Zobrazeno 1 - 10
of 124 337
pro vyhledávání: '"A P, Barry"'
Autor:
Gurav, Rutuja, Kelly, Isaac, Goodarzi, Pooyan, Effler, Anamaria, Barish, Barry, Papalexakis, Evangelos, Richardson, Jonathan
Gravitational-wave observatories like LIGO are large-scale, terrestrial instruments housed in infrastructure that spans a multi-kilometer geographic area and which must be actively controlled to maintain operational stability for long observation per
Externí odkaz:
http://arxiv.org/abs/2412.09832
Given recent increases in ocean water levels brought on by climate change, this investigation decomposed changes in coastal water levels into its fundamental components to predict maximum water levels for a given coastal location. The study focused o
Externí odkaz:
http://arxiv.org/abs/2412.09419
Both encoder-only models (e.g., BERT, RoBERTa) and large language models (LLMs, e.g., Llama3) have been widely used for text classification tasks. However, there is a lack of systematic studies comparing the performance of encoder-based models and LL
Externí odkaz:
http://arxiv.org/abs/2412.08587
Autor:
Amitonov, S. V., Aprà, A., Asker, M., Barry, B., Bashir, I., Bisiaux, P., Blokhina, E., Giounanlis, P., Hanos-Puskai, P., Harkin, M., Kriekouki, I., Leipold, D., Moras, M., Power, C., Samkharadze, N., Sokolov, A., Redmond, D., Rohrbacher, C., Wu, X.
Confining electrons or holes in quantum dots formed in the channel of industry-standard fully depleted silicon-on-insulator CMOS structures is a promising approach to scalable qubit architectures. In this communication, we present measurement results
Externí odkaz:
http://arxiv.org/abs/2412.08422
This investigation establishes the theoretical and practical limits of signal strength estimate precision for Kolmogorov-Zurbenko periodograms with dynamic smoothing and compares them to those of standard log-periodograms with static smoothing. Previ
Externí odkaz:
http://arxiv.org/abs/2412.07735
The growing demand for accurate, continuous, and non-invasive health monitoring has propelled multi-sensor data fusion to the forefront of healthcare technology. This review aims to provide an overview of the development of fusion frameworks in the l
Externí odkaz:
http://arxiv.org/abs/2412.05895
Table extraction from document images is a challenging AI problem, and labelled data for many content domains is difficult to come by. Existing table extraction datasets often focus on scientific tables due to the vast amount of academic articles tha
Externí odkaz:
http://arxiv.org/abs/2412.04262
Autor:
Mackraz, Natalie, Sivakumar, Nivedha, Khorshidi, Samira, Patel, Krishna, Theobald, Barry-John, Zappella, Luca, Apostoloff, Nicholas
Large language models (LLMs) are increasingly being adapted to achieve task-specificity for deployment in real-world decision systems. Several previous works have investigated the bias transfer hypothesis (BTH) by studying the effect of the fine-tuni
Externí odkaz:
http://arxiv.org/abs/2412.03537
Autor:
Amitonov, S., Aprà, A., Asker, M., Bals, R., Barry, B., Bashir, I., Blokhina, E., Giounanlis, P., Harkin, M., Hanos-Puskai, P., Kriekouki, I., Leipold, D., Moras, M., Murphy, N., Petropoulos, N., Power, C., Sammak, A., Samkharadze, N., Semenov, A., Sokolov, A., Redmond, D., Rohrbacher, C., Wu, X.
This paper presents a characterization of a two-qubit processor in a 6-quantum dot array in SiGe, from the perspective of its quantum information processing capabilities. The analysis includes randomized benchmarking of single- and two-qubit gates, S
Externí odkaz:
http://arxiv.org/abs/2412.01920
Autor:
Cangi, Attila, Fiedler, Lenz, Brzoza, Bartosz, Shah, Karan, Callow, Timothy J., Kotik, Daniel, Schmerler, Steve, Barry, Matthew C., Goff, James M., Rohskopf, Andrew, Vogel, Dayton J., Modine, Normand, Thompson, Aidan P., Rajamanickam, Sivasankaran
We present the Materials Learning Algorithms (MALA) package, a scalable machine learning framework designed to accelerate density functional theory (DFT) calculations suitable for large-scale atomistic simulations. Using local descriptors of the atom
Externí odkaz:
http://arxiv.org/abs/2411.19617