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Exposé par Sergey Dovga: «Asymptotic distribution of parameters in random maps»

Orateur: Sergey Dovgal
Lieu: Salle Philippe Flajolet
Date: Mer. 6 févr. 2019, 11h00-12h00

La prochaine séance du séminaire Combi du Plateau de Saclay aura lieu ce mercredi à 11h dans la salle Philippe Flajolet du LIX. Nous aurons le plaisir d'écouter Sergey Dovgal (LIPN, Université Paris 13) nous donner un exposé sur «Asymptotic distribution of parameters in random maps». Le résumé est disponible ci-dessous.

Le programme du séminaire est disponible ici : https://galac.lri.fr/pages/combi-seminar.html

Abstract: In this joint work with Olivier Bodini, Julien Courtiel, and Hsien-Kuei Hwang, we consider random rooted maps without regard to their genus. We address the problem of limiting distributions for six different parameters:

  • vertices
  • leaves
  • loops
  • root edges
  • root isthmic constructions
  • root vertex degree

Each parameter has a different limiting distribution, varying from (discrete) geometric and Poisson to (continuous) Beta, normal, uniform, and an unusual bounded distribution characterised by its moments.

Olivier Bournez récompensé par le prix La Recherche 2019

Olivier Bournez, et ses co-auteurs, se sont vus attribué le prix La Recherche 2019, mention Sciences de l'information pour leur publication «Strong Turing Completeness of Continuous Chemical Reaction Networks and Compilation of Mixed Analog-Digital Programs».

La remise du prix se déroulera le 13 février 2019 à l'université Paris-Dauphine.

Pour plus d'informations, voir la page Prix La Recherche 2019 - 15e édition sur le site du magazine La Recherche.


Talk by Fei Song: «Anomaly Detection and Explanation Discovery on Event Streams»

Orateur: Fei Song
Lieu: Thomas Flowers room, Turing building
Date: Fri, 1 Feb 2019, 14:00-15:00

Fei Song will present his 2018 BIRTE paper on February 1st (Friday), 2pm. The talk will take place in the Thomas Flowers room, Turing building.

Abstract: As enterprise information systems are collecting event streams from various sources, the ability of a system to automatically detect anomalous events and further provide human readable explanations is of paramount importance. In this position paper, we argue for the need of a new type of data stream analytics that can address anomaly detection and explanation discovery in a single, integrated system, which not only offers increased business intelligence, but also opens up opportunities for improved solutions. In particular, we propose a two-pass approach to building such a system, highlight the challenges, and offer initial directions for solutions

Talk by Michael Neff: «Computational Approaches to Nonverbal Communication: Personality Synthesis and Interaction in Embodied VR»

Orateur: Michael Neff
Lieu: Room Henri Poincaré
Date: Tue, 29 Jan 2019, 11:00-12:00

Michael Neff (Motion Lab, University of California, Davis) will give a talk in STREAM group meeting tomorrow at 11am (Salle Henri Poincaré, RdC), entitled: Computational Approaches to Nonverbal Communication: Personality Synthesis and Interaction in Embodied VR»

Abstract: This talk will discuss two different bodies of work. The first part of the talk will examine how nonverbal communication, and in particular gesture, conveys personality to observers. Our work is framed using the Five Factor or OCEAN model of personality from social psychology. Drawing both from the psychology literature and primary perceptual research, I'll show how movement changes impact perceived character personality. I'll look at particular movement changes that influence personality traits and also show that in many cases, people may be making two distinct personality judgments, rather than five, as would be expected for the five factor personality model. The second part of the talk will focus on how people interact in virtual reality when provided with motion tracked avatars. I'll discuss a study that compared interaction in VR with embodied avatars, interaction in a shared VR environment, but no avatars, and face-to-face interaction. Interestingly, the embodied VR condition performed comparably to face-to-face social interaction on a range of measures, including social presence and conversational turn length.

Bio: Michael Neff is a professor in Computer Science and Cinema & Digital Media at the University of California, Davis where he leads the Motion Lab, an interdisciplinary research effort in character animation and embodied interaction. He holds a Ph.D. from the University of Toronto and is also a Certified Laban Movement Analyst. His interests include character animation, especially modeling expressive movement, nonverbal communication, gesture and applying performing arts knowledge to animation. He received an NSF CAREER Award, the Alain Fournier Award for his dissertation, two best paper awards and the Isadora Duncan Award for Visual Design. He is past Chair of the Department of Cinema and Digital Media.