Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Cornebise, P."'
Autor:
Small, Christopher T., Vendrov, Ivan, Durmus, Esin, Homaei, Hadjar, Barry, Elizabeth, Cornebise, Julien, Suzman, Ted, Ganguli, Deep, Megill, Colin
Polis is a platform that leverages machine intelligence to scale up deliberative processes. In this paper, we explore the opportunities and risks associated with applying Large Language Models (LLMs) towards challenges with facilitating, moderating a
Externí odkaz:
http://arxiv.org/abs/2306.11932
Analyzing the planet at scale with satellite imagery and machine learning is a dream that has been constantly hindered by the cost of difficult-to-access highly-representative high-resolution imagery. To remediate this, we introduce here the WorldStr
Externí odkaz:
http://arxiv.org/abs/2207.06418
Autor:
Laktineh, I., Liu, B., Boumediene, D., Baek, Y. W., Kim, D-W., Lee, S. C., Min, B. G., Park, S. W., Deguchi, Y., Kawagoe, K., Miura, Y., Mori, R., Sekiya, I., Suehara, T., Yoshioka, T., Caponetto, L., Combaret, C., Garillot, G., Grenier, G., Ianigro, J-C., Kurca, T., Li, B., Lumb, N., Mathez, H., Mirabito, L., Steen, A., Alamillo, E. Calvo, Carrillo, C., Fouz, M. C., Cabrera, H. Garcia, Marin, J., Navarrete, J., Pelayo, J. Puerta, Verdugo, A., Corriveau, F., Emberger, L., Graf, C., de Silva, L. M. S, Simon, F., Winter, C., Bonis, J., Breton, D., Cornebise, P., Gallas, A., Jeglot, J., Irles, A., Maalmi, J., schl, R. P, Thiebault, A., Richard, F., Zerwas, D., Cvach, J., Janata, M., Kovalcuk, M., Kvasnicka, J., Polak, I., Smolik, J., Vrba, V., Zalesak, J., Zuklin, J., Duan, Y. Y., Li, S., Guo, J., Hu, J. F., Lagarde, F., Shen, Q. P., Wang, X., Wu, W. H., Yang, H. J., Zhu, Y. F.
The CALICE Semi-Digital Hadronic CALorimeter (SDHCAL) is the first technological prototype in a family of high-granularity calorimeters developed by the CALICE Collaboration to equip the experiments of future lepton colliders. The SDHCAL is a samplin
Externí odkaz:
http://arxiv.org/abs/2202.09684
Autor:
Boumediene, D., Pingault, A., Tytgat, M., Bilki, B., Northacker, D., Onel, Y., Cho, G., Kim, D-W., Lee, S. C., Park, W., Vallecorsa, S., Deguchi, Y., Kawagoe, K., Miura, Y., Mori, R., Sekiya, I., Suehara, T., Yoshioka, T., Caponetto, L., Combaret, C., Garillot, R. Ete G., Grenier, G., Ianigro, J-C., Kurca, T., Laktineh, I., Liu, B., Li, B., Lumb, N., Mathez, H., Mirabito, L., Steen, A., Alamillo, E. Calvo, Fouz, M. C., Marin, J., Navarrete, J., Pelayo, J. Puerta, Verdugo, A., Corriveau, F., Freund, B., Chadeeva, M., Danilov, M., Emberger, L., Graf, C., Simon, F., Winter, C., Bonis, J., Breton, D., Cornebise, P., Gallas, A., Jeglot, J., Irles, A., Maalmi, J., Pöschl, R., Thiebault, A., Richard, F., Zerwas, D., Anduze, M., Balagura, V., Boudry, V., Brient, J-C., Edy, E., Gastaldi, F., Guillaumat, R., Magniette, F., Nanni, J., Callier, H. Videau S., Dulucq, F., de la Taille, Ch., Martin-Chassard, G., Raux, L., Seguin-Moreau, N., Cvach, J., Janata, M., Kovalcuk, M., Kvasnicka, J., Polak, I., Smolik, J., Vrba, V., Zalesak, J., Zuklin, J., Duan, Y. Y., Li, S., Guo, J., Hu, J. F., Lagarde, F., Shen, Q. P., Wang, X., Wu, W. H., Yang, H. J., Zhu, Y. F.
