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11,515 research outcomes, page 1 of 1,152
  • publication . Conference object . Preprint . 2022
    Open Access
    Authors:
    Collaboration, Hyper-Kamiokande; Abe, K.; Adrich, P.; Aihara, H.; Akutsu, R.; Alekseev, I.; Ali, A.; Ameli, F.; Anthony, L. H. V.; Araya, A.; ...

    Comment: 6 pages, prepared as Snowmass2021 LOI

  • publication . Article . Preprint . 2021
    Open Access English
    Authors:
    Avilés-Félix, L.; Farcis, L.; Jin, Z.; Álvaro-Gómez, L.; Li, G.; Yamada, K.; Kirilyuk, A.; Kimel, A.; Rasing, Th.; Dieny, B.; ...
    Persistent Identifiers
    Publisher: HAL CCSD
    Project: EC | SPICE (713481)

    Comment: 9 pages, 4 figures

    Add to ORCIDorcid
  • publication . Preprint . Article . 2021
    Open Access English
    Authors:
    Alqabandi, Maryam; de Franceschi, Nicola; Miguet, Nolwenn; Maity, Sourav; Bally, Marta; Roos, Wouter H.; Weissenhorn, Winfried; Bassereau, Patricia; Mangenot, Stéphanie;
    Publisher: Cold Spring Harbor Laboratory
    Project: ANR | ESCRTfission (ANR-14-CE09-0003), EC | INTERACT (751404), EC | ESCRT model (751715), ANR | PSL (ANR-10-IDEX-0001), ANR | CBH-EUR-GS (ANR-17-EURE-0003)

    Abstract Background ESCRT-III proteins are involved in many membrane remodeling processes including multivesicular body biogenesis as first discovered in yeast. In humans, ESCRT-III CHMP2 exists as two isoforms, CHMP2A and CHMP2B, but their physical characteristics have...

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  • publication . Preprint . Article . 2021
    Open Access English
    Authors:
    Vizzaccaro, Alessandra; Shen, Yichang; SALLES, Loïc; Blahoš, Jiří; Touzé, Cyril;
    Project: UKRI | Cornerstone: Mechanical E... (EP/R004951/1), EC | EXPERTISE (721865)

    The direct computation of the third-order normal form for a geometrically nonlinear structure discretised with the finite element (FE) method, is detailed. The procedure allows to define a nonlinear mapping in order to derive accurate reduced-order models (ROM) relying ...

  • publication . Preprint . Conference object . 2021
    Open Access English
    Authors:
    Tajini, Badr; Richard, Hugo; Thirion, Bertrand;

    Advances in computational cognitive neuroimaging research are related to the availability of large amounts of labeled brain imaging data, but such data are scarce and expensive to generate. While powerful data generation mechanisms, such as Generative Adversarial Networ...

  • publication . Conference object . Preprint . 2021
    Open Access English
    Authors:
    Dufumier, Benoit; Gori, Pietro; Victor, Julie; Grigis, Antoine; Wessa, Michel; Brambilla, Paolo; Favre, Pauline; Polosan, Mircea; McDonald, Colm; Piguet, Camille,; ...
    Publisher: HAL CCSD

    Traditional supervised learning with deep neural networks requires a tremendous amount of labelled data to converge to a good solution. For 3D medical images, it is often impractical to build a large homogeneous annotated dataset for a specific pathology. Self-supervise...

  • publication . Conference object . Article . Preprint . 2021
    Open Access English
    Authors:
    Arnaud Grivet Sébert; Rafaël Pinot; Martin Zuber; Cédric Gouy-Pailler; Renaud Sirdey;
    Persistent Identifiers
    Publisher: HAL CCSD

    We introduce a deep learning framework able to deal with strong privacy constraints. Based on collaborative learning, differential privacy and homomorphic encryption, the proposed approach advances state-of-the-art of private deep learning against a wider range of threa...

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  • publication . Preprint . Conference object . 2021
    Open Access English
    Authors:
    Louiset, Robin; Gori, Pietro; Dufumier, Benoit; Houenou, Josselin; Grigis, Antoine; Duchesnay, Edouard;

    Comment: ECML/PKDD 2021

  • publication . Part of book or chapter of book . Preprint . 2021
    Open Access English
    Authors:
    LE CACHEUX, Yannick; LE BORGNE, Hervé; CRUCIANU, Michel;
    Publisher: HAL CCSD

    International audience; Zero-shot learning deals with the ability to recognize objects without any visual training sample. To counterbalance this lack of visual data, each class to recognize is associated with a semantic prototype that reflects the essential features of...

  • publication . Research . Preprint . 2021
    Open Access
    Authors:
    Zaccharie Ramzi; Florian Mannel; Shaojie Bai; Jean-Luc Starck; Philippe Ciuciu; Thomas Moreau;

    In recent years, implicit deep learning has emerged as a method to increase the depth of deep neural networks. While their training is memory-efficient, they are still significantly slower to train than their explicit counterparts. In Deep Equilibrium Models (DEQs), the...

11,515 research outcomes, page 1 of 1,152