⚠️ Ce site n'est plus maintenu https://project.inria.fr/mastic Retrouvez-nous sur http://terra-numerica.org/ Thu, 11 May 2023 07:45:47 +0000 fr-FR hourly 1 https://wordpress.org/?v=5.9.7 https://project.inria.fr/mastic/files/2018/07/cropped-chat-wozniak-zoome-32x32.png ⚠️ Ce site n'est plus maintenu https://project.inria.fr/mastic 32 32 In’Tro (May 30th 2023, 1.30pm): On the Random Subset Sum Problem and Neural Networks – Emanuele Natale (COATI) https://project.inria.fr/mastic/intro-may-30th-2023-1-30pm-on-the-random-subset-sum-problem-and-neural-networks-emanuele-natale-coati/ Fri, 07 Apr 2023 07:08:37 +0000 https://project.inria.fr/mastic/?p=2705 Continuer la lecture

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Abstract:
The Random Subset Sum Problem (RSSP) is a fundamental problem in mathematical optimization, especially in understanding the statistical behavior of integer linear programs.
Recently, the theory related to this problem has also found applications in theoretical machine learning, providing key tools for proving the Strong Lottery Ticket Hypothesis (SLTH) for dense neural network architectures. In this talk, I will give a brief overview of this research direction and present my recent joint work that pushes the application of RSSP further by providing a proof of the SLTH for convolutional neural networks.

Bio:
Before accepting a CNRS position in 2018 and joining the I3S Lab and INRIA d’Université Côte d’Azur, Emanuele Natale has been a fellow of the Simons Institute for the Theory of Computing in the Brain and Computation Program and a postdoctoral fellow at the Max Planck Institute for Informatics. In 2019, He has received the Best Italian Young Researcher in Theoretical Computer Science award by the Italian Chapter of the European Association of Theoretical Computer Science, from which he also received the Best PhD Thesis in Theoretical Computer Science in 2017. In 2016, he has been a recipient of the Best Student Paper Award at the European Symposium on Algorithms.
Emanuele Natale’s research originally focused on the mathematical analysis of simple distributed probabilistic algorithms that allow multi-agent systems to solve global coordination tasks, with applications spanning machine learning, sociology and theoretical biology. More recently, his research interests have shifted mainly to neuroscience and machine learning, with a focus on the role of sparsification in neural networks.

The presentation will be in English and streamed on BBB

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In’Tro (February 10th 2023, 1.30pm): AI for species identification that explains like an expert. – Diego Marcos (ZENITH) https://project.inria.fr/mastic/intro-february-10th-2023-1-30pm-diego-marcos-zenith/ Tue, 17 Jan 2023 13:17:53 +0000 https://project.inria.fr/mastic/?p=2692 Continuer la lecture

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Title: AI for species identification that explains like an expert.
Abstract: In this project the aim is to enable large scale biodiversity monitoring by citizen scientists by developing Explainable Machine Learning methods that reason like a taxonomist, explicitly detecting relevant traits on a specimen’s image and reaching a species identification conclusion based on them. This will help scientists obtain valuable data from rare or undescribed species, make use of low quality real-world images and make it easier for everyone to become an amateur naturalist, thus raising awareness about biodiversity and the rapid pace at which we are losing it. We will jointly use Computer Vision (CV) and Natural Language Processing (NLP) methods to extract the relevant visual features and model taxonomic descriptions.
First, we will leverage the vast amount of structured textual species descriptions that are available online, such as in Wikipedia, to train a first NLP model, starting with a pre-trained transformers-based model, that will be used to discriminate between text belonging to species descriptions. This first model will be used to further increase the amount of textual descriptions by parsing additional websites that contain species descriptions.
In a second step, the textual descriptions will be analyzed in terms of part-of-speech in order to understand the different life stages (e.g. egg, hatchling, immature, female adult, male adult, etc.) and parts (e.g. leaf, stem, flower, bark, fruit, etc.) that are being described, extract their corresponding attributes, and identify relative descriptions in case another species is mentioned for comparison.
The last step requires developing a method for linking this knowledge graph to a Computer Vision model. To do this we will leverage the millions of images annotated with the species names, belonging to tens of thousands of species, that are freely available at the Global Biodiversity Information Facility (GBIF).

