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Sebastian Junges

48 papers hereh-index 252.8k citations91 works total

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

author position
  • first author9
  • middle author36
  • last author1

Across the 46 of 48 papers where every author was matched, so the position is known.

fields
  • cs.LO23
  • cs.AI9
  • cs.SE8
  • cs.LG3
  • cs.FL2
  • cs.PL1
same name
  • Sebastian Junges — 14 papers, h 6
  • Sebastian Junges — 12 papers, h 4
  • Sebastian Junges — 7 papers, h 1
  • Sebastian Junges — 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
20152023
most citedSafety Analysis for Vehicle Guidance Systems with Dynamic Fault Trees

59 citations · 191 across the 36 of their papers we have counts for

collaborators
Showing 2017Show all

4 papers · 1 filter

cs.LO2017★ 5 cited

Permissive Finite-State Controllers of POMDPs using Parameter Synthesis

Sebastian Junges, Nils Jansen, Ralf Wimmer +4

We study finite-state controllers (FSCs) for partially observable Markov decision processes (POMDPs) that are provably correct with respect to given specifications. The key insight…

cs.LO2017

Markov Automata with Multiple Objectives

Tim Quatmann, Sebastian Junges, Joost-Pieter Katoen

Markov automata combine non-determinism, probabilistic branching, and exponentially distributed delays. This compositional variant of continuous-time Markov decision processes is u…

cs.SE2017

A storm is Coming: A Modern Probabilistic Model Checker

Christian Dehnert, Sebastian Junges, Joost-Pieter Katoen +1

We launch the new probabilistic model checker storm. It features the analysis of discrete- and continuous-time variants of both Markov chains and MDPs. It supports the PRISM and JA…

cs.LO2017★ 1 cited

Sequential Convex Programming for the Efficient Verification of Parametric MDPs

Murat Cubuktepe, Nils Jansen, Sebastian Junges +4

Multi-objective verification problems of parametric Markov decision processes under optimality criteria can be naturally expressed as nonlinear programs. We observe that many of th…

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