Publications related to An integral-equation technique for solving thick irises in rectangular waveguides

Neural Tanget Kernel: Convergence and Generalization in Neural Networks

At initialization, artificial neural networks (ANNs) are equivalent to Gaussian processes in the infinite-width limit [12, 9], thus connecting them to kernel methods. We prove that the evolution of an ANN during training can also be described by a kernel: ...

NEURAL INFORMATION PROCESSING SYSTEMS (NIPS)2018

A kernel compression scheme for fractional differential equations

Jan Sickmann Hesthaven, Daniel Henri Baffet

The nonlocal nature of the fractional integral makes the numerical treatment of fractional dierential equations expensive in terms of computational eort and memory requirements. In this paper we propose a method to reduce these costs while controlling the ...

Society for Industrial and Applied Mathematics2017

Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization

Volkan Cevher, Jonathan Mark Scarlett, Ilija Bogunovic

In this paper, we consider the problem of sequentially optimizing a black-box function

f

based on noisy samples and bandit feedback. We assume that

f

is smooth in the sense of having a bounded norm in some reproducing kernel Hilbert space (RKHS), yield ...

2017

W-Band Waveguide Filters Fabricated by Laser Micromachining and 3-D Printing

Emile Jacques de Rijk, Mathieu Billod, Cheng Guo

This paper presents two W-band waveguide bandpass filters, one fabricated using laser micromachining and the other 3-D printing. Both filters are based on coupled resonators and are designed to have a Chebyshev response. The first filter is for laser micro ...

Ieee-Inst Electrical Electronics Engineers Inc2016

A New Formulation of the Cooray-Rubinstein Expression in Time Domain

In this paper, a new formulation in the time domain of the Cooray-Rubinstein expression is presented. This new formulation overcomes the problems related to the previous formulation: The Dirac pulse contained in the kernel of the previous formulation is ex ...

Ieee-Inst Electrical Electronics Engineers Inc2015

Nanostructure Symmetry: Relevance for Physics and Computing

Marc-André Dupertuis, Daniel Oberli, Benjamin Gallinet, Sascha Dalessi

We review the research done in recent years in our group on the effects of nanostructure symmetry, and outline its relevance both for nanostructure physics and for computations of their electronic and optical properties. The exemples of C3v and C2v quantum ...

Amer Inst Physics2014

Light spectral filtering based on spatial adiabatic passage

Victor Javier Cadarso Busto

We present the first experimental realization of a light spectral filter based on the spatial adiabatic passage technique. We demonstrate that a fully integrable CMOS-compatible system of three coupled identical total internal reflection silicon oxide wave ...

Nature Publishing Group2013

Enhanced change detection using nonlinear feature extraction

Devis Tuia, Giona Matasci

This paper presents an application of the kernel principal component analysis aiming at aligning optical images before the application of change detection techniques. The approach relies on the extraction of nonlinear features from a selected subset of pix ...

2012

Filter Learning for Linear Structure Segmentation

Pascal Fua, Engin Türetken, Vincent Lepetit, Germán González Serrano, Roberto Rigamonti

We introduce an approach to learning convolution filters whose joint output can be fed to a classifier that labels them as belonging to linear structures or not. The filters are learned using sparse synthesis techniques but we show that enforcing constrain ...

2011

Electromagnetic Modelling of Planar Circuits Embedded in Laterally Shielded Multilayered Media

Laleh Golestanirad

Multilayered media with printed circuits embedded between their dielectric layers are one of the most successful technologies for manufacturing planar structures with a very promising performance-to-price ratio. These planar structures include many differe ...

EPFL2011

An integral-equation technique for solving thick irises in rectangular waveguides

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Neural Tanget Kernel: Convergence and Generalization in Neural Networks

A kernel compression scheme for fractional differential equations

Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization

W-Band Waveguide Filters Fabricated by Laser Micromachining and 3-D Printing

A New Formulation of the Cooray-Rubinstein Expression in Time Domain

Nanostructure Symmetry: Relevance for Physics and Computing

Light spectral filtering based on spatial adiabatic passage

Enhanced change detection using nonlinear feature extraction

Filter Learning for Linear Structure Segmentation

Electromagnetic Modelling of Planar Circuits Embedded in Laterally Shielded Multilayered Media

A New Formulation of the Cooray-Rubinstein Expression in Time Domain

Enhanced change detection using nonlinear feature extraction

Neural Tanget Kernel: Convergence and Generalization in Neural Networks

Light spectral filtering based on spatial adiabatic passage

Nanostructure Symmetry: Relevance for Physics and Computing

Electromagnetic Modelling of Planar Circuits Embedded in Laterally Shielded Multilayered Media

W-Band Waveguide Filters Fabricated by Laser Micromachining and 3-D Printing

Filter Learning for Linear Structure Segmentation

A kernel compression scheme for fractional differential equations

Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization