Niels Drost

GANS

Using generative machine learning for synthetic microdata for research in the Social Sciences

MobyLe - Motion by Learning

Estimating Motion of Objects on Earth from Space

Decoding Raphael

Computational Study of the Production and Reproduction of Italian Renaissance Paintings

Modeling life outcomes

Modeling life outcomes through foundational machine learning models

ROOFIT

Optimized parallel calculation of complex likelihood fits of LHC data

Digital Bastards for a Climate Resilient Delta

Springtime

Spatiotemporal phenology research with interpretable models

MAGIC

Metrics and Access to Global Indices for Climate Projections

Navigating Stories in Times of Transition

The COVID-19 Pandemic as a Use Case

AstroToM

Turing or Milankovitch? Are sedimentary rhythms self-organized or astronomically forced?

CollAIte

An Artificial Intelligence Approach to Comparing Text Versions

New avenues for studying ice sheets in warmer climates

New models simulate ice sheets for millions of years