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pro vyhledávání: '"Lilja, A"'
We characterize when a size-2 positive semidefinite (psd) factorization of a positive matrix of rank 3 and psd rank 2 is unique. The characterization is obtained using tools from rigidity theory. In the first step, we define s-infinitesimally rigid p
Externí odkaz:
http://arxiv.org/abs/2410.18891
Autor:
Giraldo, José, Llopart-Font, Martí, Peiró-Lilja, Alex, Armentano-Oller, Carme, Sant, Gerard, Külebi, Baybars
High-quality audio data is a critical prerequisite for training robust text-to-speech models, which often limits the use of opportunistic or crowdsourced datasets. This paper presents an approach to overcome this limitation by implementing a denoisin
Externí odkaz:
http://arxiv.org/abs/2410.13357
Online mapping is important for scaling autonomous driving beyond well-defined areas. Training a model to produce a local map, including lane markers, road edges, and pedestrian crossings using only onboard sensory information, traditionally requires
Externí odkaz:
http://arxiv.org/abs/2410.10279
Multiterminal Josephson junctions (MTJJs), devices in which a normal metal is in contact with three or more superconducting leads, have been proposed as artificial analogs of topological crystals. The topological nature of MTJJs manifests as a modula
Externí odkaz:
http://arxiv.org/abs/2408.09023
In sentiment analysis of longer texts, there may be a variety of topics discussed, of entities mentioned, and of sentiments expressed regarding each entity. We find a lack of studies exploring how such texts express their sentiment towards each entit
Externí odkaz:
http://arxiv.org/abs/2407.03916
Autor:
Wold, Sondre, Simon, Étienne, Charpentier, Lucas Georges Gabriel, Kostylev, Egor V., Velldal, Erik, Øvrelid, Lilja
Grounded language models use external sources of information, such as knowledge graphs, to meet some of the general challenges associated with pre-training. By extending previous work on compositional generalization in semantic parsing, we allow for
Externí odkaz:
http://arxiv.org/abs/2406.04989
Autor:
Mæhlum, Petter, Samuel, David, Norman, Rebecka Maria, Jelin, Elma, Bjertnæs, Øyvind Andresen, Øvrelid, Lilja, Velldal, Erik
Sentiment analysis is an important tool for aggregating patient voices, in order to provide targeted improvements in healthcare services. A prerequisite for this is the availability of in-domain data annotated for sentiment. This article documents an
Externí odkaz:
http://arxiv.org/abs/2404.18832
Autor:
Lindström, Carl, Hess, Georg, Lilja, Adam, Fatemi, Maryam, Hammarstrand, Lars, Petersson, Christoffer, Svensson, Lennart
Neural Radiance Fields (NeRFs) have emerged as promising tools for advancing autonomous driving (AD) research, offering scalable closed-loop simulation and data augmentation capabilities. However, to trust the results achieved in simulation, one need
Externí odkaz:
http://arxiv.org/abs/2403.16092
Autor:
Zeng, Weijun, Lilja, Ilari, Mukhanova, Ekaterina, Heredia, Elica, Wu, Chun-Wei, Lin, Juhn-Jong, Yeh, Sheng-Shiuan, Hakonen, Pertti
Cobalt disilicide provides a promising nearly-epitaxial superconducting material on silicon, which is compatible with high-density integrated circuit technology. We have characterized CoSi$_{2}$ superconducting microwave cavities around 5.5 GHz for r
Externí odkaz:
http://arxiv.org/abs/2403.08347
Autor:
Elalaily, Tosson, Berke, Martin, Lilja, Ilari, Savin, Alexander, Fülöp, Gergő, Kupás, Lőrinc, Kanne, Thomas, Nygård, Jesper, Makk, Péter, Hakonen, Pertti, Csonka, Szabolcs
The observation of the gate-controlled supercurrent (GCS) effect in superconducting nanostructures increased the hopes for realizing a superconducting equivalent of semiconductor field-effect transistors. However, recent works attribute this effect t
Externí odkaz:
http://arxiv.org/abs/2312.15453