Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Leszczynski"'
Autor:
Moneta, J., Krysko, M., Domagala, J. Z., Grzanka, E., Muziol, G., Siekacz, M., Leszczynski, M., Smalc-Koziorowska, J.
Strain relaxation of thick InGaN layers was studied in order to develop technology of InGaN templates for deposition of InGaN Quantum Wells (QWs) and InGaN layers of high-In-content. In this paper, we show that InGaN layers grown on misoriented (0001
Externí odkaz:
http://arxiv.org/abs/2403.02213
We present a general framework for modeling power magnetic materials characteristics using deep neural networks. Magnetic materials represented by multidimensional characteristics (that mimic measurements) are used to train the neural autoencoder mod
Externí odkaz:
http://arxiv.org/abs/2401.00072
Autor:
Chaganty, Arun Tejasvi, Leszczynski, Megan, Zhang, Shu, Ganti, Ravi, Balog, Krisztian, Radlinski, Filip
Users in consumption domains, like music, are often able to more efficiently provide preferences over a set of items (e.g. a playlist or radio) than over single items (e.g. songs). Unfortunately, this is an underexplored area of research, with most e
Externí odkaz:
http://arxiv.org/abs/2303.06791
Autor:
Leszczynski, Megan, Zhang, Shu, Ganti, Ravi, Balog, Krisztian, Radlinski, Filip, Pereira, Fernando, Chaganty, Arun Tejasvi
Recommender systems are ubiquitous yet often difficult for users to control, and adjust if recommendation quality is poor. This has motivated conversational recommender systems (CRSs), with control provided through natural language feedback. However,
Externí odkaz:
http://arxiv.org/abs/2301.11489
Three-dimensional imaging is one of the crucial tools of modern sciences, that allows non-invasive inspection of physical objects. We propose and demonstrate a method to reconstruct a three-dimensional structure of coherence stored in an atomic ensem
Externí odkaz:
http://arxiv.org/abs/2210.12110
Entity retrieval--retrieving information about entity mentions in a query--is a key step in open-domain tasks, such as question answering or fact checking. However, state-of-the-art entity retrievers struggle to retrieve rare entities for ambiguous m
Externí odkaz:
http://arxiv.org/abs/2204.08173
Autor:
Leszczyński, Adam
This doctoral thesis focuses on the issue of phase matching in a quantum memory operating on a cold cloud of $^{87}$Rb atoms, where non-resonant Raman scattering is used as an interface between light and atoms. Experimental results and considerations
Externí odkaz:
http://arxiv.org/abs/2201.11765
Named entity disambiguation (NED), which involves mapping textual mentions to structured entities, is particularly challenging in the medical domain due to the presence of rare entities. Existing approaches are limited by the presence of coarse-grain
Externí odkaz:
http://arxiv.org/abs/2110.08228
Publikováno v:
VLDB 2021
The industrial machine learning pipeline requires iterating on model features, training and deploying models, and monitoring deployed models at scale. Feature stores were developed to manage and standardize the engineer's workflow in this end-to-end
Externí odkaz:
http://arxiv.org/abs/2108.05053
Publikováno v:
Nature Communications 13, 691 (2022)
Existing super-resolution methods of optical imaging hold a solid place as an application in natural sciences, but many new developments allow for beating the diffraction limit in a more subtle way. One of the recently explored strategies to fully ex
Externí odkaz:
http://arxiv.org/abs/2106.04450