Zobrazeno 1 - 10
of 3 444
pro vyhledávání: '"A. Kobak"'
Recent large language models (LLMs) can generate and revise text with human-level performance, and have been widely commercialized in systems like ChatGPT. These models come with clear limitations: they can produce inaccurate information, reinforce e
Externí odkaz:
http://arxiv.org/abs/2406.07016
We report on the optical spectroscopy of the spin of two Co atoms in a quantum dot and interacting with a single exciton. The spectrum of quantum dots containing two Co atoms are exchange interaction and by the strain at the location of the magnetic
Externí odkaz:
http://arxiv.org/abs/2404.09534
Autor:
González-Márquez, Rita, Kobak, Dmitry
Publikováno v:
DMLR workshop at ICLR 2024
The ICLR conference is unique among the top machine learning conferences in that all submitted papers are openly available. Here we present the ICLR dataset consisting of abstracts of all 24 thousand ICLR submissions from 2017-2024 with meta-data, de
Externí odkaz:
http://arxiv.org/abs/2404.08403
Autor:
Bartkiewicz, A., Sanna, A., Szymczak, M., Moscadelli, L., van Langevelde, H. J., Wolak, P., Kobak, A., Durjasz, M.
Publikováno v:
A&A 686, A275 (2024)
Methanol masers at 6.7~GHz are well-known signposts of high-mass star-forming regions. [...] We aim to understand the origin of the ring-like structures outlined by methanol maser emission in a number of sources. This emission could be, a priori, spa
Externí odkaz:
http://arxiv.org/abs/2404.07333
Autor:
Álvarez, María A., Kobak, Camila Pedraza, Enrico, Roxana J., Danert, F. Carolina, Zampini, Iris C., Isla, María Inés
Publikováno v:
Darwiniana, 2024 Jul 01. 12(1), 135-148.
Externí odkaz:
https://www.jstor.org/stable/27336283
Self-supervised learning methods based on data augmentations, such as SimCLR, BYOL, or DINO, allow obtaining semantically meaningful representations of image datasets and are widely used prior to supervised fine-tuning. A recent self-supervised learn
Externí odkaz:
http://arxiv.org/abs/2402.14566
Autor:
Szymczak, M., Durjasz, M., Goedhart, S., Wolak, P., Bartkiewicz, A., Garatti, A. Caratti o, Kobak, A., Massi, F.
Aims: We report the discovery and analysis of a periodic methanol maser in the massive protostar IRAS 20216+4104. Methods: To obtain the light curve, we used the 6.7 GHz methanol maser spectra collected between 2000-2003 and 2009-2023 with the Harteb
Externí odkaz:
http://arxiv.org/abs/2312.01978
Persistent homology is a popular computational tool for analyzing the topology of point clouds, such as the presence of loops or voids. However, many real-world datasets with low intrinsic dimensionality reside in an ambient space of much higher dime
Externí odkaz:
http://arxiv.org/abs/2311.03087
Autor:
Kamil Wiśniewski, Csilla Balogh, Jarosław Kobak, Daniel Szarmach, Łukasz Jermacz, Małgorzata Poznańska-Kakareko
Publikováno v:
NeoBiota, Vol 96, Iss , Pp 1-18 (2024)
Unionid mussels are globally threatened by several human disturbances, including the introduction of non-native species. Among these, biofouling zebra and quagga mussels of Ponto-Caspian origin are considered to be especially detrimental to unionid l
Externí odkaz:
https://doaj.org/article/84179c2039ff46f68a421ae43d14eeb9
Autor:
Aberfelds, A, Bartkiewicz, A, Szymczak, M, Šteinbergs, J, Surcis, G, Kobak, A, Durjasz, M, Shmeld, I
Publikováno v:
MNRAS, Volume 524, Issue 1, September 2023, Pages 599-618
{The variability study of 6.7\,GHz methanol masers has become a useful way to improve our understanding of the physical conditions in high-mass star-forming regions.} {Based on the single-dish monitoring using the Irbene telescopes, we selected three
Externí odkaz:
http://arxiv.org/abs/2307.03663