Výsledky vyhledávání - "STÉPHAN, C."

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Multimodal Input Aids a Bayesian Model of Phonetic Learning

Autor: Zhi, Sophia, Levy, Roger P., Meylan, Stephan C.

One of the many tasks facing the typically-developing child language learner is learning to discriminate between the distinctive sounds that make up words in their native language. Here we investigate whether multimodal information--specifically adul

Externí odkaz: http://arxiv.org/abs/2407.15992

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High contrast at short separation with VLTI/GRAVITY: Bringing Gaia companions to light

Autor: Pourré, N., Winterhalder, T. O., Bouquin, J. -B. Le, Lacour, S., Bidot, A., Nowak, M., Maire, A. -L., Mouillet, D., Babusiaux, C., Woillez, J., Abuter, R., Amorim, A., Asensio-Torres, R., Balmer, W. O., Benisty, M., Berger, J. -P., Beust, H., Blunt, S., Boccaletti, A., Bonnefoy, M., Bonnet, H., Bordoni, M. S., Bourdarot, G., Brandner, W., Cantalloube, F., Caselli, P., Charnay, B., Chauvin, G., Chavez, A., Choquet, E., Christiaens, V., Clénet, Y., Foresto, V. Coudé du, Cridland, A., Davies, R., Defrère, D., Dembet, R., Dexter, J., Drescher, A., Duvert, G., Eckart, A., Eisenhauer, F., Schreiber, N. M. Föster, Garcia, P., Lopez, R. Garcia, Gendron, E., Genzel, R., Gillessen, S., Girard, J. H., Gonte, F., Grant, S., Haubois, X., Heißel, G., Henning, Th., Hinkley, S., Hippler, S., Hönig, S. F., Houllé, M., Hubert, Z., Jocou, L., Kammerer, J., Kenworthy, M., Keppler, M., Kervella, P., Kreidberg, L., Kurtovic, N. T., Lagrange, A. -M., Lapeyrère, V., Lutz, D., Mang, F., Marleau, G. -D., Mérand, A., Millour, F., Mollière, P., Monnier, J. D., Mordasini, C., Nasedkin, E., Oberti, S., Ott, T., Otten, G. P. L., Paladini, C., Paumard, T., Perraut, K., Perrin, G., Pfuhl, O., Pueyo, L., Ribeiro, D. C., Rickman, E., Rustamkulov, Z., Shangguan, J., Shimizu, T., Sing, D., Soulez, F., Stadler, J., Stolker, T., Straub, O., Straubmeier, C., Sturm, E., Sykes, C., Tacconi, L. J., van Dishoeck, E. F., Vigan, A., Vincent, F., von Fellenberg, S. D., Wang, J., Widmann, F., Yazici, S., Collaboration, the GRAVITY, Abad, J. A., Carpentier, E. Aller, Alonso, J., Andolfato, L., Barriga, P., Beuzit, J. -L., Bourget, P., Brast, R., Caniguante, L., Cottalorda, E., Darré, P., Delabre, B., Delboulbé, A., Delplancke-Ströbele, F., Donaldson, R., Dorn, R., Dupuy, C., Egner, S., Fischer, G., Frank, C., Fuenteseca, E., Gitton, P., Guerlet, T., Guieu, S., Gutierrez, P., Haguenauer, P., Haimerl, A., Heritier, C. T., Huber, S., Hubin, N., Jolley, P., Kirchbauer, J. -P., Kolb, J., Kosmalski, J., Krempl, P., Louarn, M. Le, Lilley, P., Lopez, B., Magnard, Y., Mclay, S., Meilland, A., Meister, A., Moulin, T., Pasquini, L., Paufique, J., Percheron, I., Pettazzi, L., Phan, D., Pirani, W., Quentin, J., Rakich, A., Ridings, R., Reyes, J., Rochat, S., Schmid, C., Schuhler, N., Shchekaturov, P., Seidel, M., Soenke, C., Stadler, E., Stephan, C., Suárez, M., Todorovic, M., Valdes, G., Verinaud, C., Zins, G., Zúñiga-Fernández, S., Collaboration, the NAOMI

Since 2019, GRAVITY has provided direct observations of giant planets and brown dwarfs at separations of down to 95 mas from the host star. Some of these observations have provided the first direct confirmation of companions previously detected by in

Externí odkaz: http://arxiv.org/abs/2406.04003

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Synthesis of separation processes with reinforcement learning

Autor: van Kalmthout, Stephan C. P. A., Midgley, Laurence I., Franke, Meik B.

This paper shows the implementation of reinforcement learning (RL) in commercial flowsheet simulator software (Aspen Plus V12) for designing and optimising a distillation sequence. The aim of the SAC agent was to separate a hydrocarbon mixture in its

Externí odkaz: http://arxiv.org/abs/2211.04327

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How Adults Understand What Young Children Say

Autor: Meylan, Stephan C., Foushee, Ruthe, Wong, Nicole H., Bergelson, Elika, Levy, Roger P.

Children's early speech often bears little resemblance to that of adults, and yet parents and other caregivers are able to interpret that speech and react accordingly. Here we investigate how these adult inferences as listeners reflect sophisticated

Externí odkaz: http://arxiv.org/abs/2206.07807

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Efficient optimization of a regional water elevation model with an automatically generated adjoint

Autor: Kärnä, Tuomas, Wallwork, Joseph G., Kramer, Stephan C.

Calibration of unknown model parameters is a common task in many ocean model applications. We present an adjoint-based optimization of an unstructured mesh shallow water model for the Baltic Sea. Spatially varying bottom friction parameter is tuned t

Externí odkaz: http://arxiv.org/abs/2205.01343

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