The presentation will be in English and streamed on Webex.

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Café In (27 avril 2023 – 13h): C@fé In et Art https://project.inria.fr/mastic/cafe-in-27-avril-2022-13h-cfe-in-et-art/ Fri, 13 Jan 2023 17:02:04 +0000 https://project.inria.fr/mastic/?p=2686 Continuer la lecture

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Jean-Pierre Merlet nous présentera différents aspects d’une collaboration entre
une équipe INRIA et une artiste qui s’est concrétisé par une exposition du 9/7/2022 au
16/10/2022 à l’Espace de l’Art Concret à Mouans Sartoux. Cette exposition a consisté à
détourner un de nos robots pour en faire une grande imprimante 3D travaillant dans un
espace de 40 mètres carré, le matériaux étant de la poudre de micro-billes de verre sans
liant. Jean-Pierre présentera l’intérêt scientifique de la participation à ce projet,
quelques résultats et les conséquences interdisciplinaires qu’il pourrait avoir parfois
sur des sujets surprenants et très loin de la robotique. Il conclura par quelques
remarques sur la complexité pratique de cette interdisciplinarité impliquant des acteurs
(musée, artiste, scientifiques) ayant chacun leur sémantique, leur code de communication
et leurs pratiques.

robot - art Jean-Pierre
Jean-Pierre Merlet – Responsable scientifique du projet HEPHAISTOS / Centre Inria d’Université Côte d’Azur / Vitrifications, 201 9-2022 micro-billes de verre, traiectoire numérique aléatoire auto-intersectante, système de remplissage (bidon, accéléromètre}, système robot parallèle à câbles {treuils, codeurs incrémentaux, lidars, système automatique de contrôle), capteurs environnementaux, webcam. dimensions variables Œuvre conçue en collaboration avec INRIA Institut national de recherche en sciences et techno­logies du numérique pour la partie robotisée (équipe Héphaïstos, Sophia Antipolis: responsable scientifique du projet – Jean-Pierre Merlet, charaé de recherche – Yves Papegay). Avec le soutien du laboratoire Proiect[s] de l’Ecole nationale supérieure d’architecture de Marseille et l’aide au développement et à la production du DICRéAM (Dispositif pour la création artistique multimédia et numérique) du CNC {Paris, 2018 et 2019). Courtesy Anne-Valérie Gasc et la Galerie UN-SPACED, Paris / EAC – Espace de l’Art Concret – Mouans-Sartoux

Rejoignez-nous en salle d’extension de la cafétéria à 13h!

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Café In (24 janvier 2023 – 15h15): C@fé In spécial : Présentation Learning Lab & Inria Academy https://project.inria.fr/mastic/cafe-in-24-janvier-2022-15h-cfe-in-special-presentation-learning-lab-inria-academy/ Fri, 06 Jan 2023 17:06:08 +0000 https://project.inria.fr/mastic/?p=2675 Continuer la lecture

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Durant nos carrières chez Inria nous sommes sans cesse confrontés au besoin de se former mais aussi de partager nos connaissances avec d’autres, grand public ou entreprises.

A travers Inria Learning Lab, équipe du service EMS Education Médiation Scientifique et Inria Academy, Inria a l’ambition de proposer à tout public des formations au numérique de qualité, que ce soit par une offre de contenus dédiés à une acculturation aux sciences du numérique pour un large public ou, par des offres en formation continue pour permettre d’évoluer tout au long de nos carrières et de valoriser nos compétences.

Pour découvrir les Epoc, formations courtes sur smartphone, les Moocs proposés sur FUN, France Université Numérique et les formations aux logiciels libres d’Inria Academy, nous jouerons tous ensemble sur nos smartphones et de jolis prix seront offerts pour les plus assidus!

Nos présentateurs du jour seront Marie-Hélène Comte, Aurelie Lagarrigue, Olga Kiefer et David Simplot.

