probabilistic forecasting

Beyond MSE: Ordinal Cross-Entropy for Probabilistic Time Series Forecasting AAAI 2026 DEEP: A Discourse Evolution Engine for Predictions About Social Movements AAAI 2026 Multi-Horizon Time Series Forecasting of Non-Parametric CDFs with Deep Lattice Networks AAAI 2026 Probabilistic Precipitation Nowcasting with Rectified Flow Transformers CVPR 2026 Towards High Resolution Probabilistic Coastal Inundation Forecasting from Sparse Observations AAAI 2026 K^2VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting ICML 2025 Conditional Denoising Meets Polynomial Modeling: A Flexible Decoupled Framework for Time Series Forecasting IJCAI 2025 Diffusion-based Decoupled Deterministic and Uncertain Framework for Probabilistic Multivariate Time Series Forecasting ICLR 2025 Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting ICLR 2025 KooNPro: A Variance-Aware Koopman Probabilistic Model Enhanced by Neural Process for Time Series Forecasting ICLR 2025 Non-stationary Diffusion For Probabilistic Time Series Forecasting ICML 2025 Probabilistic Forecasting of Irregularly Sampled Time Series with Missing Values via Conditional Normalizing Flows AAAI 2025 QuantileFormer: Probabilistic Time Series Forecasting with a Pattern-Mixture Decomposed VAE Transformer IJCAI 2025 Better Batch for Deep Probabilistic Time Series Forecasting AISTATS 2024 Latent Diffusion Transformer for Probabilistic Time Series Forecasting AAAI 2024 Multivariate Probabilistic Time Series Forecasting with Correlated Errors NeurIPS 2024 Probabilistic Forecasting with Generative Networks via Scoring Rule Minimization JMLR 2024 Probabilistic reconciliation of mixed-type hierarchical time series UAI 2024 Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks NeurIPS 2024 ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons NeurIPS 2024 TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series ICLR 2024 Transformer-Modulated Diffusion Models for Probabilistic Multivariate Time Series Forecasting ICLR 2024 VQ-TR: Vector Quantized Attention for Time Series Forecasting ICLR 2024 AutoGluon–TimeSeries: AutoML for Probabilistic Time Series Forecasting AutoML 2023 Coherent Probabilistic Forecasting of Temporal Hierarchies AISTATS 2023