The MadNIS reloaded

In pursuit of precise and fast theory predictions for the LHC, we present an implementation of the MADNIS AD NIS method in the M AD G RAPH event generator. A series of improvements in MADNIS AD NIS further enhance its efficiency and speed. We validate this implementation for realistic partonic processes and find significant gains from using modern machine learning in event generators.