La présentation se fera en français en salle d’extension de la cafétéria et sera suivie d’une galette offerte par la direction.

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In’Tro (12 décembre 2022, 1.30pm): How? And Why? in biomedical data assimilation and modelling – Irène Balelli (EPIONE) https://project.inria.fr/mastic/intro-12-decembre-2022-1-30pm-irene-balelli-epione/ Mon, 14 Nov 2022 08:51:50 +0000 https://project.inria.fr/mastic/?p=2666 Continuer la lecture

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Replay Irène’s presentation

Summary

In this talk I will discuss the need of questioning the “How?” and the “Why?” when building data assimilation methods and predictive models, especially in the medical context, for more interpretable and trustable algorithmic prescriptions. This will be the occasion to present and discuss some of my works, embedded in this philosophy.

Biography

I am a research scientist (ISFP – Inria Starting Faculty Position) at Centre INRIA d’Université Côte d’Azur, in the EPIONE team. I am interested in developing mathematical and statistical models for computational biomedicine. Current research interests include Bayesian learning, Mechanistic modeling, Federated learning, Population dynamics, In-silico trials and Causality.

Previous to that, I received my Ph.D. from Université Paris 13, Sorbonne Paris Cité in 2016, with a dissertation titled Mathematical foundations of antibody affinity maturation, where I focused on the development of a mathematical framework based on graphs, to model antibody affinity maturation of B-cells.
In 2017 I have joined the SISTM team (INSERM U1219 Bordeaux Population Health and INRIA) as a postdoc. As part of the EBOVAC European consortia, I focused on the mechanistic modeling of the immune response to a prime-boost vaccination strategy against Ebola virus, developed by Janssen.
In 2020 I have joined the EPIONE team at Centre Inria d’Université Côte d’Azur as a postdoc, where I got interested in the development of Bayesian learning methods in a federated setting, with a particular attention to health applications.

irene balleli

irene balleli

 

The presentation will be in English and streamed on BBB.

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Café In (10 novembre 2022): Lutter contre les ravageurs des cultures : De l’usage des pesticides vers des alternatives plus respectueuses de l’environnement (Eric Wajnberg, Hephaistos) https://project.inria.fr/mastic/cafe-in-10-novembre-2022-lutter-contre-les-ravageurs-des-cultures-de-lusage-des-pesticides-vers-des-alternatives-plus-respectueuses-de-lenvironnement-eric-wajnberg-hephaistos/ Wed, 28 Sep 2022 18:25:15 +0000 https://project.inria.fr/mastic/?p=2659 Continuer la lecture

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Résumé

Depuis les débuts de l’humanité, l’homme a cherché à se débarrasser des ravageurs de cultures et des mauvaises herbes. De nombreux procédés, parfois ingénieux, ont été proposés, aboutissant à la fin de la seconde guerre mondiale à la production industrielle et l’usage massif de pesticides de synthèses qui semblaient efficaces. Malheureusement, les ravageurs et mauvaises herbes sont progressivement devenu résistants à ces produits, conduisant à la fois à augmenter les doses d’épandage utiliser et à la recherche continuelle de nouvelles molécules. Par ailleurs, les produits utilisés se sont avérés particulièrement nocifs pour la santé humaine et l’environnement. L’exposé fera un état des lieux historique du développement de l’usage des pesticides, de la situation aujourd’hui dans le monde, et des problèmes associés à leur utilisation. La proposition d’idées alternatives, telle que l’usage de plantes génétiquement modifiées, sera également présentée ainsi que les développements actuels en terme de lutte biologique, largement plus respectueuse de l’environnement.

