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DTSTART;TZID=Europe/Paris:20190301T093000
DTEND;TZID=Europe/Paris:20190301T110000
DTSTAMP:20190218T131956Z
CREATED:20190218T131956Z
LAST-MODIFIED:20190218T131956Z
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SUMMARY:Seminar : Xiaofang Wang
DESCRIPTION:Xiaofang Wang (Inria Rennes) will give a seminar on March 1st at 9.30 am in room A006. \nHer presentation is entitled « From Image segmentation and active colloids tracking\, to weakly supervised object detection ». \nI will present my research activities\, covering four axes in machine learning. They are unsupervised learning for image segmentation and active colloids tracking\, weakly supervsed object detection\, supervised learning for 3D object classification and domain adaptation in transfer learning. First\, a short overview on all axes is introduced. Then I will present several works in depth\, including graph based image segmentation and object tracking\, as well as what is weakly supervised in object detection and our contribution. Finally\, a theorectical introduction on the domain adaptation and our proposals will be discussed. Please find more details here:https://team.inria.fr/rainbow/fr/xiaofang-wang/.
URL:https://www.loria.fr/event/seminar-xiaofang-wang/
CATEGORIES:Séminaire
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20190308T133000
DTEND;TZID=Europe/Paris:20190308T150000
DTSTAMP:20190115T104422Z
CREATED:20190115T104422Z
LAST-MODIFIED:20190115T104422Z
UID:6383-1552051800-1552057200@www.loria.fr
SUMMARY:D3 Seminar : David Gutierrez Estevez\, Samsung
DESCRIPTION:Next D3 Seminar will take place on Friday\, March 8th at 1.30 pm in room A008. \nDavid Gutierrez Estevez (Samsung) will give a presentation entitled « 5G Architecture and Elastic Network Slicing: A View from the 5G-MoNarch Project ». \nAbstract:  Vertical markets and industries are addressing a large diversity of heterogeneous services\, use cases\, and applications in 5G. It is currently common understanding that for networks to be able to satisfy those needs\, a flexible\, adaptable\, and programmable architecture based on network slicing is required. Moreover\, a softwarization and cloudification of the networks is already underway\, where network functions (NFs) are transformed from monolithic pieces of equipment to programs running over a shared pool of computational and communication resources. In this talk\, an overview will be given on the topic of 5G architecture with a special emphasis on network slicing. Furthermore\, the talk will encompass the view on the topic from the 5G-PPP research project 5G-MoNArch (5G MobileNetwork Architecture for diverse services\, use cases\, and applications in 5G and beyond)\, which has been working for the last 18 months on designing an architecture that will combine today’s consolidated concepts (such as virtualization\, slicing and orchestration of access and core functions) with several novel innovations targeted at optimizing the envisioned architecture. In particular\, the talk will look at the network resource elasticity innovation\, a key means to make an efficient use of the computational resources in 5G systems aided by artificial intelligence and data analytics. \nBio: Dr. David M. Gutierrez Estevez obtained his Engineering Degree in Telecommunications (Hons.) from the Universidad de Granada\, Spain\, and his M.S. and Ph.D. degrees from Georgia Institute of Technology in Atlanta\, USA. He developed his Ph.D. thesis at the Broadband Wireless Networking Laboratory under the supervision of Prof. Ian F. Akyildiz\, obtaining the Researcher of the Year Award in 2013. From Sept. 2014 to Sept. 2015\, David worked for Huawei Technologies as Principal Research Engineer in Silicon Valley in the area of cloud computing. Previous to that\, David had held an internship position at the Corporate R&D Division of Qualcomm\, as well as research assistant and intern positions at Fraunhofer Heinrich Hertz Institute and Fraunhofer Institute for Integrated Circuits\, both in Germany. Since January 2016\, David is with the 5G Research and Standards team of the Samsung Electronics R&D Institute UK\, currently holding a Principal Engineer position where he leads several research projects and participates in different standardization activities related to network architecture. \n 
URL:https://www.loria.fr/event/d3-seminar-david-gutierrez-estevez-samsung/
