Zobrazeno 1 - 10
of 631
pro vyhledávání: '"Szymański, Piotr"'
We study the effectiveness of regional lockdown strategies to mitigate the spread of a pathogen across regional units, in the following called cities, within a country or region for a single infection wave. The heterogeneity in the epidemically relev
Externí odkaz:
http://arxiv.org/abs/2402.03100
Autor:
Gramacki, Piotr, Leśniara, Kacper, Raczycki, Kamil, Woźniak, Szymon, Przymus, Marcin, Szymański, Piotr
Spatial Representations for Artificial Intelligence (srai) is a Python library for working with geospatial data. The library can download geospatial data, split a given area into micro-regions using multiple algorithms and train an embedding model us
Externí odkaz:
http://arxiv.org/abs/2310.13098
Autor:
Kołaczek-Szymański, Piotr Antoni, Łojko, Piotr, Pigulski, Andrzej, Różański, Tomasz, Moździerski, Dawid
Publikováno v:
A&A 686, A199 (2024)
Evolution of massive stars is dominated by interactions within binary systems. Therefore, it is necessary to investigate all forms of interaction in binary systems that may affect the evolution of the components. One of such laboratories is the massi
Externí odkaz:
http://arxiv.org/abs/2309.16532
With a recent influx of voice generation methods, the threat introduced by audio DeepFake (DF) is ever-increasing. Several different detection methods have been presented as a countermeasure. Many methods are based on so-called front-ends, which, by
Externí odkaz:
http://arxiv.org/abs/2306.01428
Autor:
Leśniara, Kacper, Szymański, Piotr
Recent years brought advancements in using neural networks for representation learning of various language or visual phenomena. New methods freed data scientists from hand-crafting features for common tasks. Similarly, problems that require consideri
Externí odkaz:
http://arxiv.org/abs/2304.13865
Publikováno v:
A&A 671, A22 (2023)
Massive and intermediate-mass stars reside in binary systems much more frequently than low-mass stars. Binaries containing massive main-sequence (MS) component(s) are often characterised by eccentric orbits, and can be observed as eccentric ellipsoid
Externí odkaz:
http://arxiv.org/abs/2301.00733
Autor:
Augustyniak, Łukasz, Tagowski, Kamil, Sawczyn, Albert, Janiak, Denis, Bartusiak, Roman, Szymczak, Adrian, Wątroba, Marcin, Janz, Arkadiusz, Szymański, Piotr, Morzy, Mikołaj, Kajdanowicz, Tomasz, Piasecki, Maciej
Publikováno v:
Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (NeurIPS 2022) - https://lepiszcze.ml
The availability of compute and data to train larger and larger language models increases the demand for robust methods of benchmarking the true progress of LM training. Recent years witnessed significant progress in standardized benchmarking for Eng
Externí odkaz:
http://arxiv.org/abs/2211.13112
Autor:
Wielgórski, Piotr, Pietrzyński, Grzegorz, Pilecki, Bogumił, Gieren, Wolfgang, Zgirski, Bartłomiej, Górski, Marek, Hajdu, Gergely, Narloch, Weronika, Karczmarek, Paulina, Smolec, Radosław, Kervella, Pierre, Storm, Jesper, Gallenne, Alexandre, Breuval, Louise, Lewis, Megan, Kałuszyński, Mikołaj, Graczyk, Dariusz, Pych, Wojciech, Suchomska, Ksenia, Taormina, Mónica, Garcia, Gonzalo Rojas, Kotek, Aleksandra, Chini, Rolf, Nuñez, Francisco Pozo, Noroozi, Sadegh, Figaredo, Catalina Sobrino, Haas, Martin, Hodapp, Klaus, Mikołajczyk, Przemysław, Kotysz, Krzysztof, Moździerski, Dawid, Kołaczek-Szymański, Piotr
We present time-series photometry of 21 nearby Type II Cepheids in the near-infrared J, H and Ks passbands. We use this photometry, together with the Third Gaia Early Data Release parallaxes, to determine for the first time period-luminosity relation
Externí odkaz:
http://arxiv.org/abs/2112.12122
Autor:
Raczycki, Kamil, Szymański, Piotr
Bicycle-sharing systems (BSS) have become a daily reality for many citizens of larger, wealthier cities in developed regions. However, planning the layout of bicycle-sharing stations usually requires expensive data gathering, surveying travel behavio
Externí odkaz:
http://arxiv.org/abs/2111.00990
Autor:
Woźniak, Szymon, Szymański, Piotr
Representation learning of spatial and geographic data is a rapidly developing field which allows for similarity detection between areas and high-quality inference using deep neural networks. Past approaches however concentrated on embedding raster i
Externí odkaz:
http://arxiv.org/abs/2111.00970