment with Automated, Explainable and Knowledge-driven Artificial Intelligence","created":"2022-12-13","cited_by_count":6,"area":null},{"id":"2312.00626","title":"Forecasting trends in food security with real time data","created":"2023-12-01","cited_by_count":6,"area":null},{"id":"2406.04777","title":"Modeling Temporal Dependencies within the Target for Long-Term Time Series Forecasting","created":"2024-06-07","cited_by_count":6,"area":null},{"id":"2502.06645","title":"Koopman-Equivariant Gaussian Processes","created":"2025-02-10","cited_by_count":6,"area":null},{"id":"2601.22538","title":"Learning-to-Defer in Non-Stationary Time Series via Switching State-Space Models","created":"2026-01-30","cited_by_count":6,"area":null},{"id":"2602.01588","title":"Spectral Text Fusion: A Frequency-Aware Approach to Multimodal Time-Series Forecasting","created":"2026-02-02","cited_by_count":6,"area":null},{"id":"2202.04146","title":"A Neural Phillips Curve and a Deep Output Gap","created":"2022-02-08","cited_by_count":5,"area":null},{"id":"2203.07844","title":"What is the best RNN-cell structure to forecast each time series behavior?","created":"2022-03-15","cited_by_count":5,"area":null},{"id":"2208.10375","title":"Simulation-Informed Revenue Extrapolation with Confidence Estimate for Scaleup Companies Using Scarce Time-Series Data","created":"2022-08-19","cited_by_count":5,"area":null},{"id":"2303.16149","title":"Explaining Exchange Rate Forecasts with Macroeconomic Fundamentals Using Interpretive Machine Learning","created":"2023-03-23","cited_by_count":5,"area":null},{"id":"2311.10387","title":"Stable Attractors for Neural networks classification via Ordinary Differential Equations (SA-nODE)","created":"2023-11-17","cited_by_count":5,"area":null},{"id":"2312.07296","title":"Complex Recurrent Spectral Network","created":"2023-12-12","cited_by_count":5,"area":null},{"id":"2402.08373","title":"Time-Series Classification for Dynamic Strategies in Multi-Step Forecasting","created":"2024-02-13","cited_by_count":5,"area":null},{"id":"2405.10597","title":"UniCL: A Universal Contrastive Learning Framework for Large Time Series Models","created":"2024-05-17","cited_by_count":5,"area":null},{"id":"2407.08442","title":"How Deep is your Guess? A Fresh Perspective on Deep Learning for Medical Time-Series Imputation","created":"2024-07-11","cited_by_count":5,"area":null},{"id":"2410.07216","title":"Evaluating Financial Relational Graphs: Interpretation Before Prediction","created":"2024-09-28","cited_by_count":5,"area":null},{"id":"2501.15070","title":"Unifying Prediction and Explanation in Time-Series Transformers via Shapley-based Pretraining","created":"2025-01-25","cited_by_count":5,"area":null},{"id":"2602.20419","title":"CREDIT: Certified Ownership Verification of Deep Neural Networks Against Model Extraction Attacks","created":"2026-02-23","cited_by_count":5,"area":null},{"id":"2106.10159","title":"FinGAT: Financial Graph Attention Networks for Recommending Top-K Profitable Stocks","created":"2021-06-18","cited_by_count":4,"area":null},{"id":"2202.08968","title":"Stock Embeddings: Learning Distributed Representations for Financial Assets","created":"2022-02-14","cited_by_count":4,"area":null},{"id":"2204.02360","title":"Scientometric Review of Artificial Intelligence for Operations & Maintenance of Wind Turbines: The Past, Present and Future","created":"2022-03-30","cited_by_count":4,"area":null},{"id":"2207.11577","title":"Augmented Bilinear Network for Incremental Multi-Stock Time-Series Classification","created":"2022-07-23","cited_by_count":4,"area":null},{"id":"2210.08347","title":"Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications","created":"2022-10-15","cited_by_count":4,"area":null},{"id":"2302.13850","title":"Exploring the Advantages of Transformers for High-Frequency Trading","created":"2023-02-20","cited_by_count":4,"area":null},{"id":"2407.15869","title":"Long Input Sequence Network for Long Time Series Forecasting","created":"2024-07-18","cited_by_count":4,"area":null},{"id":"2409.00094","title":"Examining Independence in Ensemble Sentiment Analysis: A Study