Zobrazeno 1 - 10
of 29 046
pro vyhledávání: '"Khatri, A."'
Autor:
Gon, Aritra Kumar, Khatri, Rishi
We present and study a new cross-pairwise estimator to extract the kinetic Sunyaev Zeldovich (kSZ) signal from galaxy clusters. The existing pairwise kSZ method involves pairing clusters with other clusters and stacking them. In the cross-pairwise me
Externí odkaz:
http://arxiv.org/abs/2407.19915
We compute the spectral distortions of the Cosmic Microwave Background (CMB) created by an exotic process that extracts or injects photons of a particular frequency into the CMB. Such signatures are a natural prediction of a class of composite dark m
Externí odkaz:
http://arxiv.org/abs/2407.14480
First-principles calculations are combined with a statistical-mechanical model to predict the equilibrium point-defect concentrations in the refractory carbides TaC and HfC as a function of temperature and chemical composition. Several different type
Externí odkaz:
http://arxiv.org/abs/2407.05152
Autor:
Buturovic, Ljubomir, Mayhew, Michael, Luethy, Roland, Choi, Kirindi, Midic, Uros, Damaraju, Nandita, Hasin-Brumshtein, Yehudit, Pratap, Amitesh, Adams, Rhys M., Fonseca, Joao, Srinath, Ambika, Fleming, Paul, Pereira, Claudia, Liesenfeld, Oliver, Khatri, Purvesh, Sweeney, Timothy
We applied machine learning to the unmet medical need of rapid and accurate diagnosis and prognosis of acute infections and sepsis in emergency departments. Our solution consists of a Myrna (TM) Instrument and embedded TriVerity (TM) classifiers. The
Externí odkaz:
http://arxiv.org/abs/2407.02737
We introduce a category-theoretic diagrammatic formalism in order to systematically relate and reason about machine learning models. Our diagrams present architectures intuitively but without loss of essential detail, where natural relationships betw
Externí odkaz:
http://arxiv.org/abs/2407.02423
Autor:
Berghold, M., Orsucci, D., Guatieri, F., Alfaro, S., Auzins, M., Bergmann, B., Burian, P., Brusa, R. S., Camper, A., Caravita, R., Castelli, F., Cerchiari, G., Ciuryło, R., Chehaimi, A., Consolati, G., Doser, M., Eliaszuk, K., Ferguson, R., Germann, M., Giszczak, A., Glöggler, L. T., Graczykowski, Ł., Grosbart, M., Gusakova, N., Gustafsson, F., Haider, S., Huck, S., Hugenschmidt, C., Janik, M. A., Januszek, T., Kasprowicz, G., Kempny, K., Khatri, G., Kłosowski, Ł., Kornakov, G., Krumins, V., Lappo, L., Linek, A., Mariazzi, S., Moskal, P., Nowicka, D., Pandey, P., Pęcak, D., Penasa, L., Petracek, V., Piwiński, M., Pospisil, S., Povolo, L., Prelz, F., Rangwala, S. A., Rauschendorfer, T., Rawat, B. S., Rienäcker, B., Rodin, V., Røhne, O. M., Sandaker, H., Sharma, S., Smolyanskiy, P., Sowiński, T., Tefelski, D., Vafeiadis, T., Volponi, M., Welsch, C. P., Zawada, M., Zielinski, J., Zurlo, N.
The primary goal of the AEgIS experiment is to precisely measure the free fall of antihydrogen within Earth's gravitational field. To this end, a cold ~50K antihydrogen beam has to pass through two grids forming a moir\'e deflectometer before annihil
Externí odkaz:
http://arxiv.org/abs/2406.16044
Progress in the realisation of reliable large-scale quantum computers has motivated research into the design of quantum machine learning models. We present Quixer: a novel quantum transformer model which utilises the Linear Combination of Unitaries a
Externí odkaz:
http://arxiv.org/abs/2406.04305
Among recent insights into learning quantum states, online learning and shadow tomography procedures are notable for their ability to accurately predict expectation values even of adaptively chosen observables. In contrast to the state case, quantum
Externí odkaz:
http://arxiv.org/abs/2406.04250
Autor:
Sundaram, Sowmya S., Solomon, Benjamin, Khatri, Avani, Laumas, Anisha, Khatri, Purvesh, Musen, Mark A.
Metadata play a crucial role in ensuring the findability, accessibility, interoperability, and reusability of datasets. This paper investigates the potential of large language models (LLMs), specifically GPT-4, to improve adherence to metadata standa
Externí odkaz:
http://arxiv.org/abs/2404.05893
In the present work, we study a cosmological model composed of a viscous dark matter interacting with decaying vacuum energy in a spatially flat Universe. In the first part, we find the analytical solution of different cosmological parameters by assu
Externí odkaz:
http://arxiv.org/abs/2405.15296