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M. Lampis

57 papers hereh-index 191.5k citations98 works total

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

author position
  • sole author10
  • first author12
  • middle author28
  • last author7

Across the 57 of 57 papers where every author was matched, so the position is known.

fields
  • cs.DS29
  • cs.CC22
  • cs.LO2
  • cs.AI1
  • cs.CG1
  • cs.DM1
same name
  • M. Lampis — 1 paper, h 1

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
20092026
most citedModel Checking Lower Bounds for Simple Graphs

13 citations · 46 across the 31 of their papers we have counts for

collaborators
Showing 2015Show all

4 papers · 1 filter

cs.CC2015★ 4 cited

Complexity and Approximability of Parameterized MAX-CSPs

Holger Dell, Eun Jung Kim, Michael Lampis +2

We study the optimization version of constraint satisfaction problems (Max-CSPs) in the framework of parameterized complexity; the goal is to compute the maximum fraction of constr…

cs.CC2015

Sub-exponential Approximation Schemes for CSPs: from Dense to Almost Sparse

Dimitris Fotakis, Michael Lampis, Vangelis Th. Paschos

It has long been known, since the classical work of (Arora, Karger, Karpinski, JCSS~99), that \MC\ admits a PTAS on dense graphs, and more generally, \kCSP\ admits a PTAS on "dense…

cs.CC2015★ 1 cited

Algorithmic Aspects of Upper Domination

Cristina Bazgan, Ljiljana Brankovic, Katrin Casel +6

In this paper we study combinatorial and algorithmic resp. complexity questions of upper domination, i.e., the maximum cardinality of a minimal dominating set in a graph. We give a…

cs.DS2015

Time-Approximation Trade-offs for Inapproximable Problems

Édouard Bonnet, Michael Lampis, Vangelis Th. Paschos

In this paper we focus on problems which do not admit a constant-factor approximation in polynomial time and explore how quickly their approximability improves as the allowed runni…

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