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pro vyhledávání: '"Lejeune P"'
Estimating out-of-sample risk for models trained on large high-dimensional datasets is an expensive but essential part of the machine learning process, enabling practitioners to optimally tune hyperparameters. Cross-validation (CV) serves as the de f
Externí odkaz:
http://arxiv.org/abs/2409.09781
Autor:
Lejeune, Théo, Damanet, François
The most important characteristic of a Quantum Key Distribution (QKD) protocol is its security against third-party attacks, and the potential countermeasures available. While new types of attacks are regularly developed in the literature, they rarely
Externí odkaz:
http://arxiv.org/abs/2408.12571
The recent pandemic emphasized the need to consider the role of human behavior in shaping epidemic dynamics. In particular, it is necessary to extend beyond the classical epidemiological structures to fully capture the interplay between the spread of
Externí odkaz:
http://arxiv.org/abs/2405.15535
Autor:
Nulens, Lukas, Chaves, Davi A. D., Harb, Omar J. Y., Scheerder, Jeroen E., Lejeune, Nicolas, Brahim, Kamal, Raes, Bart, Silhanek, Alejandro V., Van Bael, Margriet J., Van de Vondel, Joris
The energy landscape of multiply connected superconducting structures is ruled by fluxoid quantization due to the implied single-valuedness of the complex wave function. The transitions and interaction between these energy states, each defined by a s
Externí odkaz:
http://arxiv.org/abs/2405.11882
Autor:
Kobeissi, Hiba, Gao, Xining, DePalma, Samuel J., Ewoldt, Jourdan K., Wang, Miranda C., Das, Shoshana L., Jilberto, Javiera, Nordsletten, David, Baker, Brendon M., Chen, Christopher S., Lejeune, Emma
Movies of human induced pluripotent stem cell (hiPSC)-derived engineered cardiac tissue (microbundles) contain abundant information about structural and functional maturity. However, extracting these data in a reproducible and high-throughput manner
Externí odkaz:
http://arxiv.org/abs/2405.11096
While effective in practice, iterative methods for solving large systems of linear equations can be significantly affected by problem-dependent condition number quantities. This makes characterizing their time complexity challenging, particularly whe
Externí odkaz:
http://arxiv.org/abs/2405.05818
Autor:
Lejeune, N., Fourneau, E., Barrera, A., Morris, O., Leonard, O., Arregi, J. A., Navau, C., Uhlíř, V., Bending, S., Palau, A., Silhanek, A. V.
Publikováno v:
APL Mater. 12, 071126 (2024)
Transformation optics applied to low frequency magnetic systems has been recently implemented to design magnetic field concentrators and cloaks with superior performance. Although this achievement has been amply demonstrated theoretically and experim
Externí odkaz:
http://arxiv.org/abs/2404.16700
There has been significant recent interest in the mechanics community to design structures that can either violate reciprocity, or exhibit elastic asymmetry or odd elasticity. While these properties are highly desirable to enable mechanical metamater
Externí odkaz:
http://arxiv.org/abs/2404.13215
Autor:
Bui, Huu Phuoc, Duprez, Michel, Rohan, Pierre-Yves, Lejeune, Arnaud, Bordas, Stephane P. A., Bucki, Marek, Chouly, Franz
The Finite Element Method (FEM) is a well-established procedure for computing approximate solutions to deterministic engineering problems described by partial differential equations. FEM produces discrete approximations of the solution with a discret
Externí odkaz:
http://arxiv.org/abs/2403.00401
For parameterized mixed-binary optimization problems, we construct local decision rules that prescribe near-optimal courses of action across a set of parameter values. The decision rules stem from solving risk-adaptive training problems over classes
Externí odkaz:
http://arxiv.org/abs/2310.09844