ERC Consolidator Grant · 2023
Not Knowing in Deep Representation Learning
Machine learning and artificial intelligence techniques are progressing at a tremendous pace and impressive results appear across scientific fields. However, as machine learning models grow in capacity, they become increasingly ‘black box’, and it becomes harder for humans to reason about the patterns discovered by the machine. A root cause of this difficulty is that most machine learning models can express the same pattern in infinitely many, equally good, ways within their internal representations of the world. This is known as an identifiability problem. Today we lack a general solution to identifiability problems, and either give up on understanding the patterns discovered by the…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.