statmixedml / awesome-time-series

list of papers, code, and other resources

🎉 Welcome to my GitHub-Repo

I work as a Machine Learning Scientist with special interest in

• Statistical Machine Learning
• Probabilistic & Distributional Modeling
• Neural Time Series Forecasting
• Foundational Time Series Models
• Representation Learning
• Deep Learning for Tabular Data
• Transfer Learning
• Tree-Based Modeling
• ...

💡 I'm currently working on

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.

   

💻 Languages and Tools

               

💭 Ask me anything about

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

💬 Favourite Quotes

"With four parameters I can fit an elephant, and with five I can make him wiggle his trunk."

— John von Neumann

"For the true is the indicator both of itself and of the false."

— Baruch Spinoza

"I want AI to do my laundry and dishes so that I can do art and writing, not for AI to do my art and writing so that I can do my laundry and dishes."

— Joanna Maciejewska

"What we don't understand, we explain to each other."

— J. Robert Oppenheimer

📈 GitHub Stats