Zobrazeno 1 - 10
of 9 415
pro vyhledávání: '"Overman, A"'
Accurate estimation of treatment effects is essential for decision-making across various scientific fields. This task, however, becomes challenging in areas like social sciences and online marketplaces, where treating one experimental unit can influe
Externí odkaz:
http://arxiv.org/abs/2411.00945
Improved Regret Bound for Safe Reinforcement Learning via Tighter Cost Pessimism and Reward Optimism
This paper studies the safe reinforcement learning problem formulated as an episodic finite-horizon tabular constrained Markov decision process with an unknown transition kernel and stochastic reward and cost functions. We propose a model-based algor
Externí odkaz:
http://arxiv.org/abs/2410.10158
Automated feature engineering (AutoFE) is the process of automatically building and selecting new features that help improve downstream predictive performance. While traditional feature engineering requires significant domain expertise and time-consu
Externí odkaz:
http://arxiv.org/abs/2409.04665
Autor:
Arnquist, I., Avalos, N., Bailly, P., Baxter, D., Bertou, X., Bogdan, M., Bourgeois, C., Brandt, J., Cadiou, A., Castello-Mor, N., Chavarria, A. E., Conde, M., Cuevas-Zepeda, J., Dastgheibi-Fard, A., De Dominicis, C., Deligny, O., Desani, R., Dhellot, M., Duarte-Campderros, J., Estrada, E., Florin, D., Gadola, N., Gaior, R., Gkougkousis, E. -L., Sanchez, J. Gonzalez, Hope, S., Hossbach, T., Huehn, M., Kallander, M., Kilminster, B., Iddir, L., Lantero-Barreda, A., Lawson, I., Lebbolo, H., Lee, S., Leray, P., Selvon, A. Letessier, Lin, H., Loaiza, P., Lopez-Virto, A., Martin, D., McGuire, K. J., Milleto, T., Mitra, P., Martin, D. Moya, Munagavalasa, S., Norcini, D., Overman, C., Paul, S., Peterson, D., Piers, A., Pochon, O., Privitera, P., Reynet, D., Roach, B. A., Robmann, P., Roehnelt, R., Settimo, M., Smee, S., Smida, R., Stillwell, B., Van Wechel, T., Traina, M., Vilar, R., Vollhardt, A., Warot, G., Wolf, D., Yajur, R., Zopounidis, J-P.
The DArk Matter In CCDs at Modane (DAMIC-M) experiment is designed to search for light dark matter (m$_{\chi}$<10\,GeV/c$^2$) at the Laboratoire Souterrain de Modane (LSM) in France. DAMIC-M will use skipper charge-coupled devices (CCDs) as a kg-scal
Externí odkaz:
http://arxiv.org/abs/2407.17872
Autor:
Yvaine, M., Fairbank, D., Soderstrom, J., Taylor, C., Stanley, J., Walton, T., Chambers, C., Iverson, A., Fairbank, W., Kharusi, S. Al, Amy, A., Angelico, E., Anker, A., Arnquist, I. J., Atencio, A., Bane, J., Belov, V., Bernard, E. P., Bhatta, T., Bolotnikov, A., Breslin, J., Breur, P. A., Brodsky, J. P., Brown, E., Brunner, T., Caden, E., Cao, G. F., Cesmecioglu, D., Chambers, E., Chana, B., Chernyak, D., Chiu, M., Collister, R., Cvitan, M., Daniels, T., Darroch, L., DeVoe, R., di Vacri, M. L., Dolinski, M. J., Eckert, B., Elbeltagi, M., Elmansali, R., Fatemighomi, N., Foust, B., Fu, Y. S., Gallacher, D., Gallice, N., Giacomini, G., Gillis, W., Gingras, C., Gornea, R., Gratta, G., Hardy, C. A., Hedges, S., Hein, E., Holt, J. D., Hoppe, E. W., Karelin, A., Keblbeck, D., Kotov, I., Kuchenkov, A., Kumar, K. S., Kwiatkowski, A. A., Larson, A., Latif, M. B., Leach, K. G., Lennarz, A., Leonard, D. S., Lewis, H., Li, G., Li, Z., Licciardi, C., Lindsay, R., MacLellan, R., Majidi, S., Malbrunot, C., Masbou, J., McMichael, K., Peregrina, M. Medina, Moe, M., Mong, B., Moore, D. C., Natzke, C. R., Ngwadla, X. E., Ni, K., Nolan, A., Nowicki, S. C., Ondze, J. C. Nzobadila, Odian, A., Orrell, J. L., Ortega, G. S., Overman, C. T., Pagani, L., Smalley, H. Peltz, Perna, A., Pocar, A., Radeka, V., Raguzin, E., Rasiwala, H., Ray, D., Rescia, S., Richardson, G., Ross, R., Rowson, P. C., Saldanha, R., Sangiorgio, S., Schwartz, S., Sekula, S., Si, L., Soma, A. K., Spadoni, F., Stekhanov, V., Sun, X. L., Thibado, S., Tidball, A., Totev, T., Triambak, S., Tsang, T., Tyuka, O. A., van Bruggen, E., Vidal, M., Walent, M., Wamba, K., Wang, H. W., Wang, Q. D., Wang, W., Wang, Y. G., Watts, M., Wehrfritz, M., Wen, L. J., Wichoski, U., Wilde, S., Worcester, M., Xu, H., Yang, L., Yu, M., Zeldovich, O.
