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Viktor Andersson

2 papers hereh-index 221 citations5 works total

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

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • math.OC1
  • stat.ML1
same name
  • Viktor Andersson — 4 papers, h 3

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 citedOn the Interpretability of Regularisation for Neural Networks Through Model Gradient Similarity

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

math.OC2023

Controlled Descent Training

Viktor Andersson, Balázs Varga, Vincent Szolnoky +3

In this work, a novel and model-based artificial neural network (ANN) training method is developed supported by optimal control theory. The method augments training labels in order…

stat.ML2022★ 2 cited

On the Interpretability of Regularisation for Neural Networks Through Model Gradient Similarity

Vincent Szolnoky, Viktor Andersson, Balazs Kulcsar +1

Most complex machine learning and modelling techniques are prone to over-fitting and may subsequently generalise poorly to future data. Artificial neural networks are no different…

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