Zobrazeno 1 - 10
of 13 799
pro vyhledávání: '"Granda A"'
Autor:
Dheeshjith, Surya, Subel, Adam, Adcroft, Alistair, Busecke, Julius, Fernandez-Granda, Carlos, Gupta, Shubham, Zanna, Laure
AI emulators for forecasting have emerged as powerful tools that can outperform conventional numerical predictions. The next frontier is to build emulators for long-term climate projections with robust skill across a wide range of spatiotemporal scal
Externí odkaz:
http://arxiv.org/abs/2412.03795
The advancement of novel combinatorial CRISPR screening technologies enables the identification of synergistic gene combinations on a large scale. This is crucial for developing novel and effective combination therapies, but the combinatorial space m
Externí odkaz:
http://arxiv.org/abs/2411.12010
Autor:
Gultekin, Cem, Subel, Adam, Zhang, Cheng, Leibovich, Matan, Perezhogin, Pavel, Adcroft, Alistair, Fernandez-Granda, Carlos, Zanna, Laure
Due to computational constraints, climate simulations cannot resolve a range of small-scale physical processes, which have a significant impact on the large-scale evolution of the climate system. Parameterization is an approach to capture the effect
Externí odkaz:
http://arxiv.org/abs/2411.06604
Autor:
Carralot, F., Carones, A., Krachmalnicoff, N., Ghigna, T., Novelli, A., Pagano, L., Piacentini, F., Baccigalupi, C., Adak, D., Anand, A., Aumont, J., Azzoni, S., Ballardini, M., Banday, A. J., Barreiro, R. B., Bartolo, N., Basak, S., Basyrov, A., Bersanelli, M., Bortolami, M., Brinckmann, T., Cacciotti, F., Campeti, P., Carinos, E., Casas, F. J., Cheung, K., Clermont, L., Columbro, F., Conenna, G., Coppi, G., Coppolecchia, A., Cuttaia, F., de Bernardis, P., De Lucia, M., Della Torre, S., Di Giorgi, E., Diego-Palazuelos, P., Essinger-Hileman, T., Ferreira, E., Finelli, F., Franceschet, C., Galloni, G., Galloway, M., Gervasi, M., Génova-Santos, R. T., Giardiello, S., Gimeno-Amo, C., Gjerløw, E., Gruppuso, A., Hazumi, M., Henrot-Versillé, S., Hergt, L. T., Hivon, E., Ishino, H., Jost, B., Kohri, K., Lamagna, L., Leloup, C., Lembo, M., Levrier, F., Lonappan, A. I., López-Caniego, M., Luzzi, G., Macias-Perez, J., Martínez-González, E., Masi, S., Matarrese, S., Matsumura, T., Micheli, S., Monelli, M., Montier, L., Morgante, G., Mot, B., Mousset, L., Nagano, Y., Nagata, R., Namikawa, T., Natoli, P., Obata, I., Occhiuzzi, A., Paiella, A., Paoletti, D., Pascual-Cisneros, G., Patanchon, G., Pavlidou, V., Pisano, G., Polenta, G., Porcelli, L., Puglisi, G., Raffuzzi, N., Remazeilles, M., Rubiño-Martín, J. A., Ruiz-Granda, M., Sanghavi, J., Scott, D., Shiraishi, M., Sullivan, R. M., Takase, Y., Tassis, K., Terenzi, L., Tomasi, M., Tristram, M., Vacher, L., van Tent, B., Vielva, P., Weymann-Despres, G., Wollack, E. J., Zannoni, M., Zhou, Y.