The CALICE Semi-Digital Hadronic CALorimeter (SDHCAL) prototype using Glass Resistive Plate Chambers as a sensitive medium is the first technological prototype of a family of high-granularity calorimeters developed by the CALICE collaboration to equi
Externí odkaz:
http://arxiv.org/abs/2004.02972
Autor:
Kermode, Lachlan, Freyberg, Jan, Akturk, Alican, Trafford, Robert, Kochetkov, Denis, Pardinas, Rafael, Weizman, Eyal, Cornebise, Julien
We introduce a machine learning workflow to search for, identify, and meaningfully triage videos and images of munitions, weapons, and military equipment, even when limited training data exists for the object of interest. This workflow is designed to
Externí odkaz:
http://arxiv.org/abs/2004.01030
Autor:
Deudon, Michel, Kalaitzis, Alfredo, Goytom, Israel, Arefin, Md Rifat, Lin, Zhichao, Sankaran, Kris, Michalski, Vincent, Kahou, Samira E., Cornebise, Julien, Bengio, Yoshua
Generative deep learning has sparked a new wave of Super-Resolution (SR) algorithms that enhance single images with impressive aesthetic results, albeit with imaginary details. Multi-frame Super-Resolution (MFSR) offers a more grounded approach to th
Externí odkaz:
http://arxiv.org/abs/2002.06460
Autor:
Boquet, Thomas, Delisle, Laure, Kochetkov, Denis, Schucher, Nathan, Atighehchian, Parmida, Oreshkin, Boris, Cornebise, Julien
Reproducible research in Machine Learning has seen a salutary abundance of progress lately: workflows, transparency, and statistical analysis of validation and test performance. We build on these efforts and take them further. We offer a principled e
Externí odkaz:
http://arxiv.org/abs/1909.09859
Autor:
CALICE Collaboration, Eigen, G., Price, T., Watson, N. K., Winter, A., Do, Y., Khan, A., Kim, D., Blazey, G. C., Dyshkant, A., Francis, K., Zutshi, V., Kawagoe, K., Miura, Y., Mori, R., Sekiya, I., Suehara, T., Yoshioka, T., Apostolakis, J., Giraud, J., Grondin, D., Hostachy, J. -Y., Bach, O., Bocharnikov, V., Brianne, E., Gadow, K., Göttlicher, P., Hartbrich, O., Heuchel, D., Krivan, F., Krüger, K., Kvasnicka, J., Lu, S., Pinto, O., Provenza, A., Reinecke, M., Sefkow, F., Schuwalow, S., Sudo, Y., Tran, H. L., Buhmann, P., Garutti, E., Laurien, S., Lomidze, D., Matysek, M., Wilson, G. W., Belver, D., Alamillo, E. Calvo, Fouz, M. C., Cabrerai, H. García, Maríni, J., Navarrete, J., Pelayo, J. Puerta, Verdugo, A., Masetti, L., Chadeeva, M., Danilov, M., Gabriel, M., Emberger, L., Graf, C., Israeli, Y., Simon, F., Szalay, M., Windel, H., Amjad, M. S., Bilokin, S., Bonis, J., Breton, D., Cornebise, P., Doublet, P., Gallas, A., Jeglot, J., Irles, A., Li, H., Maalmi, J., Pöschl, R., Thiebault, A., Richard, F., Zerwas, D., Anduze, M., Balagura, V., Becheva, E., Boudry, V., Brient, J-C., Cornat, R., Edy, E., Fayolle, G., Gastaldi, F., Videau, H., Callier, S., Dulucq, F., de la Taille, Ch., Martin-Chassard, G., Raux, L., Seguin-Moreau, N., Cvach, J., Janata, M., Kovalcuk, M., Polak, I., Smolik, J., Vrba, V., Zalesak, J., Zuklin, J., Jeans, D., van der Kolk, N., Peitzmann, T.
Publikováno v:
Nucl.Instrum.Meth. A937 (2019) 41-52
A detailed investigation of hadronic interactions is performed using $\pi^-$-mesons with energies in the range 2--10 GeV incident on a high granularity silicon-tungsten electromagnetic calorimeter. The data were recorded at FNAL in 2008. The region i
Externí odkaz:
http://arxiv.org/abs/1902.06161
Autor:
Delisle, Laure, Kalaitzis, Alfredo, Majewski, Krzysztof, de Berker, Archy, Marin, Milena, Cornebise, Julien
We report the first, to the best of our knowledge, hand-in-hand collaboration between human rights activists and machine learners, leveraging crowd-sourcing to study online abuse against women on Twitter. On a technical front, we carefully curate an
Externí odkaz:
http://arxiv.org/abs/1902.03093
Autor:
Kawagoe, K., Miura, Y., Sekiya, I., Suehara, T., Yoshioka, T., Bilokin, S., Bonis, J., Cornebise, P., Gallas, A., Irles, A., Pöschl, R., Richard, F., Thiebault, A., Zerwas, D., Anduze, M., Balagura, V., Boudry, V., Brient, J-C., Edy, E., Fayolle, G., Frotin, M., Gastaldi, F., Guillaumat, R., Lobanov, A., Louzir, M., Magniette, F., Nanni, J., Rubio-Roy, M., Shpak, K., Videau, H., Yu, D., Callier, S., Dulucq, F., de la Taille, Ch., Seguin-Moreau, N., Augustin, J. E., Cornat, R., David, J., Ghislain, P., Lacour, D., Lavergne, L., Parraud, J. M., Chai, J. S., h, D. Jeans
The technological prototype of the CALICE highly granular silicon-tungsten electromagnetic calorimeter (SiW-ECAL) was tested in a beam at DESY in 2017. The setup comprised seven layers of silicon sensors. Each layer comprised four sensors, with each
Externí odkaz:
http://arxiv.org/abs/1902.00110