Neutrinoless double beta decay is one of the most sensitive probes for new physics beyond the Standard Model of particle physics. One of the isotopes under investigation is $^{136}$Xe, which would double beta decay into $^{136}$Ba. Detecting the sing
Externí odkaz:
http://arxiv.org/abs/2407.00285
AI model alignment is crucial due to inadvertent biases in training data and the underspecified machine learning pipeline, where models with excellent test metrics may not meet end-user requirements. While post-training alignment via human feedback s
Externí odkaz:
http://arxiv.org/abs/2406.18777
Autor:
nEXO Collaboration, Hedges, S., Kharusi, S. Al, Angelico, E., Brodsky, J. P., Richardson, G., Wilde, S., Amy, A., Anker, A., Arnquist, I. J., Arsenault, P., Atencio, A., Badhrees, I., Bane, J., Belov, V., Bernard, E. P., Bhatta, T., Bolotnikov, A., Breslin, J., Breur, P. A., Brown, E., Brunner, T., Caden, E., Cao, G. F., Cao, L. Q., Cesmecioglu, D., Chambers, E., Chana, B., Charlebois, S. A., Chernyak, D., Chiu, M., Collister, R., Cvitan, M., Dalmasson, J., Daniels, T., Darroch, L., DeVoe, R., di Vacri, M. L., Ding, Y. Y., Dolinski, M. J., Eckert, B., Elbeltagi, M., Elmansali, R., Fabris, L., Fairbank, W., Farine, J., Fatemighomi, N., Foust, B., Fu, Y. S., Gallacher, D., Gallice, N., Gillis, W., Goeldi, D., Gorham, A., Gornea, R., Gratta, G., Guan, Y. D., Hardy, C. A., Heffner, M., Hein, E., Holt, J. D., Hoppe, E. W., House, A., Hunt, W., Iverson, A., Kachru, P., Karelin, A., Keblbeck, D., Kuchenkov, A., Kumar, K. S., Larson, A., Latif, M. B., Leach, K. G., Lenardo, B. G., Leonard, D. S., Lewis, H., Li, G., Li, Z., Licciardi, C., Lindsay, R., MacLellan, R., Majidi, S., Malbrunot, C., Martel-Dion, P., Masbou, J., McMichael, K., Medina-Peregrina, M., Mong, B., Moore, D. C., Nattress, J., Natzke, C. R., Ngwadla, X. E., Ni, K., Nolan, A., Nowicki, S. C., Ondze, J. C. Nzobadila, Orrell, J. L., Ortega, G. S., Overman, C. T., Pagani, L., Smalley, H. Peltz, Perna, A., Piepke, A., Franco, T. Pinto, Pocar, A., Pratte, J. -F., Rasiwala, H., Ray, D., Raymond, K., Rescia, S., Riot, V., Ross, R., Saldanha, R., Sangiorgio, S., Schwartz, S., Sekula, S., Soderstrom, J., Soma, A. K., Spadoni, F., Sun, X. L., Thibado, S., Tidball, A., Totev, T., Triambak, S., Tsang, R. H. M., Tyuka, O. A., van Bruggen, E., Vidal, M., Viel, S., Walent, M., Wang, Q. D., Wang, W., Wang, Y. G., Watts, M., Wehrfritz, M., Wei, W., Wen, L. J., Wichoski, U., Wu, X. M., Xu, H., Yang, H. B., Yang, L., Yu, M., Yvaine, M., Zeldovich, O., Zhao, J.
