Cecile Germain
63
Documents
Présentation
Publications
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Trigger Rate Anomaly Detection with Conditional Variational Autoencoders at the CMS ExperimentMachine Learning and the Physical Sciences Workshop at the 33rd Conference on Neural Information Processing Systems (NeurIPS), Dec 2019, Vancouver, Canada
Communication dans un congrès
hal-02428005v1
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Anomaly Detection With Conditional Variational AutoencodersICMLA 2019 - 18th IEEE International Conference on Machine Learning and Applications, Dec 2019, Boca Raton, United States. pp.1651-1657, ⟨10.1109/ICMLA.2019.00270⟩
Communication dans un congrès
hal-02396279v1
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Systematics aware learning: a case study in High Energy PhysicsESANN 2018 - 26th European Symposium on Artificial Neural Networks, Apr 2018, Bruges, Belgium
Communication dans un congrès
hal-01715155v1
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The TrackML challengeNIPS 2018 - 32nd Annual Conference on Neural Information Processing Systems, Dec 2018, Montreal, Canada. pp.1-23
Communication dans un congrès
hal-01745714v1
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Adversarial learning to eliminate systematic errors: a case study in High Energy PhysicsNIPS 2017 - workshop Deep Learning for Physical Sciences, Dec 2017, Long Beach, United States. pp.1-5
Communication dans un congrès
hal-01665925v1
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How Machine Learning won the Higgs Boson ChallengeEuropean Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2016, Bruges, Belgium
Communication dans un congrès
hal-01423097v1
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A platform for scientific data sharingBDA2015 - Bases de Données Avancées, Sep 2015, Île de Porquerolles, France
Communication dans un congrès
hal-01168496v1
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The Higgs Machine Learning Challenge21st International Conference on Computing in High Energy and Nuclear Physics (CHEP 2015), Apr 2015, Okinawa, Japan. pp.072015, ⟨10.1088/1742-6596/664/7/072015⟩
Communication dans un congrès
hal-01745998v1
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Certifying the interoperability of RDF database systemsLDQ 2015 - 2nd Workshop on Linked Data Quality, May 2015, Portorož, Slovenia
Communication dans un congrès
hal-01147765v1
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The Higgs boson machine learning challengeNIPS 2014 Workshop on High-energy Physics and Machine Learning, Dec 2014, Montreal, Canada. pp.37
Communication dans un congrès
hal-01208587v1
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The ATLAS Higgs Boson Machine Learning ChallengeInternational Conference on High Energy Physics(ICHEP) Conference, Jul 2014, Valencia, Spain
Communication dans un congrès
hal-01111177v1
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TFT, Tests For TriplestoresSemantic Web Challenge, part of the International Semantic Web Conference, Oct 2014, Riva Del Garda, Italy
Communication dans un congrès
hal-01104252v1
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Sequential fault monitoringCloud and Autonomic Computing, Sep 2014, London, United Kingdom
Communication dans un congrès
hal-01064161v1
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Introduction to the HEPML Workshop and the HiggsML challengeHEPML workshop at NIPS14 - Neural Information Processing Systems Conference, Dec 2014, Montreal, Canada
Communication dans un congrès
in2p3-01100982v1
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Efficient fault monitoring with Collaborative Predictionjournées scientifiques mésocentres et France Grilles 2012, Oct 2012, Paris, France
Communication dans un congrès
hal-00766086v1
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Distributed Monitoring with Collaborative Prediction12th IEEE International Symposium on Cluster, Cloud and Grid Computing (CCGrid'12), May 2012, Ottawa, Canada. epub ahead of print
Communication dans un congrès
hal-00673148v1
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The Grid ObservatoryIEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, May 2011, Newport Beach, United States
Communication dans un congrès
inria-00586502v1
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The Green Computing Observatory: a data curation approach for green ITInternational Conference on Cloud and Green Computing, Dec 2011, Sydney, Australia
Communication dans un congrès
inria-00632423v1
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Non-Markovian Reinforcement Learning for Reactive Grid schedulingConférence Francophone d'Apprentissage, May 2011, Chambéry, France
Communication dans un congrès
inria-00586504v1
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Modèles comportementaux de la grille : enjeux et exemplesRencontres Scientifiques France Grilles 2011, Sep 2011, Lyon, France
Communication dans un congrès
hal-00652998v1
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Modèles comportementaux de la grille : enjeux et exemplesPremières journées scientifiques France-Grilles, Sep 2011, Lyon, France
Communication dans un congrès
inria-00632438v1
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Characterizing E-Science File Access Behavior via Latent Dirichlet Allocation4th IEEE International Conference on Utility and Cloud Computing (UCC 2011), Dec 2011, Melbourne, Australia
Communication dans un congrès
inria-00617914v1
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Performance evaluation of the Estimated Response Time strategy: tools, methods and an experimentEGEE User Forum, Apr 2010, Uppsala, Sweden
Communication dans un congrès
inria-00544441v1
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Discovering Piecewise Linear Models of Grid Workload10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing, May 2010, Melbourne, Australia. pp.474-484
Communication dans un congrès
hal-00491562v1
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Visualizing the dynamics of e-science social networksEGEE User Forum, Apr 2010, Uppsala, Sweden
