Zobrazeno 1 - 10
of 145 397
pro vyhledávání: '"A. Stéphan"'
Deep Neural Networks (DNNs) have shown remarkable success in various computer vision tasks. However, their black-box nature often leads to difficulty in interpreting their decisions, creating an unfilled need for methods to explain the decisions, and
Externí odkaz:
http://arxiv.org/abs/2412.02275
Channel Charting is a dimensionality reduction technique that learns to reconstruct a low-dimensional, physically interpretable map of the radio environment by taking advantage of similarity relationships found in high-dimensional channel state infor
Externí odkaz:
http://arxiv.org/abs/2412.01715
Distributed massive MIMO is considered a key advancement for improving the performance of next-generation wireless telecommunication systems. However, its efficacy in scenarios involving user mobility is limited due to channel aging. To address this
Externí odkaz:
http://arxiv.org/abs/2410.11486
Autor:
Di Giannatale, Giovanni, Volčokas, Arnas, Ball, Justin, Bottino, Alberto, Brunner, Stephan, Griveaux, Philippe, Murugappan, Moahan, Hayward-Schneider, Thomas, Villard, Laurent
This work aims at improving our understanding of the conditions enabling the development of an Internal transport barriers (ITB), using a more comprehensive physical model, including low-$\beta$ electromagnetic flux-driven simulations. Our key findin
Externí odkaz:
http://arxiv.org/abs/2412.10027
Autor:
Stephan, Paul
We establish partial regularity results for minimizers of a class of functionals depending on differential expressions based on elliptic operators. Specifically, we focus on functionals of Orlicz growth with a natural strong quasiconvexity property.
Externí odkaz:
http://arxiv.org/abs/2412.09478
Autor:
de la Rosa, Javier, Mikhailov, Vladislav, Zhang, Lemei, Wetjen, Freddy, Samuel, David, Liu, Peng, Braaten, Rolv-Arild, Mæhlum, Petter, Birkenes, Magnus Breder, Kutuzov, Andrey, Enstad, Tita, Brygfjeld, Svein Arne, Gulla, Jon Atle, Oepen, Stephan, Velldal, Erik, Østgulen, Wilfred, Øvrelid, Liljia, Myhre, Aslak Sira
The use of copyrighted materials in training generative language models raises critical legal and ethical questions. This paper presents a framework for and the results of empirically assessing the impact of copyrighted materials on the performance o
Externí odkaz:
http://arxiv.org/abs/2412.09460
Autor:
Stemer, Dominik, Thuermer, Stephan, Trinter, Florian, Hergenhahn, Uwe, Pugini, Michele, Credidio, Bruno, Malerz, Sebastian, Wilkinson, Iain, Nahon, Laurent, Meijer, Gerard, Powis, Ivan, Winter, Bernd
Amino acids and other small chiral molecules play key roles in biochemistry. However, in order to understand how these molecules behave in vivo, it is necessary to study them under aqueous-phase conditions. Photoelectron circular dichroism (PECD) has
Externí odkaz:
http://arxiv.org/abs/2412.08729
Autor:
Bottino, Alberto, Stier, Annika, Boesl, Mathias, Hayward-Schneider, Thomas, Bergmann, Andreas, Coster, David, Brunner, Stephan, Di Giannatale, Giovanni, Villard, Laurent
Over the past decades, multiple gyrokinetic codes have shown to be able to simulate turbulence and associated transport in the core of Tokamak devices. However, their application to the edge and scrape-off layer (SOL) region presents significant chal
Externí odkaz:
http://arxiv.org/abs/2412.08203
For several classes of neural PDE solvers (Deep Ritz, PINNs, DeepONets), the ability to approximate the solution or solution operator to a partial differential equation (PDE) hinges on the abilitiy of a neural network to approximate the solution in t
Externí odkaz:
http://arxiv.org/abs/2412.07728
Vehicle models have a long history of research and as of today are able to model the involved physics in a reasonable manner. However, each new vehicle has its new characteristics or parameters. The identification of these is the main task of an engi
Externí odkaz:
http://arxiv.org/abs/2412.07521