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Publications associées (32)
Stripping the Swiss discount curve using kernel ridge regression
We analyze and implement the kernel ridge regression (KR) method developed in Filipovic et al. (Stripping the discount curve-a robust machine learning approach. Swiss Finance Institute Research Paper No. 22-24. SSRN. https://ssrn.com/abstract=4058150, 2022 ...
Springer Heidelberg2024Computational conceptual design — typological exploration of spatial truss systems through optimization
Corentin Jean Dominique Fivet, Pierluigi D'Acunto, Jonas Warmuth
Exploring a wide range of design options is crucial for every sound conceptual design process. In the conventional structural design workflow, optimization techniques are generally employed to generate well-performing design options. However, focusing only ...
International Association for Shell and Spatial Structures (IASS)2023Discriminative clustering with representation learning with any ratio of labeled to unlabeled data
We present a discriminative clustering approach in which the feature representation can be learned from data and moreover leverage labeled data. Representation learning can give a similarity-based clustering method the ability to automatically adapt to an ...
2022Efficient algorithms for wave problems
Wave phenomena manifest in nature as electromagnetic waves, acoustic waves, and gravitational waves among others.Their descriptions as partial differential equations in electromagnetics, acoustics, and fluid dynamics are ubiquitous in science and engineeri ...
EPFL2021Decreasing the Stability of Borohydride with Ionic Liquids for Hydrogen Storage and Carbon Dioxide Conversion
The world needs to move from a fossil fuel to a renewable energy based society. With the increasing electricity production from wind and PV, short and long term energy storage are becoming one of challenge of the 21st century. While batteries are the prefe ...
EPFL2021Efficient second-order methods for model compression
Second-order information, in the form of Hessian- or Inverse-Hessian-vector products, is a fundamental tool for solving optimization problems. Recently, there has been a tremendous amount of work on utilizing this information for the current compute and me ...
2020CoWriting Kazakh: Learning a New Script with a Robot
Pierre Dillenbourg, Thibault Lucien Christian Asselborn, Wafa Monia Benkaouar Johal
In the Republic of Kazakhstan, the transition from Cyrillic to Latin alphabet raises challenges to training an entire population in writing the new script. This paper presents a CoWriting Kazakh system, an extension of the existing CoWriter system, aiming ...
Association for Computing Machinery2020MATHICSE Technical Report : Efficient state/Parameter estimation in nonlinear unsteady PDEs by reduced basis ensemble Kalman filter
Alfio Quarteroni, Andrea Manzoni, Stefano Pagani
The ensemble Kalman filter is a computationally efficient technique to solve state and/or parameter estimation problems in the framework of statistical inversion when relying on a Bayesian paradigm. Unfortunately its cost may become moderately large for sy ...
MATHICSE2019Reduced Numerical Approximation of Reduced Fluid-Structure Interaction Problems With Applications in Hemodynamics
Simone Deparis, Claudia Maria Colciago
This paper deals with fast simulations of the hemodynamics in large arteries by considering a reduced model of the associated fluid-structure interaction problem, which in turn allows an additional reduction in terms of the numerical discretisation. The re ...
2018Method for the electrical passivation of electrode arrays and/or conductive paths in general, and a method for producing stretchable electrode arrays and/or stretchable conductive paths in general
Stéphanie Lacour, Ivan Rusev Minev
A method produces a conductive paste comprising 15-20% by weight of PDMS and 80-85% by weight of metallic micro-nano particles, wherein the conductive paste is obtained by repeated addition of singular doses of PDMS to a heptane diluted PDMS low viscosity ...
2017