Seminars

Links' Seminars and Public Events Add to google calendar
2020
Wed 8th Jan
1:30 pm
3:30 pm
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Introduction to argumentation theory
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Salle Agora 1, Bâtiment ESPRIT
2019
Thu 19th Dec
11:00 am
1:30 pm
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Thèse L. Gallois

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amphi Bâtiment B Inria
Fri 13th Dec
11:45 am
1:00 pm
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1. On Parsing Gpath (Jérémy and Antonio) 2. On Nested Regular Expression (Joachim)
Fri 13th Dec
10:30 am
11:45 am
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Repet Lily pour l'équipe
"Lille-Salle B31 "
Tue 24th Sep
10:00 am
11:00 am
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Stijn Vansummeren
Title: General Dynamic Yannakakis: Conjunctive Queries with Theta Joins Under Updates
Abstract:
The ability to efficiently analyze changing data is a key requirement
of many real-time analytics applications like Stream Processing,
Complex Event Recognition, Business Intelligence, and Machine
Learning.

Traditional approaches to this problem are based either on the
materialization of subresults (to avoid their recomputation) or on the
recomputation of subresults (to avoid the space overhead of
materialization). Both techniques have recently been shown suboptimal:
instead of fully materializing results and subresults, one can
maintain a data structure that supports efficient maintenance under
updates and can quickly enumerate the full query output, as well as
the changes produced under single updates.

In our work we are concerned with designing a practical family of
algorithms for dynamic query evaluation based on this idea, and for
queries featuring both equi-joins and inequality joins, as well as
certain forms of aggregation. Our main insight is that, for acyclic
conjunctive queries, such algorithms can naturally be obtained by
modifying Yannakakis' seminal algorithm for processing acyclic joins
in the static setting.

In this talk I present the main ideas behind this modfication,
offset it against the traditional ways of doing incremental view
maintenance, and discuss recent extensions such as dealing with
general theta-joins.
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Amphitheater of INRIA Building B.
Tue 25th Jun
11:30 am
5:30 pm
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Happy Hours
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Inria Lille
Tue 25th Jun
10:30 am
11:30 am
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Seminar Véronique Benzaken and Évelyne Contejean
Elles présenteront un outil qui prend en entrée une requête SQL et sa compilation par Postrgres sous forme de plan d'exécution, et démontre (avec Coq) que la requête initiale est équivalente au plan d'exécution.
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Lille-Salle B21
Fri 21st Jun
11:00 am
12:00 pm
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Charles
Fri 24th May
11:00 am
12:00 pm
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Seminaire Sławek
Fri 10th May
11:00 am
12:00 pm
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Seminaire Iovka
Fri 12th Apr
11:00 am
12:30 pm
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Alexandre Vigny in Links Seminar
Fri 5th Apr
11:00 am
12:30 pm
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Talk of Semyon Grigorev
Title: Parsing techniques for context-free path querying
Abstract: Context-free path querying (CFPQ) is a case of language constrained path querying: the way to specify constraints on paths in a graph in terms of formal languages. In CFPQ language is restricted to be a context-free. Classical parsing techniques and algorithms, such as generalized LR and LL parsing, or parser combinators, can be used for CFPQ. Results of adaptation of different parsing techniques for CFPQ will be presented.
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B31
Fri 5th Apr
11:00 am
12:00 pm
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Semyon Grigorev in Links' seminar
Fri 22nd Mar
10:00 am
11:30 am
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Seminar LINKS by Aurelien Lemay "Tutorial: Grammatical Inference"
Fri 8th Mar
11:00 am
12:00 pm
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Seminar Momar
Title: Regular Matching and Inclusion on Compressed Tree Patterns with Context Variables

Abstract: We study the complexity of regular matching and inclusion for compressed tree patterns extended by context variables. The addition of context variables to tree patterns permits us to properly capture compressed string patterns but also compressed patterns for unranked trees with tree and hedge variables. Regular inclusion for the latter is relevant to certain query answering on Xml streams with references.
Fri 15th Feb
11:00 am
12:00 pm
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Seminar [Florent]
Wed 13th Feb
1:30 pm
2:30 pm
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30mn de science : Florent Capelli on Knowledge Compilation

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Inria salle Plénière (Bâtiment A)
Fri 1st Feb
11:00 am
12:30 pm
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Bruno Guillon in Links' seminar
Title: Finding paths in large graphs

Abstract:
When dealing with large graphs, classical algorithms for finding paths such as Dijkstra's Algorithm are unsuitable, because they require to perform too many disk accesses. To avoid this while keeping a data structure of size quasi-linear in the size of the graph, we propose to guide the path search with a distance oracle, obtained from a topological embedding of the graph.
I will present fresh experimental research on this topic, in which we obtain graph embeddings using learning algorithms from natural language processing. On some graphs, such as the graph of publications from DBLP, our topologically-guided path search allows us to visit a small portion of the graph only, in average.
This is joint work with Charles Paperman.
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B21 Room

Lien Permanent pour cet article : https://team.inria.fr/links/fr/seminars/