Felix Neutatz
Felix Neutatz
Postdoctoral Researcher
Felix Neutatz is PhD student supervised by Prof. Dr. Ziawasch Abedjan and a member of his Databases and Information Systems Group of Leibniz Universität Hannover. From 2018 to 2020, he worked as a research associate at the Intelligent Analytics for Massive Data Group at the German Research Center for Artificial Intelligence (DFKI). He received his M.Sc degree at TU Berlin and worked as a student research assistant at the Database Systems and Information Management Group (DIMA) for two and a half years. During his masters, he studied one semester as an exchange student at the Shanghai Jiao Tong University. Prior to that, he received his B.Sc degree at Baden-Württemberg Cooperative State University (DHBW Stuttgart) and worked at IBM for three years.
CIKM 2022 - Best Program Committee Award
My research focuses on the intersection of data management and machine learning, and incorporates a wide variety of aspects, such as data quality and declarative machine learning.
Felix Neutatz, Marius Lindauer, Ziawasch Abedjan
How Green is AutoML for Tabular Data?
Felix Neutatz
Constraint-aware machine learning
Felix Neutatz, Marius Lindauer, Ziawasch Abedjan
AutoML in heavily constrained applications
Felix Neutatz, Ziawasch Abedjan
What is “Good” Training Data? - Data Quality Dimensions that Matter for Machine Learning
Felix Neutatz, Binger Chen, Yazan Alkhatib, Jingwen Ye, Ziawasch Abedjan
Data Cleaning and AutoML: Would an Optimizer Choose to Clean?
Researcher Spotlight: Felix Neutatz
"Machine Learning and Data Quality" is the first concluded BIFOLD Agility Project. Get to know BIFOLD researcher Felix Neutatz and gain valuable insights into the project, his work and the Agility Program.