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researcher

Peter Súkeník

9 papers hereh-index 8161 citations9 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author6
  • middle author3

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.LG8
  • cs.CV1

identity via Semantic Scholar / OpenAlex

activity
20212026
most citedThe Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes

3 citations · 6 across the 8 of their papers we have counts for

collaborators
Showing 2023Show all

1 paper · 1 filter

cs.LG2023

Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features Model

Peter Súkeník, Marco Mondelli, Christoph Lampert

Neural collapse (NC) refers to the surprising structure of the last layer of deep neural networks in the terminal phase of gradient descent training. Recently, an increasing amount…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.