{"total":17,"rows":[{"id":"2202.11316","title":"Multivariate Quantile Function Forecaster","created":"2022-02-23","cited_by_count":19,"area":null},{"id":"2305.14406","title":"Deep Learning based Forecasting: a case study from the online fashion industry","created":"2023-05-23","cited_by_count":12,"area":null},{"id":"2502.09443","title":"Relational Conformal Prediction for Correlated Time Series","created":"2025-02-13","cited_by_count":11,"area":null},{"id":"2312.14880","title":"SutraNets: Sub-series Autoregressive Networks for Long-Sequence, Probabilistic Forecasting","created":"2023-12-22","cited_by_count":7,"area":null},{"id":"2501.07601","title":"Real-Time Decision-Making for Digital Twin in Additive Manufacturing with Model Predictive Control using Time-Series Deep Neural Networks","created":"2025-01-10","cited_by_count":7,"area":null},{"id":"2205.15894","title":"VQ-AR: Vector Quantized Autoregressive Probabilistic Time Series Forecasting","created":"2022-05-31","cited_by_count":3,"area":null},{"id":"2311.17797","title":"Learning to Simulate: Generative Metamodeling via Quantile Regression","created":"2023-11-29","cited_by_count":3,"area":null},{"id":"2402.16435","title":"Training Implicit Generative Models via an Invariant Statistical Loss","created":"2024-02-26","cited_by_count":3,"area":null},{"id":"2404.17451","title":"Any-Quantile Probabilistic Forecasting of Short-Term Electricity Demand","created":"2024-04-26","cited_by_count":2,"area":null},{"id":"2410.08378","title":"Deep Generative Quantile Bayes","created":"2024-10-10","cited_by_count":2,"area":null},{"id":"2303.08909","title":"Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning","created":"2023-03-15","cited_by_count":1,"area":null},{"id":"2312.15002","title":"C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting","created":"2023-12-22","cited_by_count":1,"area":null},{"id":"2403.05713","title":"tsGT: Stochastic Time Series Modeling With Transformer","created":"2024-03-08","cited_by_count":1,"area":null},{"id":"2405.04252","title":"VAEneu: A New Avenue for VAE Application on Probabilistic Forecasting","created":"2024-05-07","cited_by_count":1,"area":null},{"id":"2504.04242","title":"Task-based Loss Functions in Computer Vision: A Comprehensive Review","created":"2025-04-05","cited_by_count":1,"area":null},{"id":"2212.02578","title":"Auxiliary Quantile Forecasting with Linear Networks","created":"2022-12-05","cited_by_count":0,"area":null},{"id":"2605.28531","title":"Stabilizing distribution-free probabilistic forecasts","created":"2026-05-27","cited_by_count":0,"area":null}],"next_cursor":null}