Biographie

Eric Wajnberg

Eric Wajnberg

Mon activité scientifique a pour objet de comprendre les mécanismes adoptés par les insectes parasitoïdes pour attaquer leurs hôtes. Comprendre ces mécanismes conduit à optimiser le choix des espèces d’auxiliaires à utiliser dans des programmes de lutte biologique ou d’améliorer leur efficacité à contrôler leurs hôtes au cours des lâchers. Des approches théoriques sont développées – principalement des simulations de Monte Carlo couplées à des algorithmes génétiques – et des expérimentations sont menées afin de vérifier les prédictions obtenues. Les variations génétiques des caractères biologiques étudiés sont également quantifiées dans les populations naturelles ou en élevage. Les espèces étudiées sont soit des oophages (Trichogrammatidae et Scelionidae), soit des parasitoïdes de pucerons. Les principaux caractères étudiés concernent (1) ceux impliqués dans l’allocation à la descendance ou au sexe, (2) les mécanismes locomoteurs impliqués dans la recherche d’hôtes (trajectométrie) (3) les stratégies d’exploitation des patchs d’hôtes, etc.

 

 

La présentation se fera en français en salle d’extension de la cafétéria et en visio (https://bbb.inria.fr/sau-vys-2lr-pp5).

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In’Tro (26 septembre 2022, 1.30pm): All that glitters is not gold: Decision Making Under Noisy Observations – Samir M. Perlaza (NEO) https://project.inria.fr/mastic/intro-26-septembre-2022-1-30pm-samir-m-perlaza-neo/ Tue, 30 Aug 2022 12:43:35 +0000 https://project.inria.fr/mastic/?p=2650 Continuer la lecture

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Replay Samir’s presentation

 

In this short talk, the impact of noisy observation of data in decision making is studied through the lenses of information and game theories. The conclusions of this talk are general and span several applications in engineering, including supervised machine learning, data transmission over networks, and state estimation in electrical smart grids.

Samir M. Perlaza is a permanent member of the scientific staff at INRIA, the French Institute for Research in Computer Science and Applied Mathematics; an associate member of the Department of Mathematics (Laboratory GAATI) of the University of French Polynesia; and a visiting research collaborator in the Department of Electrical and Computer Engineering at Princeton University. He received the M.Sc. and Ph.D. degrees from École Nationale Supérieure des Télécommunications (Telecom ParisTech) in 2008 and 2011, respectively. From 2008 to 2011, he was also a research engineer at France Télécom – Orange Labs (Paris, France). He has held long-term academic appointments at the Alcatel-Lucent Chair in Flexible Radio at Supélec; Princeton University and the University of Houston.

Dr. Perlaza’s research interests are in the areas of information theory, game theory, data sciences, and their applications in wireless networks, power systems, and artificial intelligence. Among his publications in these areas is the recent book ‘‘Advanced Data Analytics for Power Systems’’ (Cambridge University Press, 2021).

Dr. Perlaza has served as an Editor of the IEEE TRANSACTIONS ON COMMUNICATIONS, the IET Smart Grid Journal, and Frontiers in Communications and Networks.

Recognition of his work includes the Alban Fellowship and the Marie Sklodowska-Curie Fellowship, both from the European Commission.

 

The presentation will be in English and streamed on BBB.

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In’Tro (13 juin 2022, 1.30pm) : Flat optics for future daily life applications – Mahmoud Elsawy (ATLANTIS) https://project.inria.fr/mastic/intro-6-juin-2022-1-30pm-mahmoud-elsawy-atlantis/ Mon, 28 Mar 2022 07:24:02 +0000 https://project.inria.fr/mastic/?p=2630 Continuer la lecture

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Replay Mahmoud’s presentation

 

Abstract

Modern real-life technology demands miniaturization and boosting the performance of conventional optical components. Recently, the field of flat optics “Metasurfaces” has received remarkable attention owing to its capability of controlling all the light properties in a short propagation distance with high resolution. Metasurfaces are optical components consisting of sub-wavelength spaced nanostructures which introduce highly resolved phase, amplitude, and polarization changes on the incoming wavefront. Owing to the versatility and the capabilities of metasurfaces, many exotic and peculiar applications ranging from subwavelength optical microscopy to augmented reality have been demonstrated. Yet, the strong light-matter interactions at the nanoscale require advanced modelling techniques to boost the performance towards the industrial level.
In this talk, I will present our recent activities in the field of metasurfaces. The underlying physical mechanism will be introduced associated with the modelling challenges. Besides, the optimized devices ranging from passive beam deflectors to broadband metalenses together with the perspective trends and opportunities as dynamical control and light-emitting metasurfaces will be highlighted.

