Zobrazeno 1 - 10
of 5 167
pro vyhledávání: '"Gratton, P"'
Autor:
Dinis, Isaac, Wildi, François, Ségransan, Damien, Gupta, Vaibhav, Karimi, Alireza, Tallon, Michel, Bosc, Isabelle, Langlois, Maud, Loupias, Magali, Bechet, Clémentine, Thiébaut, Eric, Goulas, Charles, Ferreira, Florian, Boccaletti, Anthony, Vidal, Fabrice, Kulcsar, Caroline, Raynaud, Henri-François, Galland, Nicolas, Kasper, Markus, Milli, Julien, Mouillet, David, Schreiber, Laura, Diolaiti, Emiliano, Gratton, Raffaele, Chauvin, Gael
This study introduces a novel frequency-based data-driven controller for adaptive optics, using power spectral density for optimization while ensuring stability criteria. It addresses disturbance rejection, command amplitude constraints and system tr
Externí odkaz:
http://arxiv.org/abs/2410.05123
Autor:
Johnson, Paul A., Moisset, Jean-David, Gratton, Marianne, Baril, Émile, Plourde, Marc-Antoine, Lefebvre, Mathis, Kerleaux, Marianne, Ayers, Paul W., Cassam-Chenaï, Patrick, De Baerdemacker, Stijn, Van Neck, Dimitri
Wavefunction forms based on products of electron pairs are usually constructed as closed-shell singlets, which is insufficient when the molecular state has a nonzero spin or when the chemistry is determined by $d$- or $f-$electrons. A set of two-elec
Externí odkaz:
http://arxiv.org/abs/2410.01761
Autor:
Delorme, P., Chomez, A., Squicciarini, V., Janson, M., Flasseur, O., Schib, O., Gratton, R., Lagrange, A-M., Langlois, M., Mayer, L., Helled, R., Reïffert, S, Kiefer, F., Biller, B., Chauvin, G., Fontanive, C., Henning, Th., Kenworthy, M., Marleau, G-D., Mesa, D., Meyer, M. R., Mordasini, C., Ringqvist, S. C., Samland, M., Vigan, A., Viswanath, G.
Exoplanets form from circumstellar protoplanetary discs whose fundamental properties (notably their extent, composition, mass, temperature and lifetime) depend on the host star properties, such as their mass and luminosity. B-stars are among the most
Externí odkaz:
http://arxiv.org/abs/2409.18793
This study presents a two-level Deep Domain Decomposition Method (Deep-DDM) augmented with a coarse-level network for solving boundary value problems using physics-informed neural networks (PINNs). The addition of the coarse level network improves sc
Externí odkaz:
http://arxiv.org/abs/2408.12198
We revisit the standard ``telescoping sum'' argument ubiquitous in the final steps of analyzing evaluation complexity of algorithms for smooth nonconvex optimization, and obtain a refined formulation of the resulting bound as a function of the reques
Externí odkaz:
http://arxiv.org/abs/2408.09124
Autor:
Gratton, Serge, Toint, Philippe L.
A new decoder for the SIF test problems of the CUTEst collection is described, which produces problem files allowing the computation of values and derivatives of the objective function and constraints of most \cutest\ problems directly within ``nativ
Externí odkaz:
http://arxiv.org/abs/2407.07812
A fully stochastic second-order adaptive-regularization method for unconstrained nonconvex optimization is presented which never computes the objective-function value, but yet achieves the optimal $\mathcal{O}(\epsilon^{-3/2})$ complexity bound for f
Externí odkaz:
http://arxiv.org/abs/2407.08018
A parametric class of trust-region algorithms for constrained nonconvex optimization is analyzed, where the objective function is never computed. By defining appropriate first-order stationarity criteria, we are able to extend the Adagrad method to t
Externí odkaz:
http://arxiv.org/abs/2406.15793
Autor:
Nguyen, Hai-Vy, Gamboa, Fabrice, Zhang, Sixin, Chhaibi, Reda, Gratton, Serge, Giaccone, Thierry
In this paper, we introduce a novel discriminative loss function with large margin in the context of Deep Learning. This loss boosts the discriminative power of neural nets, represented by intra-class compactness and inter-class separability. On the
Externí odkaz:
http://arxiv.org/abs/2405.18499
Autor:
Reverdi, Justin, Zhang, Sixin, Aoues, Saïd, Gamboa, Fabrice, Gratton, Serge, Pellegrini, Thomas
In Vapor Cycle Systems, the mass flow sensor playsa key role for different monitoring and control purposes. However,physical sensors can be inaccurate, heavy, cumbersome, expensive orhighly sensitive to vibrations, which is especially problematic whe
Externí odkaz:
http://arxiv.org/abs/2406.17788