Daniely Lab

Hebrew University of Jerusalem

- · Israel

ERC-funded
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Research focus

ERC Starting Grant · 2021

Understanding Deep Learning

While extremely successful, deep learning (DL) still lacks a solid theoretical foundation. In the last 5 years the PI focused almost entirely on DL theory, yielding a strong publication record with 7 papers at NeurIPS (the leading ML conference), including 2 spotlights (top 3% of submitted papers) and one oral (top 1%), 2 papers at ICLR (the leading DL conference), and 1 paper at COLT (the leading ML theory conference). These results are amongst the first that break a 20 years hiatus in NN theory, thereby giving some hope for a solid deep learning theory. This includes 1) the first poly-time learnability result for non-trivial function class by SGD on NN, 2) the first such result with near…

From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.

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