Zobrazeno 1 - 10
of 21 161
pro vyhledávání: '"Pagès, A"'
To address the challenge posed by noise in real quantum devices, quantum error mitigation techniques play a crucial role. These techniques are resource-efficient, making them suitable for implementation in noisy intermediate-scale quantum devices, un
Externí odkaz:
http://arxiv.org/abs/2411.16653
We introduce a new class of neural networks designed to be convex functions of their inputs, leveraging the principle that any convex function can be represented as the supremum of the affine functions it dominates. These neural networks, inherently
Externí odkaz:
http://arxiv.org/abs/2411.12854
Autor:
Jourdain, Benjamin, Pagès, Gilles
Motivated by the study of the propagation of convexity by semi-groups of stochastic differential equations and convex comparison between the distributions of solutions of two such equations, we study the comparison for the convex order between a Gaus
Externí odkaz:
http://arxiv.org/abs/2410.07958
We design a fully implementable scheme to compute the invariant distribution of ergodic McKean-Vlasov SDE satisfying a uniform confluence property. Under natural conditions, we prove various convergence results notably we obtain rates for the Wassers
Externí odkaz:
http://arxiv.org/abs/2406.13370
Autor:
Pagès, Gilles, Yeo, Christian
We investigate propagation of convexity and convex ordering on a typical stochastic optimal control problem, namely the pricing of \q{\emph{Take-or-Pay}} swing option, a financial derivative product commonly traded on energy markets. The dynamics of
Externí odkaz:
http://arxiv.org/abs/2406.07464
Nanopore sequencing offers the ability for real-time analysis of long DNA sequences at a low cost, enabling new applications such as early detection of cancer. Due to the complex nature of nanopore measurements and the high cost of obtaining ground t
Externí odkaz:
http://arxiv.org/abs/2404.08722
Autor:
Ciangottini, D., Forti, A., Heinrich, L., Skidmore, N., Alpigiani, C., Aly, M., Benjamin, D., Bockelman, B., Bryant, L., Catmore, J., D'Alfonso, M., Peris, A. Delgado, Doglioni, C., Duckeck, G., Elmer, P., Eschle, J., Feickert, M., Frost, J., Gardner, R., Garonne, V., Giffels, M., Gooding, J., Gramstad, E., Gray, L., Hegner, B., Held, A., Hernández, J., Holzman, B., Hu, F., Jashal, B. K., Kondratyev, D., Kourlitis, E., Kreczko, L., Krommydas, I., Kuhr, T., Lancon, E., Lange, C., Lange, D., Lange, J., Lenzi, P., Linden, T., Outschoorn, V. Martinez, McKee, S., Molina, J. F., Neubauer, M., Novak, A., Osborne, I., Ould-Saada, F., Pages, A. P., Pedro, K., Yzquierdo, A. Perez-Calero, Piperov, S., Pivarski, J., Rodrigues, E., Sahoo, N., Sciaba, A., Schulz, M., Sexton-Kennedy, L., Shadura, O., Šimko, T., Smith, N., Spiga, D., Stark, G., Stewart, G., Vukotic, I., Watts, G.
This white paper presents the current status of the R&D for Analysis Facilities (AFs) and attempts to summarize the views on the future direction of these facilities. These views have been collected through the High Energy Physics (HEP) Software Foun
Externí odkaz:
http://arxiv.org/abs/2404.02100
Autor:
Pagès, Raphaël
The solutions of the equation f^{ (p--1) }+ f^p = h^p in the unknown function f overan algebraic function field of characteristic p are very closely linked to the structure and fac-torisations of linear differential operators with coefficients in fun
Externí odkaz:
http://arxiv.org/abs/2403.06542
A major drawback of supervised speech separation (SSep) systems is their reliance on synthetic data, leading to poor real-world generalization. Mixture invariant training (MixIT) was proposed as an unsupervised alternative that uses real recordings,
Externí odkaz:
http://arxiv.org/abs/2403.02288
Field redefinitions are commonly used to reduce the number of operators in the Lagrangian by removing redundant operators and transforming to a minimal operator basis. We give a general argument that such field redefinitions, while leaving the $S$-ma
Externí odkaz:
http://arxiv.org/abs/2402.08715