Search Results for author: C. Gay

Found 2 papers, 1 papers with code

The Machine Learning Landscape of Top Taggers

8 code implementations26 Feb 2019 G. Kasieczka, T. Plehn, A. Butter, D. Debnath, M. Fairbairn, W. Fedorko, C. Gay, L. Gouskos, P. T. Komiske, S. Leiss, A. Lister, S. Macaluso, E. M. Metodiev, L. Moore, B. Nachman, K. Nordstrom, J. Pearkes, H. Qu, Y. Rath, M. Riegler, D. Shih, J. M. Thompson, S. Varma

Based on the established task of identifying boosted, hadronically decaying top quarks, we compare a wide range of modern machine learning approaches.

High Energy Physics - Phenomenology

A migrating epithelial monolayer flows like a Maxwell viscoelastic liquid

no code implementations12 Nov 2018 S. Tlili, M. Durande, C. Gay, B. Ladoux, F. Graner, H. Delanoë-Ayari

We perform a bidimensional Stokes experiment in an active cellular material: an autonomously migrating monolayer of Madin-Darby Canine Kidney (MDCK) epithelial cells flows around a circular obstacle within a long and narrow channel, involving an interplay between cell shape changes and neighbour rearrangements.

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