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researcher

T. Pevný

39 papers hereh-index 337.7k citations129 works total

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

author position
  • first author6
  • middle author18
  • last author15

Across the 39 of 39 papers where every author was matched, so the position is known.

fields
  • cs.LG23
  • cs.AI4
  • cs.CR4
  • stat.ML4
  • math.OC2
  • cs.MM1

identity via Semantic Scholar / OpenAlex

activity
20162026
most citedAre generative deep models for novelty detection truly better?

32 citations · 106 across the 33 of their papers we have counts for

collaborators
Showing 2018Show all

3 papers · 1 filter

cs.LG2018★ 32 cited

Are generative deep models for novelty detection truly better?

Vít Škvára, Tomáš Pevný, Václav Šmídl

Many deep models have been recently proposed for anomaly detection. This paper presents comparison of selected generative deep models and classical anomaly detection methods on an…

math.OC2018

Algorithms for solving optimization problems arising from deep neural net models: nonsmooth problems

Vyacheslav Kungurtsev, Tomas Pevny

Machine Learning models incorporating multiple layered learning networks have been seen to provide effective models for various classification problems. The resulting optimization…

math.OC2018★ 5 cited

Algorithms for solving optimization problems arising from deep neural net models: smooth problems

Vyacheslav Kungurtsev, Tomas Pevny

Machine Learning models incorporating multiple layered learning networks have been seen to provide effective models for various classification problems. The resulting optimization…

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