Seminars

Links' Seminars and Public Events Add to google calendar
2024
Thu 30th May
to Fri 31st May
 all day
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Pysemigroup Hackaton

Fri 24th May
11:00 am
11:30 am
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Séminaire Sophie Tison
Speaker: Sophie Tison

Title: Containment of Regular Path Queries Under Constraints
Thu 16th May
2:00 pm
4:00 pm
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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"
Fri 19th Apr
11:00 am
12:00 pm
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Seminar Pierre Lermusiaux
Speaker: Pierre Lermusiaux (plermusi.github.io/)

Title: Detection of Uncaught Exceptions in Functional Programs by Abstract
Interpretation

Abstract:

Exception handling is a key feature in modern programming languages. Exceptions
can be used to deal with errors, or as a means to control the flow of execution
of a program. Since they might unexpectedly terminate a program, unhandled
exceptions are a serious safety concern. We propose a static analysis to detect
uncaught exceptions in functional programs, that is defined as an abstract
interpreter. It computes a description of the values potentially returned by a
program using a novel abstract domain, that can express inductively defined
sets of values. Simultaneously, the analysis infers the possibly raised
exceptions, by computing in the abstract exception monad. This abstract
interpreter has been implemented as an effective static analyser for a large
subset of OCaml programs, that supports mutable data types, the OCaml module
system, and dynamically extensible data types such as the exception type. The
analyser has been evaluated on several hundreds of OCaml programs.
Fri 5th Apr
10:30 am
11:30 am
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Séminaire Guillaume Lagarde
Titre: Scaling Neural Program Synthesis with Distribution-based Search
Abstract:
In this talk, we will discuss the problem of automatically constructing
computer programs from input-output examples, especially when the
target language is domain-specific and defined using a context-free
grammar. I will introduce a theoretical framework called
distribution-based search, discuss its challenges, and present several
search strategies based on learning the weights of a probabilistic
context-free grammar (PCFG) and then using this PCFG to enumerate the
most promising candidate programs efficiently.
The presentation will be based on the following paper published at
AAAI'2022: arxiv.org/abs/2110.12485
Joint work with Nathanaël Fijalkow, Théo Matricon, Kevin Ellis, Pierre
Ohlmann, Akarsh Potta

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