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pro vyhledávání: '"Martin, Simon"'
We consider the problem of learning a target function corresponding to a single hidden layer neural network, with a quadratic activation function after the first layer, and random weights. We consider the asymptotic limit where the input dimension an
Externí odkaz:
http://arxiv.org/abs/2408.03733
Autor:
Tölle, Malte, Burger, Lukas, Kelm, Halvar, André, Florian, Bannas, Peter, Diller, Gerhard, Frey, Norbert, Garthe, Philipp, Groß, Stefan, Hennemuth, Anja, Kaderali, Lars, Krüger, Nina, Leha, Andreas, Martin, Simon, Meyer, Alexander, Nagel, Eike, Orwat, Stefan, Scherer, Clemens, Seiffert, Moritz, Seliger, Jan Moritz, Simm, Stefan, Friede, Tim, Seidler, Tim, Engelhardt, Sandy
Purpose: Federated training is often hindered by heterogeneous datasets due to divergent data storage options, inconsistent naming schemes, varied annotation procedures, and disparities in label quality. This is particularly evident in the emerging m
Externí odkaz:
http://arxiv.org/abs/2407.09064
Autor:
Tölle, Malte, Garthe, Philipp, Scherer, Clemens, Seliger, Jan Moritz, Leha, Andreas, Krüger, Nina, Simm, Stefan, Martin, Simon, Eble, Sebastian, Kelm, Halvar, Bednorz, Moritz, André, Florian, Bannas, Peter, Diller, Gerhard, Frey, Norbert, Groß, Stefan, Hennemuth, Anja, Kaderali, Lars, Meyer, Alexander, Nagel, Eike, Orwat, Stefan, Seiffert, Moritz, Friede, Tim, Seidler, Tim, Engelhardt, Sandy
Federated learning (FL) is a renowned technique for utilizing decentralized data while preserving privacy. However, real-world applications often involve inherent challenges such as partially labeled datasets, where not all clients possess expert ann
Externí odkaz:
http://arxiv.org/abs/2407.07557
On the Impact of Overparameterization on the Training of a Shallow Neural Network in High Dimensions
We study the training dynamics of a shallow neural network with quadratic activation functions and quadratic cost in a teacher-student setup. In line with previous works on the same neural architecture, the optimization is performed following the gra
Externí odkaz:
http://arxiv.org/abs/2311.03794
Autor:
Martin, Simon, Grover, Tarun
Publikováno v:
Phys. Rev. Research 5, 043270 (2023)
Motivated by experiments on spin chains embedded in a metallic bath, as well as closed quantum systems described by long-range interacting Hamiltonians, we study a critical SU(N) spin chain perturbed by dissipation, or equivalently, after space-time
Externí odkaz:
http://arxiv.org/abs/2307.13889
Autor:
Alicia Thiel, Franziska Drews, Marcello Pirritano, Fabian Schumacher, Vivien Michaelis, Maria Schwarz, Sören Franzenburg, Tanja Schwerdtle, Bernhard Michalke, Anna P. Kipp, Burkhard Kleuser, Martin Simon, Julia Bornhorst
Publikováno v:
Redox Biology, Vol 75, Iss , Pp 103290- (2024)
Cobalt (Co) and Nickel (Ni) are used nowadays in various industrial applications like lithium-ion batteries, raising concerns about their environmental release and public health threats. Both metals are potentially carcinogenic and may cause neurolog
Externí odkaz:
https://doaj.org/article/077bf244134e43628549d72a53e2e9c0
Autor:
Martin, Simon
Les matériaux de Dirac constituent une classe intéressante de systèmes pouvant subir une transition de phase quantique à température nulle, lorsqu’un paramètre non-thermique atteint un point critique quantique. À l’approche d’un tel poin
Externí odkaz:
http://hdl.handle.net/1866/26098