Communication dans un congrès
inria-00544452v1
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Adaptively Detecting Changes in Autonomic Grid ComputingProcs of ACS 2010, Oct 2010, Belgium. http://wiki.esi.ac.uk/ACS2010
Communication dans un congrès
hal-00540579v1
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Toward Autonomic Grids: Analyzing the Job Flow with Affinity Streaming15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Jun 2009, Paris, France
Communication dans un congrès
inria-00393825v1
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Multi-scale Real-time Grid Monitoring with Job Stream MiningCCGrid, May 2009, Shangai, China
Communication dans un congrès
inria-00367544v1
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Responsive Elastic Computing2009 ACM/IEEE Conference on International Conference on Autonomic Computing, Jun 2009, Barcelone, Spain. pp.55-64, ⟨10.1145/1555301.1555311⟩
Communication dans un congrès
inria-00384970v1
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One year of the Grid ObservatoryEGEE'09, Sep 2009, Barcelone, Spain
Communication dans un congrès
in2p3-00430415v1
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Grid Differentiated Services: a Reinforcement Learning Approach8th IEEE International Symposium on Cluster Computing and the Grid, May 2008, Lyon, France
Communication dans un congrès
inria-00287826v1
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Utility-based Reinforcement Learning for Reactive GridsThe 5th IEEE International Conference on Autonomic Computing, May 2008, Chicago, United States
Communication dans un congrès
inria-00287354v1
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Towards a statistical model of EGEE load3rd EGEE User Forum, EGEE-II project, Feb 2008, Clermont-Ferrand, France
Communication dans un congrès
inria-00289568v1
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Le modelage des travaux d'un Système de Grille16th congrès francophone AFRIF-AFIA Reconnaissance des Formes et Intelligence Artificielle (RFIA), Jan 2008, Amiens, France
Communication dans un congrès
inria-00287384v1
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Predicting Bounds on Queuing Delay in the EGEE grid2nd EGEE User Forum, May 2007, Manchester, United Kingdom
Communication dans un congrès
inria-00174290v1
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Toward Behavioral Modeling of a Grid System: Mining the Logging and Bookkeeping filesDSMM07, Oct 2007, Omaha, United States
Communication dans un congrès
inria-00174285v1
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Fault Detection and Diagnosis from the Logging and Bookkeping Data2nd EGEE User Forum, May 2007, Manchester, United Kingdom
Communication dans un congrès
inria-00174286v1
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Grid Scheduling for Interactive AnalysisHealthGrid 2006, Jun 2006, Valencia/Spain, Spain. pp.25-33
Communication dans un congrès
inria-00117491v1
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Scheduling for Interactive GridsFirst EGEE User Forum, Mar 2006, Genève/Suisse, Switzerland
Communication dans un congrès
inria-00117492v1
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Grid-enabling medical image analysisCluster Computing and Grid 2005 (CCGrid05) Bio-Medical Computations on the Grid (Bio-Grid), May 2005, Cardiff, United Kingdom. pp.339-349, ⟨10.1007/s10877-005-0679-9⟩
Communication dans un congrès
hal-00166971v1
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Data acquisition for analytical platforms: Automating scientific workflows and building an open database platform for chemical anlysis metadataChimiométrie XVII, Jan 2016, Namur, Belgium
Poster de conférence
hal-01423371v1
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The Tracking Machine Learning ChallengeNIPS workshop: Challenges in Machine Learning (CiML), Dec 2016, Barcelona, Spain
Poster de conférence
hal-01422941v1
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Summary of the Weizmann workshop: Hammers & Nails - Machine Learning & HEPDocument associé à des manifestations scientifiques hal-01665940v1 |
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Robust deep learning: A case studyJDSE 2017 - 2nd Junior Conference on Data Science and Engineering, Sep 2017, Orsay, France. , pp.1-5, 2017
Document associé à des manifestations scientifiques
hal-01665938v1
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Les occupations néolithiques de "la Bruyère du Hamel" à Condé-sur-Ifs (Calvados)Société préhistorique française, 62, 2016, Mémoires de la Société Préhistorique Française, 978-2-913745-68-1
Ouvrages
hal-02894569v1
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Data Quality Monitoring Anomaly DetectionArtificial Intelligence for High Energy Physics, World Scientific, 2022, ⟨10.1142/9789811234033_0004⟩
Chapitre d'ouvrage
hal-03159873v1
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Grid Analysis of Radiological DataMario Cannataro (Ed.). Handbook of Research on Computational Grid Technologies for Life Sciences, Biomedicine and Healthcare, IGI, pp.363-391, 2009, chapter 19, ⟨10.4018/978-1-60566-374-6.ch019⟩
Chapitre d'ouvrage
hal-00683992v1
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The Grid Observatory 3.0 - Towards reproducible research and open collaborations using semantic technologies2015
Autre publication scientifique
hal-01104235v1
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Learning to discover: the Higgs boson machine learning challengeAutre publication scientifique hal-01104487v1 |
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Efficient fault monitoring with Collaborative Prediction2012
Autre publication scientifique
hal-00758025v1
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Detector monitoring with artificial neural networks at the CMS experiment at the CERN Large Hadron Collider2019
Pré-publication, Document de travail
hal-01976256v1
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Discovering Linear Models of Grid Workload[Research Report] RR-7112, INRIA. 2009
Rapport
inria-00435561v1
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