on the Limits of Large Language Models Using the Condorcet Jury Theorem","created":"2024-08-26","cited_by_count":4,"area":null},{"id":"2410.14180","title":"XForecast: Evaluating Natural Language Explanations for Time Series Forecasting","created":"2024-10-18","cited_by_count":4,"area":null},{"id":"2411.05852","title":"$\\spadesuit$ SPADE $\\spadesuit$ Split Peak Attention DEcomposition","created":"2024-11-06","cited_by_count":4,"area":null},{"id":"2503.09712","title":"Revisiting Backdoor Attacks on Time Series Classification in the Frequency Domain","created":"2025-03-12","cited_by_count":4,"area":null},{"id":"2503.22693","title":"Bridging Language Models and Financial Analysis","created":"2025-03-14","cited_by_count":4,"area":null},{"id":"2504.02119","title":"Efficient Model Selection for Time Series Forecasting via LLMs","created":"2025-04-02","cited_by_count":4,"area":null},{"id":"2504.12721","title":"TimeCapsule: Solving the Jigsaw Puzzle of Long-Term Time Series Forecasting with Compressed Predictive Representations","created":"2025-04-17","cited_by_count":4,"area":null},{"id":"2509.02341","title":"RDIT: Residual-based Diffusion Implicit Models for Probabilistic Time Series Forecasting","created":"2025-09-02","cited_by_count":4,"area":null},{"id":"2605.30292","title":"Leave a Window Out: Modifying the Jackknife for Predictive Inference in Time Series","created":"2026-05-28","cited_by_count":4,"area":null},{"id":"2107.08819","title":"Model-free prediction of emergence of extreme events in a parametrically driven nonlinear dynamical system by Deep Learning","created":"2021-07-14","cited_by_count":3,"area":null},{"id":"2107.12770","title":"Comparing Prophet and Deep Learning to ARIMA in Forecasting Wholesale Food Prices","created":"2021-07-23","cited_by_count":3,"area":null},{"id":"2207.04539","title":"Multi-task Envisioning Transformer-based Autoencoder for Corporate Credit Rating Migration Early Prediction","created":"2022-07-10","cited_by_count":3,"area":null},{"id":"2211.04752","title":"Bayesian Neural Networks for Macroeconomic Analysis","created":"2022-11-09","cited_by_count":3,"area":null},{"id":"2212.06142","title":"Towards Better Long-range Time Series Forecasting using Generative Forecasting","created":"2022-12-09","cited_by_count":3,"area":null},{"id":"2301.03703","title":"On the Susceptibility and Robustness of Time Series Models through Adversarial Attack and Defense","created":"2023-01-09","cited_by_count":3,"area":null},{"id":"2307.15830","title":"A Distance Correlation-Based Approach to Characterize the Effectiveness of Recurrent Neural Networks for Time Series Forecasting","created":"2023-07-28","cited_by_count":3,"area":null},{"id":"2308.00709","title":"DeepTSF: Codeless machine learning operations for time series forecasting","created":"2023-07-28","cited_by_count":3,"area":null},{"id":"2405.10877","title":"WEITS: A Wavelet-enhanced residual framework for interpretable time series forecasting","created":"2024-05-17","cited_by_count":3,"area":null},{"id":"2406.16766","title":"Conformal time series decomposition with component-wise exchangeability","created":"2024-06-24","cited_by_count":3,"area":null},{"id":"2408.14875","title":"Adversarial Attacks and Defenses in Multivariate Time-Series Forecasting for Smart and Connected Infrastructures","created":"2024-08-27","cited_by_count":3,"area":null},{"id":"2411.05791","title":"Forecasting Company Fundamentals","created":"2024-10-21","cited_by_count":3,"area":null},{"id":"2412.20510","title":"Stratify: Unifying Multi-Step Forecasting Strategies","created":"2024-12-29","cited_by_count":3,"area":null},{"id":"2503.02836","title":"SeqFusion: Sequential Fusion of Pre-Trained Models for Zero-Shot Time-Series Forecasting","created":"2025-03-04","cited_by_count":3,"area":null},{"id":"2509.04208","title":"One-Embedding-Fits-All: Efficient Zero-Shot Time Series Forecasting by a Model Zoo","created":"2025-09-04","cited_by_count":3,"area":null},{"id":"2510.11839","title":"WaveletDiff: Multilevel Wavelet Diffusion For Time Series Generation","created":"2025-10-13","cited_by_count":3,"area":null}],"next_cursor":"100"}