Zobrazeno 1 - 10
of 902
pro vyhledávání: '"P. Rupnik"'
Autor:
Venturini, R., Rupnik, M., Gašperlin, J., Lipič, J., Šutar, P., Vaskivskyi, Y., Ščepanović, F., Grabnar, D., Golež, D., Mihailovic, D.
Control over the novel quantum states that emerge from non-equilibrium conditions is of both fundamental and technological importance. Metastable charge density wave (CDW) states are particularly interesting as their electrical manipulation could lea
Externí odkaz:
http://arxiv.org/abs/2412.13094
Autor:
Rupnik, Peter Medle, Hanžel, Ema, Lovšin, Matija, Osterman, Natan, Gibb, Calum J., Mandle, Richard J., Sebastián, Nerea, Mertelj, Alenka
The recent discovery of ferroelectric nematic liquid crystalline phases marks a major breakthrough in soft matter research. An intermediate phase, often observed between the nonpolar and the ferroelectric nematic phase, shows a distinct antiferroelec
Externí odkaz:
http://arxiv.org/abs/2411.06915
Calcium signals in pancreatic beta-cells collectives show a sharp transition from uncorrelated to correlated state resembling a phase transition as the slowly increasing glucose concentration crosses the tipping point. However, the exact nature or th
Externí odkaz:
http://arxiv.org/abs/2410.17756
A $k$-rainbow dominating function ($k$RDF) of $G$ is a function that assigns subsets of $ \{1,2,...,k\}$ to the vertices of $G$ such that for vertices $v$ with $f(v)=\emptyset $ we have $\bigcup\nolimits_{u\in N(v)}f(u)=\{1,2,...,k\}$. The weight $w(
Externí odkaz:
http://arxiv.org/abs/2409.18510
Recent significant improvements in speech and language technologies come both from self-supervised approaches over raw language data as well as various types of explicit supervision. To ensure high-quality processing of spoken data, the most useful t
Externí odkaz:
http://arxiv.org/abs/2409.15397
Neural radiance fields (NeRF) have gained prominence as a machine learning technique for representing 3D scenes and estimating the bidirectional reflectance distribution function (BRDF) from multiple images. However, most existing research has focuse
Externí odkaz:
http://arxiv.org/abs/2409.12014
Autor:
Nádasi, Hajnalka, Rupnik, Peter Medle, Küster, Melvin, Jarosik, Alexander, Tuffin, Rachel, Bremer, Matthias, Klasen-Memmer, Melanie, Lisjak, Darja, Sebastián, Nerea, Mertelj, Alenka, Ludwig, Frank, Eremin, Alexey
Responsiveness to multiple stimuli and adaptivity are paramount for designing smart multifunctional materials. In soft, partially ordered systems, these features can often be achieved via self-assembly, allowing for the combination of diverse compone
Externí odkaz:
http://arxiv.org/abs/2408.11442
The world of language models is going through turbulent times, better and ever larger models are coming out at an unprecedented speed. However, we argue that, especially for the scientific community, encoder models of up to 1 billion parameters are s
Externí odkaz:
http://arxiv.org/abs/2404.05428
Autor:
van Noord, Rik, Kuzman, Taja, Rupnik, Peter, Ljubešić, Nikola, Esplà-Gomis, Miquel, Ramírez-Sánchez, Gema, Toral, Antonio
Large, curated, web-crawled corpora play a vital role in training language models (LMs). They form the lion's share of the training data in virtually all recent LMs, such as the well-known GPT, LLaMA and XLM-RoBERTa models. However, despite this impo
Externí odkaz:
http://arxiv.org/abs/2403.08693
Publikováno v:
International Journal of Applied Earth Observation and Geoinformation, 128(2024)
Dense matching is crucial for 3D scene reconstruction since it enables the recovery of scene 3D geometry from image acquisition. Deep Learning (DL)-based methods have shown effectiveness in the special case of epipolar stereo disparity estimation in
Externí odkaz:
http://arxiv.org/abs/2402.12522