Links' Seminars and Public Events |
2024 | |
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Fri 11th Oct 10:30 am 12:00 pm | Seminar from Alexis de Colnet Speaker: Alexis de Colnet (www.ac.tuwien.ac.at/people/decolnet/) Title: An FPRAS for #NFA and #nFBDD Abstract: #NFA is the problem of counting the words of a given length accepted by a non-deterministic finite automaton (NFA). The problem is #P-hard but the approximate variant admits polynomial-time randomized algorithms (FPRAS, or fully-polynomial time randomized approximation schemes). Arenas, Croquevielle, Jayaram and Riveros were the first to show that #NFA admits an FPRAS and that this result extends to several other counting problems, in fact all problems in the class SpanL. In this talk we present another FPRAS for #NFA which applies to problems not covered by Arenas et al.'s result. In particular, the FPRAS described in this talk can be used for the problem of counting the satisfying assignments of non-deterministic read-once branching programs (nFBDD). Atrium bâtiment Esprit |
Fri 7th Jun 10:00 am 11:00 am | Séminaire Sam Van Gool dualité de Stone |
Thu 30th May to Fri 31st May all day | Pysemigroup Hackaton |
Fri 24th May 11:00 am 11:30 am | Séminaire Sophie Tison Speaker: Sophie Tison Title: Containment of Regular Path Queries Under Constraints |
Thu 16th May 2:00 pm 4:00 pm | Seminar Arkaprava Title: Efficient Optimization of Network Metrics in Large Uncertain Graphs Abstract: Graphs constitute an omnipresent data structure that can model objects and their relationships in a wide variety of real-world scenarios. The optimization of network metrics finds use in a plethora of real-world applications. Most of the exact techniques for such tasks turn out to be prohibitively time-consuming and memory-intensive for the huge graphs that are usually encountered. Thus, there is a need for efficient approximation algorithms. This talk focuses on the efficient optimization of network metrics in large uncertain graphs, and specifically the following three research problems. The first problem aims to find, between a given pair of nodes in an uncertain graph, the path having the highest probability of being a shortest path. The second problem aims to find, in an uncertain graph, the subgraph having the highest probability of being densest. The third problem is a novel variant of the well-known opinion maximization problem where, given a social network of users with real-valued opinions (about different candidates), the goal is to choose the top-k seed users maximizing a specific voting-based score at a given finite time horizon. Best Regards, Arkaprava "Lieu : Lille, Salle : B11" |