CATEGORIES:Séminaire
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20190311
DTEND;VALUE=DATE:20190315
DTSTAMP:20190208T101437Z
CREATED:20190208T101437Z
LAST-MODIFIED:20190208T101437Z
UID:6527-1552262400-1552607999@www.loria.fr
SUMMARY:MLA 2019
DESCRIPTION:The Third Workshop on Mathematical Logic and its Applications will take place at Loria between March 11th and March 14th. \nMore information : mla2019.loria.fr \nWorkshop Description\nThe workshop brings together researchers of mathematical logic and its related areas\, and would provide a forum for interplay between these areas. This workshop\, organised by Loria\, will be held as a part of the JSPS Core-to-Core Program “Mathematical Logic and its Applications”\, which is led by Japan Advanced Institute of Science and Technology (JAIST) in cooperation with several institutes both in Japan and abroad. Anyone\, not restricted to the members of the project\, is welcome to participate. \nScope\nThe scope includes (but is not limited to) the following topics and their applications: \n\nIntuitionistic logic\nType theory\nProof theory\nConstructive analysis/topology\nProgram extraction\nReverse mathematics\nComputable analysis/topology\nRecursion theory (Computability theory)\nNon-classical logic\nComputational complexity\n\nSubmission\nExtended abstracts (1-2 pages) of original work are welcome.\nThe deadline is January 28\, 2019.\nUpload your submission via EasyChair. \nImportant dates\nSubmission: January 28\, 2019\nNotification: February 1st\, 2019\nDeadline for registration: February 20\, 2019\nWorkshop: March 11-14\, 2019
URL:https://www.loria.fr/event/mla-2019/
CATEGORIES:Séminaire
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20190319T140000
DTEND;TZID=Europe/Paris:20190319T150000
DTSTAMP:20190319T085158Z
CREATED:20190315T142954Z
LAST-MODIFIED:20190319T085158Z
UID:6679-1553004000-1553007600@www.loria.fr
SUMMARY:Séminaire : Joël Legrand
DESCRIPTION:Joël Legrand\, MCF à Lille de l’équipe Inria Magnet\, viendra nous présenter ses travaux le mardi 19 mars à 14h en salle A007 à CentraleSupélec (2 rue Edouard Belin\, Metz). \nSa présentation est intitulée « Syntax-based Word Sequence Modeling using Deep Learning ». \n \nAbstract: \nTraditionally\, natural language processing (NLP) relied on generative models with task specific and manually engineered features.\nRecently deep learning approaches provided state of-the-art results in various fields such as computer vision\, speech processing and natural language processing.\nThe central idea behind these approaches is to learn features and models simultaneously\, in an end-to-end manner\, and making as few assumptions as possible.\nIn NLP\, word embeddings\, mapping words in a dictionary on a continuous low-dimensional vector space\, have proven to be very efficient for a large variety of tasks while requiring almost no a-priori linguistic assumptions. \nIn this talk\, I will present some results on representations of segments of sentences using deep neural network models.\nIn particular\, I will show how syntactic structures\, such as consistuency and dependency syntactic trees\, can be leveraged for the\npurpose of solving NLP tasks that involve complex sentence-level relationships.\nI will first introduce the key concepts of deep learning for NLP. I will then focus on two empirical studies concerning the tasks of\nsyntactic parsing using recursive neural networks (RNN) and relationship extraction from text using tree-LSTM with dependency structures. \nSelected publications:\n[1]. Joint RNN-based greedy parsing and word composition.\nJoël Legrand and Ronan Collobert.\nProceeding of the 3rd International Conference on Learning\nRepresentations (ICLR 2015)\nhttp://arxiv.org/pdf/1412.7028 \n[2] Syntax-based Transfer Learning for the Task of Biomedical Relation Extraction\nJoël Legrand\, Yannick Toussaint\, Chedy Raïssi\, Adrien Coulet\nProceeding of the Ninth International Workshop on Health Text Mining and\nInformation Analysis (LOUHI 2018)\nhttps://hal.inria.fr/hal-01869071/document \nShort bio:\nJoël Legrand received his MSc degree in Computer Science from the\nUniversité de Lorraine and his Ph.D in Electrical Engineering from the\nÉcole Polytechnique Fédérale de Lausanne (EPFL\, Switzerland).\nHe recently joined the  MAGNET team (Cristal\, INRIA-CNRS-Université de\nLille) as an associate professor (maître de conférences).
