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researcher

Frank Schneider

University of Tübingen

12 papers hereh-index 7448 citations19 works total

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

author position
  • first author2
  • middle author8
  • last author1

Across the 11 of 12 papers where every author was matched, so the position is known.

fields
  • cs.LG12
affiliations
  • University of Tübingen
  • Max Planck Institute for Intelligent Systems, Tübingen
Homepage
same name
  • Frank Schneider — 1 paper, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedDescending through a Crowded Valley - Benchmarking Deep Learning Optimizers

34 citations · 53 across the 11 of their papers we have counts for

collaborators
Showing 2026Show all

1 paper · 1 filter

cs.LG2026

Towards Easier-to-Tune Training Algorithms: New Results from AlgoPerf

Priya Kasimbeg, Ahmed Khaled, Aahlad Chandrabhatta +9

Evaluating deep learning optimizer is challenging because confounding factors such as hyperparameter tuning and optimizer-model co-design often obscure true algorithmic performance…

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