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Michael Kamp

Monash University

15 papers hereh-index 11583 citations31 works total

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

author position
  • first author4
  • middle author7
  • last author4

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • cs.LG12
  • cs.CR1
  • cs.CV1
  • cs.DC1
affiliations
  • Monash University
HomepageORCID 0000-0001-6231-0694
same name
  • Michael Kamp — 8 papers, h 6
  • Michael Kamp — 4 papers, h 2
  • Michael Kamp — 2 papers, h 1
  • Michael Kamp — 2 papers, h 3
  • Michael Kamp — 1 paper, 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

activity
20182025
most citedMedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision

35 citations · 40 across the 11 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.LG2019★ 2 cited

A Reparameterization-Invariant Flatness Measure for Deep Neural Networks

Henning Petzka, Linara Adilova, Michael Kamp +1

The performance of deep neural networks is often attributed to their automated, task-related feature construction. It remains an open question, though, why this leads to solutions…

cs.LG2019

Communication-Efficient Distributed Online Learning with Kernels

Michael Kamp, Sebastian Bothe, Mario Boley +1

We propose an efficient distributed online learning protocol for low-latency real-time services. It extends a previously presented protocol to kernelized online learners that repre…

cs.DC2019

Adaptive Communication Bounds for Distributed Online Learning

Michael Kamp, Mario Boley, Michael Mock +3

We consider distributed online learning protocols that control the exchange of information between local learners in a round-based learning scenario. The learning performance of su…

cs.CR2019

System Misuse Detection via Informed Behavior Clustering and Modeling

Linara Adilova, Livin Natious, Siming Chen +2

One of the main tasks of cybersecurity is recognizing malicious interactions with an arbitrary system. Currently, the logging information from each interaction can be collected in…

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