Category: Focus on

Focus on a joint research project: GOAL

GOAL (2015-2017) Geometry and Optimization with ALgebraic methods Principal Investigators:  Jean-charles Faugere, POLSYS project team, Inria Paris Bernd Sturmfels, U.C. Berkeley Research objectives: GOAL develops algorithms and mathematical tools to solve geometric and optimization problems through algebraic techniques. The long-term objective is to develop new software to solve more efficiently these problems. These objectives encompass: identifying instances of these …

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Focus on a joint research project: DECIBEL

  DECIBEL (Since 2016) Discover, Express, Create – Interaction Technologies For Creative Collaboration   Principal Investigators:  Wendy Mackay, ExSitu  project team, Inria Saclay research center Bjoern Hartmann, CITRIS, UC Berkeley Research objectives: Members of the DeciBel team focused on three key research objectives: Research collaborations with artists who push the limits of interactive technology to offer new insights into the design of interactive …

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Focus on a joint research project: GeomStats

GeomStats (Since 2015)  Geometric Statistics in Computational Anatomy: Non-linear Subspace Learning Beyond the Riemannian Structure   Principal Investigators:  Xavier Pennec, EPIONE project team (formerly ASCLEPIOS), Inria Sophia Antipolis research center Susan Holmes, Stanford University, Department of Statistics Research objectives: The scientific goal of the associated team is to develop the field of geometric statistics with key applications in computational anatomy, …

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Focus on a joint research project: Meta&Co (formerly MetaMRI)

  Meta&Co (Since 2015)  Machine learning for meta-analysis of functional neuroimaging data*   *formerly MetaMRI (from 2015 to 2017): Machine learning for meta-analysis of functional neuroimaging data  Principal Investigators:  Bertrand Thirion, PARIETAL project team, Inria Saclay Ile- de-France research center Russ Poldrack, Stanford University, Psychology department Research objectives: Meta&Co (since 2018) is an associate team that is …

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Focus on a joint research project: NUM4SEP

  NUM4SEP (Since 2017) Numerics for Spherical Electroporation  Principal Investigators:  Clair Poignard, MONC project-team, Inria Bordeaux – Sud-Ouest Research Centre Frederic Gibou, Dpt of Mechanical Eng., U.C. Santa Barbara Research objectives: The goal of NUM4SEP is to provide a link between the quite well-understood cell electroporation and the tumor-like multicellular spheroid models. The distribution of the electric field in tumors as …

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Focus on a joint research project: LEGO

  LEGO (Since 2016) LEarning GOod representations for natural language processing     Principal Investigators:  Aurélien Bellet, MAGNET project-team, Inria Lille Fei Sha, University of Southern California, Dpt of Computer Science (formerly with TEDS,UCLA) Research objectives: LEGO lies in the intersection of Machine Learning and Natural Language Processing (NLP). Its goal is to address the following challenges: what are the …

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Focus on a joint research project: LargeBrainNets

LargeBrainNets (Since 2016) Characterizing Large-scale Brain Networks Using Novel Computational Methods for dMRI and fMRI-based Connectivity Principal Investigators:  Demian Wassermann, PARIETAL project-team, Inria Saclay (formerly ATHENA project team, Inria Sophia Antipolis) Vinod Menon,  Stanford Cognitive and Systems Neuroscience Laboratory Research objectives: The major goal of this project is to develop and validate sophisticated computational tools for identifying …

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Focus on a joint research project: STATWEB

STATWEB (2011-13) Fast statistical analysis of web data via sparse learning   Principal Investigators:  Dr. Francis Bach, SIERRA project-team, Inria Paris Rocquencourt Prof. Laurent El Ghaoui, University of California Berkeley Research objectives: STATWEB aims to provide web-based tools for the analysis and visualization of large corpora of text documents, with a focus on databases of …

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Focus on a joint research project: SPLENDID

SPLENDID (2012-2014) Self-paced learning for exploiting noisy, diverse or incomplete data   Principal Investigators:  Dr. Nikos Paragios, GALEN project-team, Inria Saclay Île-de-France Prof. Daphne Koller, Stanford University Research objectives: Supervised learning requires that all the samples in the training dataset are fully annotated. In many cases, the collection of such datasets is either impossible to obtain …

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Focus on a joint research project: SNOWFLAKE

SNOWFLAKE (Since 2014)  Knowledge discovery from linked data and clinical notes*  *renewed since 2017 as SNOWBALL: Discovering knowledge on drug response variablity by mining electronic health records Principal Investigators:  Dr. Adrien Coulet, ORPAILLEUR project-team, Nancy Grand Est Dr. Nigam Shah, Stanford Center for Biomedical Informatics Research, Stanford University Research objectives: The aim of SNOWFLAKE is to study the …

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