URL:https://www.loria.fr/event/seminaire-joel-legrand/
CATEGORIES:Séminaire
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DTSTART;TZID=Europe/Paris:20190319T140000
DTEND;TZID=Europe/Paris:20190319T153000
DTSTAMP:20190313T105411Z
CREATED:20190313T105411Z
LAST-MODIFIED:20190313T105411Z
UID:6659-1553004000-1553009400@www.loria.fr
SUMMARY:Seminar : Adrien Boiret
DESCRIPTION:Adrien Boiret will give a presentation on Tuesday\, 19th March at 2pm in room A008. \nHis talk is entitled « Extend the RPNI algorithm for Symbolic Learning to Transducers with Lookahead ». \n \nAbstract:\nWe consider the problem of passive symbolic learning of tree and word transducers.\nSymbolic learning means learning an exact target (automaton\, transducer…) using exact information on its (words\, input/output pairs…).\nThe passive learning problem deals with identifying a specific transducer in normal form from a finite set of behaviour examples (as opposed to the active learning that uses student-teacher interactions). \nSymbolic learning problems are solved in word languages using the RPNI algorithm\, that relies heavily on the Myhill-Nerode characterization of a minimal normal form on DFA.\nThe extensions of RPNI to word transformations and tree languages follow the same pattern: first\, a Myhill-Nerode theorem is identified\, then the normal form it induces can be learnt from examples.\n\nIn this talk I will present another extension of the RPNI model that necessitates a departure from this schema to learn rational functions on words\, performed by transducers with lookahead.\nThe notable difference is that the nature of the minimal normal form on these transducers is ill adapted to classic RPNI methods\, and thus a new normal form has to be found.
URL:https://www.loria.fr/event/seminar-adrien-boiret/
CATEGORIES:Séminaire
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20190327T110000
DTEND;TZID=Europe/Paris:20190327T120000
DTSTAMP:20190325T090116Z
CREATED:20190325T090107Z
LAST-MODIFIED:20190325T090116Z
UID:6773-1553684400-1553688000@www.loria.fr
SUMMARY:MALOTEC Seminar : Saïd Jabbour
DESCRIPTION:Next MALOTEC seminar will take place on Wednesday March 27th at 11am in room B013. \nSaïd Jabbour (Université d’Artois\, Centre de recherche en informatique de lens (CRIL)) will give a presentation entitled « Data mining by constraints ». \nAbstract: In this presentation\, I will address the issue of data mining\nby constraints. I will present some contributions on declarative\napproaches for different data mining tasks including frequent itemset\nmining and its various condensed forms\, association rules\, sequential\npattern mining\, uncertain frequent itemset mining and gradual itemset\nmining. To highlight the cross-fertilization between symbolic AI and\ndata mining\, I will show how linear constraints can be used to summarize\nlarge graphs\, how data mining techniques can be exploited to compress\nBoolean formulas and finally how the concept of symmetry\, widely\nexplored in SAT/CP\, is extended to pattern mining. \nFor more information: http://www.cril.univ-artois.fr/~jabbour/
URL:https://www.loria.fr/event/malotec-seminar-4/
CATEGORIES:Séminaire
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