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Shortest-support multi-spline bases for generalized sampling

Publications associées (28)

Frequency domain data-driven robust and optimal control

The goal of this thesis is to propose pragmatic solutions to real challenges faced in the industry. The scope of this thesis encompasses two subjects: frequency-based structured controller synthesis for linear time-invariant (LTI) systems on one side, and ...

EPFL2024

Gibbs sampling the posterior of neural networks

Lenka Zdeborová, Emanuele Troiani, Giovanni Piccioli

In this paper, we study sampling from a posterior derived from a neural network. We propose a new probabilistic model consisting of adding noise at every pre- and post-activation in the network, arguing that the resulting posterior can be sampled using an ...

Iop Publishing Ltd2024

Graph generative deep learning models with an application to circuit topologies

Igor Krawczuk

Modern integrated circuits are tiny yet incredibly complex technological artifacts, composed of millions and billions of individual structures working in unison. Managing their complexity and facilitating their design drove part of the co-evolution of mode ...

EPFL2024

Data-driven IQC-Based Robust Control Design for Hybrid Micro-disturbance Isolation Platform

Alireza Karimi, Vaibhav Gupta, Elias Sebastian Klauser

A novel approach for robust controller synthesis, which models uncertainty as an elliptical set, is proposed in the paper. Given a set of frequency response functions of linear time-invariant (LTI) multiple-input multiple-output (MIMO) systems, the approac ...

IEEE2023

Center-aware Adversarial Augmentation for Single Domain Generalization

Mathieu Salzmann, Zhiye Wang

Domain generalization (DG) aims to learn a model from multiple training (i.e., source) domains that can generalize well to the unseen test (i.e., target) data coming from a different distribution. Single domain generalization (SingleDG) has recently emerge ...

IEEE COMPUTER SOC2023

Achieving Optimal Performance With Data-Driven Frequency-Based Control Synthesis Methods

Alireza Karimi, Philippe Louis Schuchert

Frequency Response Function (FRF)-based control synthesis methods for Linear Time-Invariant (LTI) systems have been widely used in control theory and industry. Recently, there has been renewed interest in these methods, employing numerical optimization too ...

Ieee-Inst Electrical Electronics Engineers Inc2023

A neural probe to sample brain fluid in nanoliter volumes for quantitative molecular studies

Joan Teixidor

Neural functions operate in tightly controlled conditions that are mediated by multiple electrical and chemical phenomena. Brain disorders such as Parkinson's Disease and Alzheimer's Disease perturb these conditions and cause a loss of neurons, which impai ...

EPFL2022

A mathematical theory for mass lumping and its generalization with applications to isogeometric analysis

Annalisa Buffa, Espen Sande, Yannis Dirk Voet

Explicit time integration schemes coupled with Galerkin discretizations of time-dependent partial differential equations require solving a linear system with the mass matrix at each time step. For applications in structural dynamics, the solution of the li ...

2023

Mesh d-refinement: a data-based computational framework to account for complex material response

Jean-François Molinari, Antonio Joaquin Garcia Suarez, Sacha Zenon Wattel

Model-free data-driven computational mechanics (DDCM) is a new paradigm for simulations in solid mechanics. The modeling step associated to the definition of a material constitutive law is circumvented through the introduction of an abstract phase space in ...

2023

Shortest-support multi-spline bases for generalized sampling

Frequency domain data-driven robust and optimal control

Gibbs sampling the posterior of neural networks

Graph generative deep learning models with an application to circuit topologies

Data-driven IQC-Based Robust Control Design for Hybrid Micro-disturbance Isolation Platform

Center-aware Adversarial Augmentation for Single Domain Generalization

Achieving Optimal Performance With Data-Driven Frequency-Based Control Synthesis Methods

A neural probe to sample brain fluid in nanoliter volumes for quantitative molecular studies

A mathematical theory for mass lumping and its generalization with applications to isogeometric analysis

Mesh d-refinement: a data-based computational framework to account for complex material response

Graph Chatbot

Frequency domain data-driven robust and optimal control

Gibbs sampling the posterior of neural networks

Graph generative deep learning models with an application to circuit topologies

Data-driven IQC-Based Robust Control Design for Hybrid Micro-disturbance Isolation Platform

Center-aware Adversarial Augmentation for Single Domain Generalization

Achieving Optimal Performance With Data-Driven Frequency-Based Control Synthesis Methods

HP - A code for the calculation of Hubbard parameters using density-functional perturbation theory

A neural probe to sample brain fluid in nanoliter volumes for quantitative molecular studies

A mathematical theory for mass lumping and its generalization with applications to isogeometric analysis

Mesh d-refinement: a data-based computational framework to account for complex material response

HP - A code for the calculation of Hubbard parameters using density-functional perturbation theory