Electron-neutrino charged-current interactions with xenon nuclei were modeled in the nEXO neutrinoless double-beta decay detector (~5-tonne, 90% ${}^{136}$Xe, 10% ${}^{134}$Xe) to evaluate its sensitivity to supernova neutrinos. Predictions for event
Externí odkaz:
http://arxiv.org/abs/2405.19419
Autor:
A. Sharma, V. Beura, D. Zhang, J. Darsell, S. Niverty, V. Prabhakaran, N. Overman, D.R. Herling, V. Joshi, K. Solanki
Publikováno v:
Journal of Magnesium and Alloys, Vol 12, Iss 9, Pp 3553-3573 (2024)
The increasing demand for high-strength, corrosion-resistant magnesium alloys in transportation has led to the development of new processing techniques. In this work, cast and extruded ZK60 magnesium alloys were processed using the innovative solid-p
Externí odkaz:
https://doaj.org/article/09a244cd359c4b359b68e089d708adc9
This paper studies a long-term resource allocation problem over multiple periods where each period requires a multi-stage decision-making process. We formulate the problem as an online allocation problem in an episodic finite-horizon constrained Mark
Externí odkaz:
http://arxiv.org/abs/2305.10744
Autor:
Tsang, R. H. M., Piepke, A., Kharusi, S. Al, Angelico, E., Arnquist, I. J., Atencio, A., Badhrees, I., Bane, J., Belov, V., Bernard, E. P., Bhat, A., Bhatta, T., Bolotnikov, A., Breur, P. A., Brodsky, J. P., Brown, E., Brunner, T., Caden, E., Cao, G. F., Cao, L. Q., Cesmecioglu, D., Chambers, C., Chambers, E., Chana, B., Charlebois, S. A., Chernyak, D., Chiu, M., Cleveland, B., Cohen, J. R., Collister, R., Cvitan, M., Dalmasson, J., Darroch, L., Deslandes, K., DeVoe, R., di Vacri, M. L., Ding, Y. Y., Dolinski, M. J., Echevers, J., Eckert, B., Elbeltagi, M., Elmansali, R., Fabris, L., Fairbank, W., Farine, J., Fu, Y. S., Gallacher, D., Gallina, G., Gautam, P., Giacomini, G., Gillis, W., Gingras, C., Goeldi, D., Gornea, R., Gratta, G., Guan, Y. D., Hardy, C. A., Hedges, S., Heffner, M., Hein, E., Holt, J., Hoppe, E. W., House, A., Hunt, W., Iverson, A., Jamil, A., Jiang, X. S., Karelin, A., Kaufman, L. J., Kotov, I., Krücken, R., Kuchenkov, A., Kumar, K. S., Larson, A., Leach, K. G., Lenardo, B. G., Leonard, D. S., Li, G., Li, S., Li, Z., Licciardi, C., Lindsay, R., MacLellan, R., Mahtab, M., Majidi, S., Malbrunot, C., Martel-Dion, P., Masbou, J., Massacret, N., McMichael, K., Mong, B., Moore, D. C., Murray, K., Nattress, J., Natzke, C. R., Ngwadla, X. E., Ni, K., Nolan, A., Nowicki, S. C., Ondze, J. C. Nzobadila, Orrell, J. L., Ortega, G. S., Overman, C. T., Peltz-Smalley, H., Perna, A., Franco, T. Pinto, Pocar, A., Pratte, J. -F., Radeka, V., Raguzin, E., Rasiwala, H., Ray, D., Rebeiro, B., Rescia, S., Retière, F., Richardson, G., Ringuette, J., Riot, V., Rowson, P. C., Roy, N., Rudolph, L., Saldanha, R., Sangiorgio, S., Schwartz, S., Soderstrom, J., Soma, A. K., Spadoni, F., Stekhanov, V., Sun, X. L., Barakoohi, E. Teimoori, Thibado, S., Tidball, A., Totev, T., Triambak, S., Tsang, T., Tyuka, O. A., Underwood, R., van Bruggen, E., Veeraraghavan, V., Vidal, M., Viel, S., Walent, M., Wamba, K., Wang, Q. D., Wang, W., Wang, Y. G., Watts, M., Wei, W., Wen, L. J., Wichoski, U., Wilde, S., Worcester, M., Wu, S., Wu, X. M., Yang, H., Yang, L., Yvaine, M., Zeldovich, O., Zhao, J., Ziegler, T.
Large-scale low-background detectors are increasingly used in rare-event searches as experimental collaborations push for enhanced sensitivity. However, building such detectors, in practice, creates an abundance of radioassay data especially during t
Externí odkaz:
http://arxiv.org/abs/2304.06180