Concept
Orthogonal array
Related publications (25)
RMAML: Riemannian meta-learning with orthogonality constraints
Meta-learning is the core capability that enables intelligent systems to rapidly generalize their prior ex-perience to learn new tasks. In general, the optimization-based methods formalize the meta-learning as a bi-level optimization problem, that is a nes ...
ELSEVIER SCI LTD2023Emulator Design and Generation of Synthetic Dataset in Multi-Ion Sensing
Giovanni De Micheli, Sandro Carrara, Mandresy Ivan Ny Hanitra, Danilo Demarchi
Multi-ion potentiometric sensing becomes challenging for mixed-ion samples in which interfering electrolytes significantly alter the response of each single sensor. Therefore, an emulator based on the phase-boundary potential model is proposed to simulate ...
IEEE2020Symplectic dynamical low rank approximation of wave equations with random parameters
Fabio Nobile, Eleonora Musharbash, Eva Vidlicková
In this paper we propose a dynamical low-rank strategy for the approximation of second order wave equations with random parameters. The governing equation is rewritten in Hamiltonian form and the approximate solution is expanded over a set of 2S dynamical ...
2020Stochastic Gradient Descent for Spectral Embedding with Implicit Orthogonality Constraint
Pascal Frossard, Mireille El Gheche, Giovanni Chierchia
In this paper, we propose a scalable algorithm for spectral embedding. The latter is a standard tool for graph clustering. However, its computational bottleneck is the eigendecomposition of the graph Laplacian matrix, which prevents its application to larg ...
IEEE2019Method of identifying technical design solutions
The present invention concerns a method for generating technical design solutions satisfying a given performance target for a building. The method comprises: selecting a design model for the building; selecting a first set of design parameters from a first ...
2018Symplectic Dynamical Low Rank approximation of wave equations with random parameters
Fabio Nobile, Eleonora Musharbash
In this paper we propose a dynamical low-rank strategy for the approximation of second order wave equations with random parameters. The governing equation is rewritten in Hamiltonian form and the approximate solution is expanded over a set of dynamica ...
2017MATHICSE Technical Report : Symplectic dynamical low rank approximation of wave equations with random parameters
Fabio Nobile, Eleonora Musharbash, Eva Vidlicková
In this paper we propose a dynamical low-rank strategy for the approximation of second order wave equations with random parameters. The governing equation is rewritten in Hamiltonian form and the approximate solution is expanded over a set of 2S dynamical ...
MATHICSE2017Single cell isolation process with laser induced forward transfer
Philippe Renaud, Yu Deng, Ying Chen
Background A viable single cell is crucial for studies of single cell biology. In this paper, laser-induced forward transfer (LIFT) was used to isolate individual cell with a closed chamber designed to avoid contamination and maintain humidity. Hela cells ...
Biomed Central Ltd2017Gas Sampling Using Convection and Humidity Stabilization to Improve Point Gas Sensor Responses
Many diseases including sick building syndrome, respiratory problems and cancers can be caused by exposure to high concentrations of toxins commonly used in modern building materials, paints, glues and furniture. To minimize exposure to these toxins, it is ...
EPFL2016Embeddings Of Maximal Tori In Orthogonal Groups
We give necessary and sufficient conditions for an orthogonal group defined over a global field of characteristic not equal 2 to contain a maximal torus of a given type. ...
Annales Inst Fourier2014