Machine Learning Street Talk · Wednesday, September 23, 2026
The TPEN system, leveraging transformer architectures, can intrinsically understand discrete data and handle complex preprocessing tasks like dealing with missing values and outliers directly within the network. This eliminates the need for extensive manual data science work.
“And, and I guess the architecture is vaguely resembling deep, deep sets. So it can actually intrinsically understand discrete data.”
“Dealing with missing values, dealing with outliers, etc. That there was all, like, a lot of steps in your preprocessing, having to deal with that is, of course, very nice, and then just makes you so much faster.”