statmixedml / attentionbasedmultimodalrnn Goto Github PK

I work as a Machine Learning Scientist with special interest in

• Probabilistic Machine Learning & Distributional Regression
• Neural Time Series Forecasting
• Foundational Time Series Models
• Self‑Supervised Representation Learning
• Deep Learning for Tabular Data
• Transfer Learning
• ...

Extensions of the major decision tree algorithms to a probabilistic framework that models and predicts the entire conditional distribution of univariate and multivariate targets as a function of covariates.

My areas of interest. But I am also more than happy for an exchange on other interesting topics.

"With four parameters I can fit an elephant, and with five I can make him wiggle his trunk."
(John von Neumann)