Concept

Space mapping

Related publications (30)

Fast prediction and evaluation of gravitational waveforms using surrogate models

We propose a solution to the problem of quickly and accurately predicting gravitational waveforms within any given physical model. The method is relevant for both real-time applications and in more traditional scenarios where the generation of waveforms us ...

American Physical Society2014

Integrating Rate Based Models into a Multi-Objective Process Design & Optimisation Framework using Surrogate Models

Levent Sinan Teske

In the development of energy and chemical processes, the process engineers extensively apply computer aided methods to design & optimise these processes and corresponding process units. Such applications are multi-scale modelling and multi-objective optimi ...

EPFL2014

KL-based Control of the Learning Schedule for Surrogate Black-Box Optimization

Ilya Loshchilov

This paper investigates the control of an ML component within the Covariance Matrix Adaptation Evolution Strategy (CMA-ES) devoted to black-box optimization. The known CMA-ES weakness is its sample complexity, the number of evaluations of the objective fun ...

2013

Complementary Germanium Electron-Hole Bilayer Tunnel FET for Sub-0.5-V Operation

Mihai Adrian Ionescu, Luca De Michielis, Livio Lattanzio

In this paper we present a novel device, the Germanium Electron-Hole Bilayer Tunnel FET (Ge EHBTFET), which exploits carrier tunneling through a bias-induced electron-hole bilayer. The proposed architecture provides a quasi-ideal alignment between the tunn ...

2012

Simplified models for LHC new physics searches

Roberto Franceschini, Tao Liu, Jing Shu, Tao Han, Yue Zhao, Yang Bai

This document proposes a collection of simplified models relevant to the design of new-physics searches at the Large Hadron Collider (LHC) and the characterization of their results. Both ATLAS and CMS have already presented some results in terms of simplif ...

Iop Publishing Ltd2012

Black-box optimization benchmarking of IPOP-saACM-ES on the BBOB-2012 noisy testbed

Ilya Loshchilov

In this paper, we study the performance of IPOP-saACM-ES, recently proposed self-adaptive surrogate-assisted Covariance Matrix Adaptation Evolution Strategy. The algorithm was tested using restarts till a total number of function evaluations of 10^6D was r ...

2012

AdS/QCD: the relevance of the geometry

Andrea Wulzer, Michele Redi, Diego Becciolini

We investigate the relevance of the metric and of the geometry in five-dimensional models of hadrons. Generically, the metric does not affect strongly the results and even flat space agrees reasonably well with the data. Nevertheless, we observe a preferen ...

2010

A Mono Surrogate for Multiobjective Optimization

Ilya Loshchilov

Most surrogate approaches to multi-objective optimization build a surrogate model for each objective. These surrogates can be used inside a classical Evolutionary Multiobjective Optimization Algorithm (EMOA) in lieu of the actual objectives, without modify ...

2010

A Pareto-Compliant Surrogate Approach for Multiobjective Optimization

Ilya Loshchilov

This paper discusses the idea of using a single Pareto-compliant surrogate model for multiobjective optimization. While most surrogate approaches to multi-objective optimization build a surrogate model for each objective, the recently proposed mono surroga ...

2010

Empirical Corrections to Density Functional Theory Highlight the Importance of Nonbonded Intramolecular Interactions in Alkanes

Matthew Wodrich, Daniel Filipe Dos Santos Alves Jana

Energies of alkanes computed with many popular and even newer density functionals are flawed by systematic errors, which become considerable with larger molecules. The same energies, however, are well described by post-Hartree-Fock methods. Similar DFT sho ...

2008

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