◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Roland Herzog

4 papers hereh-index 212 citations4 works total

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

author position
  • first author1
  • middle author1
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • math.FA1
  • math.OC1
same name
  • Roland Herzog — 27 papers, h 22
  • Roland Herzog — 5 papers, h 2
  • Roland Herzog — 5 papers, h 4
  • Roland Herzog — 3 papers, h 1
  • Roland Herzog — 2 papers, h 1
  • Roland Herzog — 2 papers, 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

most citedFrobenius-Type Norms and Inner Products of Matrices and Linear Maps with Applications to Neural Network Training

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

math.FA2024

Nonlinear Fenchel Conjugates

Anton Schiela, Roland Herzog, Ronny Bergmann

The classical concept of Fenchel conjugation is tailored to extended real-valued functions defined on linear spaces. In this paper we generalize this concept to functions defined o…

cs.LG2023★ 1 cited

Frobenius-Type Norms and Inner Products of Matrices and Linear Maps with Applications to Neural Network Training

Roland Herzog, Frederik Köhne, Leonie Kreis +1

The Frobenius norm is a frequent choice of norm for matrices. In particular, the underlying Frobenius inner product is typically used to evaluate the gradient of an objective with…

math.OC2023

Adaptive Step Sizes for Preconditioned Stochastic Gradient Descent

Frederik Köhne, Leonie Kreis, Anton Schiela +1

This paper proposes a novel approach to adaptive step sizes in stochastic gradient descent (SGD) by utilizing quantities that we have identified as numerically traceable -- the Lip…

cs.LG2023

SensLI: Sensitivity-Based Layer Insertion for Neural Networks

Leonie Kreis, Evelyn Herberg, Frederik Köhne +2

The training of neural networks requires tedious and often manual tuning of the network architecture. We propose a systematic approach to inserting new layers during the training p…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.