Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Ivan Sekulic"'
Autor:
Oliver Anton, Victoria A Henderson, Elisa Da Ros, Ivan Sekulic, Sven Burger, Philipp-Immanuel Schneider, Markus Krutzik
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 2, p 025022 (2024)
The generation of cold atom clouds is a complex process which involves the optimization of noisy data in high dimensional parameter spaces. Optimization can be challenging both in and especially outside of the lab due to lack of time, expertise, or a
Externí odkaz:
https://doaj.org/article/228b93ea8ef245b6be7515d5cbcb82a8
Autor:
Philipp-Immanuel Schneider, Lin Zschiedrich, Martin Hammerschmidt, Lilli Kuen, Ivan Sekulic, Julien Kluge, Bastian Leykauf, Markus Krutzik, Sven Burger
Publikováno v:
Applications of Machine Learning 2022.
Autor:
Phillip Manley, Ivan Sekulic
Publikováno v:
Novel Optical Systems, Methods, and Applications XXV.
Autor:
Ivan Sekulic, Nicolae C. Panoiu
Publikováno v:
2021 International Conference on Electromagnetics in Advanced Applications (ICEAA).
In this paper, we introduce a transfer matrix method (TMM) for efficient calculation of second-harmonic generation (SHG) from clusters of nanospheres made of centrosymmetric materials. Different from current TMM formulations, our approach goes beyond
Publikováno v:
ICTIR
Clarifying an underlying user information need is an important aspect of a modern-day IR system. The importance of clarification is even higher in limited-bandwidth scenarios, such as conversational or mobile search, where a user is unable to easily
Publikováno v:
Sensors, Vol 17, Iss 7, p 1583 (2017)
The GEROS-ISS (GNSS rEflectometry, Radio Occultation and Scatterometry onboard International Space Station) is an innovative experiment for climate research, proposed in 2011 within a call of the European Space Agency (ESA). This proposal was the onl
Externí odkaz:
https://doaj.org/article/5fcafe2ef77e4b9181d256ee1a332455
Publikováno v:
ICASSP
Question Answering (QA) models over Knowledge Bases (KBs) are capable of providing more precise answers by utilizing relation information among entities. Although effective, most of these models solely rely on fixed relation representations to obtain
In this article, we present a $T$-matrix method for numerical computation of second-harmonic generation from clusters of arbitrarily distributed spherical particles made of centrosymmetric optical materials. The electromagnetic fields at the fundamen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd5149ee07b7839dada81eeaa23319c7
Publikováno v:
ACL
Web of Science
Web of Science
Document-level relation extraction requires integrating information within and across multiple sentences of a document and capturing complex interactions between inter-sentence entities. However, effective aggregation of relevant information in the d
Autor:
Ivan Sekulic, Michael Strube
Publikováno v:
W-NUT@EMNLP
Mental health poses a significant challenge for an individual's well-being. Text analysis of rich resources, like social media, can contribute to deeper understanding of illnesses and provide means for their early detection. We tackle a challenge of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c64c32b09bbd620b92095bc2abf06308