Zobrazeno 1 - 10
of 8 608
pro vyhledávání: '"LUCCHESE, A."'
Autor:
Daroya, Rangel, Lucchese, Luisa Vieira, Simmons, Travis, Prum, Punwath, Pavelsky, Tamlin, Gardner, John, Gleason, Colin J., Maji, Subhransu
Many remote sensing applications employ masking of pixels in satellite imagery for subsequent measurements. For example, estimating water quality variables, such as Suspended Sediment Concentration (SSC) requires isolating pixels depicting water bodi
Externí odkaz:
http://arxiv.org/abs/2412.08545
Autor:
Howard, Andrew J., Britton, M., Streeter, Zachary L., Cheng, Chuan, Lucchese, Robert R., McCurdy, C. William, Bucksbaum, Philip H.
Semi-heavy water (HOD) is one of the simplest molecules in which the bonds are labelled by isotope. We demonstrate that a pair of intense few-femtosecond infrared laser pulses can be used to selectively tunnel ionize along one of the two bonds. The f
Externí odkaz:
http://arxiv.org/abs/2408.09056
Autor:
Busolin, Francesco, Lucchese, Claudio, Nardini, Franco Maria, Orlando, Salvatore, Perego, Raffaele, Trani, Salvatore
Learned dense representations are a popular family of techniques for encoding queries and documents using high-dimensional embeddings, which enable retrieval by performing approximate k nearest-neighbors search (A-kNN). A popular technique for making
Externí odkaz:
http://arxiv.org/abs/2408.04981
A critical piece of the modern information retrieval puzzle is approximate nearest neighbor search. Its objective is to return a set of $k$ data points that are closest to a query point, with its accuracy measured by the proportion of exact nearest n
Externí odkaz:
http://arxiv.org/abs/2404.11731
Autor:
Ji, Jia-Bao, Guo, Zhaoheng, Driver, Taran, Trevisan, Cynthia S., Cesar, David, Cheng, Xinxin, Duris, Joseph, Franz, Paris L., Glownia, James, Gong, Xiaochun, Hammerland, Daniel, Han, Meng, Heck, Saijoscha, Hoffmann, Matthias, Kamalov, Andrei, Larsen, Kirk A., Li, Xiang, Lin, Ming-Fu, Liu, Yuchen, McCurdy, C. William, Obaid, Razib, ONeal, Jordan T., Rescigno, Thomas N., Robles, River R., Sudar, Nicholas, Walter, Peter, Wang, Anna L., Wang, Jun, Wolf, Thomas J. A., Zhang, Zhen, Ueda, Kiyoshi, Lucchese, Robert R., Marinelli, Agostino, Cryan, James P., Wörner, Hans Jakob
Attosecond photoemission or photoionization delays are a unique probe of the structure and the electronic dynamics of matter. However, spectral congestion and spatial delocalization of valence electron wave functions set fundamental limits to the com
Externí odkaz:
http://arxiv.org/abs/2402.17685
Verifiable learning advocates for training machine learning models amenable to efficient security verification. Prior research demonstrated that specific classes of decision tree ensembles -- called large-spread ensembles -- allow for robustness veri
Externí odkaz:
http://arxiv.org/abs/2402.14988
Autor:
Driver, Taran, Mountney, Miles, Wang, Jun, Ortmann, Lisa, Al-Haddad, Andre, Berrah, Nora, Bostedt, Christoph, Champenois, Elio G., DiMauro, Louis F., Duris, Joseph, Garratt, Douglas, Glownia, James M., Guo, Zhaoheng, Haxton, Daniel, Isele, Erik, Ivanov, Igor, Ji, Jiabao, Kamalov, Andrei, Li, Siqi, Lin, Ming-Fu, Marangos, Jon P., Obaid, Razib, O'Neal, Jordan T., Rosenberger, Philipp, Shivaram, Niranjan H., Wang, Anna L., Walter, Peter, Wolf, Thomas J. A., Wörner, Hans Jakob, Zhang, Zhen, Bucksbaum, Philip H., Kling, Matthias F., Landsman, Alexandra S., Lucchese, Robert R., Emmanouilidou, Agapi, Marinelli, Agostino, Cryan, James P.
The photoelectric effect is not truly instantaneous, but exhibits attosecond delays that can reveal complex molecular dynamics. Sub-femtosecond duration light pulses provide the requisite tools to resolve the dynamics of photoionization. Accordingly,
Externí odkaz:
http://arxiv.org/abs/2402.12764
The aim of this paper is to develop estimation and inference methods for the drift parameters of multivariate L\'evy-driven continuous-time autoregressive processes of order $p\in\mathbb{N}$. Starting from a continuous-time observation of the process
Externí odkaz:
http://arxiv.org/abs/2307.13020
This monograph takes a step towards promoting the study of efficiency in the era of neural information retrieval by offering a comprehensive survey of the literature on efficiency and effectiveness in ranking, and to a limited extent, retrieval. This
Externí odkaz:
http://arxiv.org/abs/2305.08680
With the ongoing integration of Machine Learning models into everyday life, e.g. in the form of the Internet of Things (IoT), the evaluation of learned models becomes more and more an important issue. Tree ensembles are one of the best black-box clas
Externí odkaz:
http://arxiv.org/abs/2305.08579