Tagged articles

Gaussian Mixture Model

3 articles · Page 1 of 1

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

Data Party THU

Oct 30, 2025 · Artificial Intelligence

How to Generate Realistic Synthetic Data with Histograms and GMMs

This article explains two practical techniques—histogram‑based per‑column synthesis and Gaussian‑Mixture‑Model generation—for creating large, privacy‑preserving synthetic datasets that retain the statistical distributions and inter‑column relationships of the original data, and shows how to evaluate their quality.

Data GenerationGaussian Mixture ModelPandas

0 likes · 27 min read

How to Generate Realistic Synthetic Data with Histograms and GMMs

Tencent Tech

Nov 9, 2023 · Artificial Intelligence

How Adaptive Skinning Model Boosts Low-Cost High-Quality 3D Face Reconstruction

This article introduces the Adaptive Skinning Model (ASM), a low‑cost yet high‑precision 3D face reconstruction technique that leverages Gaussian‑Mixture skinning weights and dynamic bone binding to surpass traditional 3DMM methods and achieve state‑of‑the‑art results on multiple benchmarks.

3D face reconstructionGaussian Mixture Modeladaptive skinning

0 likes · 13 min read

How Adaptive Skinning Model Boosts Low-Cost High-Quality 3D Face Reconstruction