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Probabilistic Forecasting

3 articles · Page 1 of 1
Bighead's Algorithm Notes
Bighead's Algorithm Notes
Jun 13, 2026 · Artificial Intelligence

Paper Reading: TimeGMM – An Adaptive GMM Framework for Probabilistic Time‑Series Forecasting

TimeGMM introduces an adaptive Gaussian‑mixture‑model framework with reversible instance normalization, a dual‑branch time encoder, and a conditional decoder, achieving up to 22.48 % improvement in CRPS and 21.23 % in NMAE over state‑of‑the‑art probabilistic forecasting methods across multiple benchmark datasets.

Adaptive NormalizationDeep LearningGaussian Mixture Model
0 likes · 15 min read
Paper Reading: TimeGMM – An Adaptive GMM Framework for Probabilistic Time‑Series Forecasting
Meituan Technology Team
Meituan Technology Team
Aug 18, 2022 · Artificial Intelligence

Highlights of Meituan’s KDD 2022 Papers

This article presents concise introductions and download links for seven Meituan research papers accepted at KDD 2022, covering knowledge‑graph pre‑training, automatic feature and architecture selection for pre‑ranking, user intent discovery, persuasion factor modeling, counterfactual policy learning for top‑K recommendation, probabilistic forecasting of food preparation time, and a multi‑stage bonus allocation framework for meal delivery.

KDD 2022Knowledge GraphProbabilistic Forecasting
0 likes · 15 min read
Highlights of Meituan’s KDD 2022 Papers