Future cosmic microwave background (CMB) experiments are primarily targeting a detection of the primordial $B$-mode polarisation. The faintness of this signal requires exquisite control of systematic effects which may bias the measurements. In this w
Externí odkaz:
http://arxiv.org/abs/2411.02080
Autor:
Yang, Qidong, Zhu, Weicheng, Keslin, Joseph, Zanna, Laure, Rudner, Tim G. J., Fernandez-Granda, Carlos
Probabilistic prediction of sequences from images and other high-dimensional data is a key challenge, particularly in risk-sensitive applications. In these settings, it is often desirable to quantify the uncertainty associated with the prediction (in
Externí odkaz:
http://arxiv.org/abs/2410.23272
Autor:
Witowski, Jan, Zeng, Ken, Cappadona, Joseph, Elayoubi, Jailan, Chiru, Elena Diana, Chan, Nancy, Kang, Young-Joon, Howard, Frederick, Ostrovnaya, Irina, Fernandez-Granda, Carlos, Schnabel, Freya, Ozerdem, Ugur, Liu, Kangning, Steinsnyder, Zoe, Thakore, Nitya, Sadic, Mohammad, Yeung, Frank, Liu, Elisa, Hill, Theodore, Swett, Benjamin, Rigau, Danielle, Clayburn, Andrew, Speirs, Valerie, Vetter, Marcus, Sojak, Lina, Soysal, Simone Muenst, Baumhoer, Daniel, Choucair, Khalil, Zong, Yu, Daoud, Lina, Saad, Anas, Abdulsattar, Waleed, Beydoun, Rafic, Pan, Jia-Wern, Makmur, Haslina, Teo, Soo-Hwang, Pak, Linda Ma, Angel, Victor, Zilenaite-Petrulaitiene, Dovile, Laurinavicius, Arvydas, Klar, Natalie, Piening, Brian D., Bifulco, Carlo, Jun, Sun-Young, Yi, Jae Pak, Lim, Su Hyun, Brufsky, Adam, Esteva, Francisco J., Pusztai, Lajos, LeCun, Yann, Geras, Krzysztof J.
Treatment selection in breast cancer is guided by molecular subtypes and clinical characteristics. Recurrence risk assessment plays a crucial role in personalizing treatment. Current methods, including genomic assays, have limited accuracy and clinic
Externí odkaz:
http://arxiv.org/abs/2410.21256
This paper considers the problem of designing motion planning algorithms for control-affine systems that generate collision-free paths from an initial to a final destination and can be executed using safe and dynamically-feasible controllers. We intr
Externí odkaz:
http://arxiv.org/abs/2410.08364
Autor:
Takase, Y., Vacher, L., Ishino, H., Patanchon, G., Montier, L., Stever, S. L., Ishizaka, K., Nagano, Y., Wang, W., Aumont, J., Aizawa, K., Anand, A., Baccigalupi, C., Ballardini, M., Banday, A. J., Barreiro, R. B., Bartolo, N., Basak, S., Bersanelli, M., Bortolami, M., Brinckmann, T., Calabrese, E., Campeti, P., Carinos, E., Carones, A., Casas, F. J., Cheung, K., Clermont, L., Columbro, F., Coppolecchia, A., Cuttaia, F., de Bernardis, P., de Haan, T., de la Hoz, E., Della Torre, S., Diego-Palazuelos, P., D'Alessandro, G., Eriksen, H. K., Errard, J., Finelli, F., Fuskeland, U., Galloni, G., Galloway, M., Gervasi, M., Ghigna, T., Giardiello, S., Gimeno-Amo, C., Gjerløw, E., González, R. González, Gruppuso, A., Hazumi, M., Henrot-Versillé, S., Hergt, L. T., Ikuma, K., Kohri, K., Lamagna, L., Lattanzi, M., Leloup, C., Lembo, M., Levrier, F., Lonappan, A. I., López-Caniego, M., Luzzi, G., Maffei, B., Martínez-González, E., Masi, S., Matarrese, S., Matsuda, F. T., Matsumura, T., Micheli, S., Migliaccio, M., Monelli, M., Morgante, G., Mot, B., Nagata, R., Namikawa, T., Novelli, A., Odagiri, K., Oguri, S., Omae, R., Pagano, L., Paoletti, D., Piacentini, F., Pinchera, M., Polenta, G., Porcelli, L., Raffuzzi, N., Remazeilles, M., Ritacco, A., Ruiz-Granda, M., Sakurai, Y., Scott, D., Sekimoto, Y., Shiraishi, M., Signorelli, G., Sullivan, R. M., Takakura, H., Terenzi, L., Tomasi, M., Tristram, M., van Tent, B., Vielva, P., Wehus, I. K., Westbrook, B., Weymann-Despres, G., Wollack, E. J., Zannoni, M., Zhou, Y.
