activity
20152019
most citedQuerying Best Paths in Graph Databases

1 citations · 1 across the 3 of their papers we have counts for

collaborators

8 papers

cs.FL2019

Approximate Learning of Limit-Average Automata

Jakub Michaliszyn, Jan Otop

Limit-average automata are weighted automata on infinite words that use average to aggregate the weights seen in infinite runs. We study approximate learning problems for limit-ave…

cs.FL2019

Long-Run Average Behavior of Vector Addition Systems with States

Krishnendu Chatterjee, Thomas A. Henzinger, Jan Otop

A vector addition system with states (VASS) consists of a finite set of states and counters. A configuration is a state and a value for each counter; a transition changes the state…

cs.FL2017

Average Stack Cost of Buechi Pushdown Automata

Jakub Michaliszyn, Jan Otop

We study the average stack cost of Buechi pushdown automata (Buechi PDA). We associate a non-negative price with each stack symbol and define the cost of a stack as the sum of cost…

cs.DB20171 cited

Querying Best Paths in Graph Databases

Jakub Michaliszyn, Jan Otop, Piotr Wieczorek

Querying graph databases has recently received much attention. We propose a new approach to this problem, which balances competing goals of expressive power, language clarity and c…

cs.FL2017

Bidirectional Nested Weighted Automata

Krishnendu Chatterjee, Thomas A. Henzinger, Jan Otop

Nested weighted automata (NWA) present a robust and convenient automata-theoretic formalism for quantitative specifications. Previous works have considered NWA that processed input…

cs.FL2016

Nested Weighted Limit-Average Automata of Bounded Width

Krishnendu Chatterjee, Thomas A. Henzinger, Jan Otop

While weighted automata provide a natural framework to express quantitative properties, many basic properties like average response time cannot be expressed with weighted automata.…