Zobrazeno 1 - 10
of 44 596
pro vyhledávání: '"Marko, P."'
Autor:
Hostnik, Marko, Robnik-Šikonja, Marko
The use of large language models (LLMs) is becoming increasingly widespread among software developers. However, privacy and computational requirements are problematic with commercial solutions and the use of LLMs. In this work, we focus on using LLMs
Externí odkaz:
http://arxiv.org/abs/2408.05026
Substitutional doping with transition metals is carried out in the Lepidocrocite phase - the stable monolayer geometry of TiO$_2$, using density functional theory (DFT) methods. The doping is carried out at the differently coordinated O atom cites, p
Externí odkaz:
http://arxiv.org/abs/2410.08358
Autor:
Nosratabadi, Seyyed Mostafa, Savelli, Iacopo, Kumtepeli, Volkan, Grunewald, Phil, Aunedi, Marko, Howey, David A., Morstyn, Thomas
Grid energy storage can help to balance supply and demand, but its financial viability and operational carbon emissions impact is poorly understood because of the complexity of grid constraints and market outcomes. We analyse the impact of several te
Externí odkaz:
http://arxiv.org/abs/2410.07740
Autor:
Tuononen, Marko, Hautamäki, Ville
Mutual information provides a powerful, general-purpose metric for quantifying the amount of shared information between variables. Estimating normalized mutual information using a k-Nearest Neighbor (k-NN) based approach involves the calculation of t
Externí odkaz:
http://arxiv.org/abs/2410.07642
Integrability is an exceptional property believed to hold only for systems with fine-tuned parameters. Contrary, we explicitly show that in homogeneous nearest-neighbor qubit circuits with a U(1) symmetry, i.e., circuits that repeatedly apply the sam
Externí odkaz:
http://arxiv.org/abs/2410.06760
Large language models (LLMs) are a basic infrastructure for modern natural language processing. Many commercial and open-source LLMs exist for English, e.g., ChatGPT, Llama, Falcon, and Mistral. As these models are trained on mostly English texts, th
Externí odkaz:
http://arxiv.org/abs/2410.06898
Implicit Neural Representations (INRs) have recently gained attention as a powerful approach for continuously representing signals such as images, videos, and 3D shapes using multilayer perceptrons (MLPs). However, MLPs are known to exhibit a low-fre
Externí odkaz:
http://arxiv.org/abs/2410.05050
Autor:
Turzynsky, Marko K.
We study inhomogeneous non-strictly hyperbolic systems of two equations, which are a formal generalization of the transformed one-dimensional Euler-Poisson equations. For such systems, a complete classification of the behavior of the solution is carr
Externí odkaz:
http://arxiv.org/abs/2410.04597
In this paper, we study Artinian and Noetherian properties in vector lattices and provide a concrete representation of these spaces. Furthermore, we describe for which Archimedean uniformly complete vector lattices every decreasing sequence of prime
Externí odkaz:
http://arxiv.org/abs/2410.03329
RISE-SDF: a Relightable Information-Shared Signed Distance Field for Glossy Object Inverse Rendering
Autor:
Zhang, Deheng, Wang, Jingyu, Wang, Shaofei, Mihajlovic, Marko, Prokudin, Sergey, Lensch, Hendrik P. A., Tang, Siyu
In this paper, we propose a novel end-to-end relightable neural inverse rendering system that achieves high-quality reconstruction of geometry and material properties, thus enabling high-quality relighting. The cornerstone of our method is a two-stag
Externí odkaz:
http://arxiv.org/abs/2409.20140