Large angular scale surveys in the absence of atmosphere are essential for measuring the primordial $B$-mode power spectrum of the Cosmic Microwave Background (CMB). Since this proposed measurement is about three to four orders of magnitude fainter t
Externí odkaz:
http://arxiv.org/abs/2408.03040
Autor:
Crozier, Peter A., Leibovich, Matan, Haluai, Piyush, Tan, Mai, Thomas, Andrew M., Vincent, Joshua, Mohan, Sreyas, Morales, Adria Marcos, Kulkarni, Shreyas A., Matteson, David S., Wang, Yifan, Fernandez-Granda, Carlos
Nanoparticle surface structural dynamics is believed to play a significant role in regulating functionalities such as diffusion, reactivity, and catalysis but the atomic-level processes are not well understood. Atomic resolution characterization of n
Externí odkaz:
http://arxiv.org/abs/2407.17669
Autor:
Remazeilles, M., Douspis, M., Rubiño-Martín, J. A., Banday, A. J., Chluba, J., de Bernardis, P., De Petris, M., Hernández-Monteagudo, C., Luzzi, G., Macias-Perez, J., Masi, S., Namikawa, T., Salvati, L., Tanimura, H., Aizawa, K., Anand, A., Aumont, J., Baccigalupi, C., Ballardini, M., Barreiro, R. B., Bartolo, N., Basak, S., Bersanelli, M., Blinov, D., Bortolami, M., Brinckmann, T., Calabrese, E., Campeti, P., Carinos, E., Carones, A., Casas, F. J., Cheung, K., Clermont, L., Columbro, F., Coppolecchia, A., Cuttaia, F., de Haan, T., de la Hoz, E., Della Torre, S., Diego-Palazuelos, P., D'Alessandro, G., Eriksen, H. K., Finelli, F., Fuskeland, U., Galloni, G., Galloway, M., Gervasi, M., Génova-Santos, R. T., Ghigna, T., Giardiello, S., Gimeno-Amo, C., Gjerløw, E., González, R. González, Gruppuso, A., Hazumi, M., Henrot-Versillé, S., Hergt, L. T., Herranz, D., Kohri, K., Komatsu, E., Lamagna, L., Lattanzi, M., Leloup, C., Levrier, F., Lonappan, A. I., López-Caniego, M., Maffei, B., Martínez-González, E., Matarrese, S., Matsumura, T., Micheli, S., Migliaccio, M., Monelli, M., Montier, L., Morgante, G., Nagano, Y., Nagata, R., Novelli, A., Omae, R., Pagano, L., Paoletti, D., Pavlidou, V., Piacentini, F., Pinchera, M., Polenta, G., Porcelli, L., Ritacco, A., Ruiz-Granda, M., Sakurai, Y., Scott, D., Shiraishi, M., Stever, S. L., Sullivan, R. M., Takase, Y., Tassis, K., Terenzi, L., Tomasi, M., Tristram, M., Vacher, L., van Tent, B., Vielva, P., Wehus, I. K., Westbrook, B., Weymann-Despres, G., Wollack, E. J., Zannoni, M., Zhou, Y.
We assess the capabilities of the LiteBIRD mission to map the hot gas distribution in the Universe through the thermal Sunyaev-Zeldovich (SZ) effect. Our analysis relies on comprehensive simulations incorporating various sources of Galactic and extra
Externí odkaz:
http://arxiv.org/abs/2407.17555