Biography

Mahmoud Elsawy is permanent researcher (ISFP) at Atlantis project-team, Inria, Sophia Antipolis. His research focuses on numerical modelling and optimization of metasurfaces and complex nanophotonic devices. He received his PhD degree at the University of Aix-Marseille, France in 2017 with a specialization in Optics, Photonics, and image processing. The topic of the PhD was related to modelling and improvements of complex nonlinear plasmonic waveguides that can be fabricated and characterized experimentally.

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In’Tro (2 mai 2022, 1.30pm) : Computational Brain Connectivity Mapping – Samuel Deslauriers-Gauthier (ATHENA) https://project.inria.fr/mastic/intro-2-mai-2022-1-30pm-samuel-deslauriers-gauthier-athena/ Thu, 16 Dec 2021 09:19:22 +0000 https://project.inria.fr/mastic/?p=2560 Continuer la lecture

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Watch Samuel’s presentation

Title

Computational Brain Connectivity Mapping

Abstract

In the first part of this talk, I will present my background, research interests, and the project that allowed me to join Inria: the ERC CoBCoM. In the second part, I will provide an overview of my current research, which is on the estimation and quantification of whole brain networks. I will start by introducing the tools of the trade: magnetic resonance imaging (MRI), diffusion MRI, functional MRI, electroencephalography, and magnetoencephalography. Then, I will discuss how these imaging techniques provide complementary views of the brain and how we can combine them to gain new insights about the dynamics of the brain. Finally, I will conclude by discussing the open problems and challenges of non-invasively characterizing a network composed of 80 billion neurons connected by 160 000 km of axons.

Bio

Samuel Deslauriers-Gauthier obtained a master from the l’École de Technologie Supérieure de Montréal in 2010 and a doctorate in signal processing from the Nanyang Technological University of Singapour in 2014. After a postdoctoral fellowship at l’Université de Sherbrooke, he joined Inria in 2017 as a Starting Research Position in the ERC Advanced Grant of Rachid Deriche and in September 2021 he obtained a Inria Starting Faculty Position. His research interests are centered around signal modelling and processing in medical imaging, more specifically in electroencephalography, magnetoencephalography, magnetic resonance imaging, and electromyography. His recent work has focused on recovering the information flow in the white matter of the brain from multi-modal imaging and understanding the link between the brain’s structure and function.

 

The presentation will be in English and streamed on BBB.

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In’Tro (7 mars 2022, 1.30pm) : Reasoning with Ontologies on Knowledge Graphs – David Carral (GRAPHIK) https://project.inria.fr/mastic/intro-7-mars-2022-1-30pm-david-carral-graphik/ Thu, 16 Dec 2021 09:18:57 +0000 https://project.inria.fr/mastic/?p=2575 Continuer la lecture

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Watch David’s talk

Summary

In a couple of days, I will be giving you a short intro presentation, which is structured in three parts:

  1. First, I will tell you a bit about my career and research interests. More precisely, I will talk about the researchers and institutions with whom and where I have worked, respectively; as well as the venues where I usually publish.
  2. Second, I will describe and provide a high-level motivation for my research. The goal provide an accessible introduction to the work I do and try to convince you of its usefulness.
  3.  Finally, I will  also provide you with some links and materials to know more about my work (in case you’re interested!). I will also leave my contact information so you can ask me any questions directly.

Slides of the presentation

Biography

Hi! My name is David Carral and I am a CRCN researcher working in the GraphIK Inria team, which is based in Montpellier. Broadly speaking, I am interested in the study of logical languages (mostly first-order logic, existential rules, and Description Logics) and their theoretical/computational properties. Moreover, I am also interested in the implementation of efficient reasoning algorithms for these logical languages. For more information about what I am doing these days, have a look at my website: https://www-sop.inria.fr/members/David.Carral/

 

 

 

 

 

The presentation will be in English on BBB

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