Publications related to Lattice filter interpretations of the Chandrasekhar recursions for estimation and spectral factorization

Uncertainty and sensitivity analysis of PWR mini-core transients in the presence of nuclear data uncertainty using non-parametric tolerance limits

Andreas Pautz, Winfried Zwermann, Alexander Aures

The impact of nuclear data uncertainties is studied for the reactor power and the reactivity during control rod withdrawal transients with reactivity insertions of 0.5

and 0.97

, respectively, for a PWR mini-core model. Multi-group cross sections, the mul ...

PERGAMON-ELSEVIER SCIENCE LTD2020

Interactive Generation of Calligraphic Trajectories from Gaussian Mixtures

Sylvain Calinon

The chapter presents an approach for the interactive definition of curves and motion paths based on Gaussian mixture model (GMM) and optimal control. The input of our method is a mixture of multivariate Gaussians defined by the user, whose centers define a ...

Springer2019

Analysis and Comparison of Notch Filter and Capacitor Voltage Feedforward Active Damping Techniques for LCL Grid-Connected Converters

Francisco Daniel Freijedo Fernández, Enrique Rodriguez Diaz

The use of LCL filters is a well-accepted solution to attenuate the harmonics created by the pulsewidth modulation. However, inherently LCL filters have a resonance region where the unwanted harmonics are amplified, which can compromise stability. Several ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2019

Procrustes Metrics and Optimal Transport for Covariance Operators

Valentina Masarotto

Covariance operators play a fundamental role in functional data analysis, providing the canonical means to analyse functional variation via the celebrated Karhunen-Loève expansion. These operators may themselves be subject to variation, for instance in con ...

EPFL2019

Revealing evolutionary constraints on proteins through sequence analysis

Anne-Florence Raphaëlle Bitbol

Statistical analysis of alignments of large numbers of protein sequences has revealed sectors of collectively coevolving amino acids in several protein families. Here, we show that selection acting on any functional property of a protein, represented by an ...

2019

Graph Laplacians for Rotation Equivariant Convolutional Neural Networks

Martino Milani

A fundamental problem in signal processing is to design computationally efficient algorithms to filter signals. In many applications, the signals to filter lie on a sphere. Meaningful examples of data of this kind are weather data on the Earth, or images o ...

2019

Procrustes Metrics on Covariance Operators and Optimal Transportation of Gaussian Processes

Victor Panaretos, Yoav Zemel, Valentina Masarotto

Covariance operators are fundamental in functional data analysis, providing the canonical means to analyse functional variation via the celebrated Karhunen-Loeve expansion. These operators may themselves be subject to variation, for instance in contexts wh ...

2019

Functional Data Analysis By Matrix Completion1

Victor Panaretos, Marie-Hélène Descary

Functional data analyses typically proceed by smoothing, followed by functional PCA. This paradigm implicitly assumes that rough variation is due to nuisance noise. Nevertheless, relevant functional features such as time-localised or short scale fluctuatio ...

INST MATHEMATICAL STATISTICS2019

Idiap submission to the NIST SRE 2019 Speaker Recognition Evaluation

Sébastien Marcel, Petr Motlicek

Idiap has made a submission to the conversational telephony speech (CTS) challenge of the NIST SRE 2019. The submission consists of six speaker verification (SV) systems: four extended TDNN (E-TDNN) and two TDNN x-vector systems. Employment of various trai ...

Idiap2019

Fast hierarchical solvers for symmetric eigenvalue problems

Ana Susnjara

In this thesis we address the computation of a spectral decomposition for symmetric banded matrices. In light of dealing with large-scale matrices, where classical dense linear algebra routines are not applicable, it is essential to design alternative tech ...

EPFL2018

Lattice filter interpretations of the Chandrasekhar recursions for estimation and spectral factorization

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Uncertainty and sensitivity analysis of PWR mini-core transients in the presence of nuclear data uncertainty using non-parametric tolerance limits

Interactive Generation of Calligraphic Trajectories from Gaussian Mixtures

Analysis and Comparison of Notch Filter and Capacitor Voltage Feedforward Active Damping Techniques for LCL Grid-Connected Converters

Procrustes Metrics and Optimal Transport for Covariance Operators

Revealing evolutionary constraints on proteins through sequence analysis

Graph Laplacians for Rotation Equivariant Convolutional Neural Networks

Procrustes Metrics on Covariance Operators and Optimal Transportation of Gaussian Processes

Functional Data Analysis By Matrix Completion1

Idiap submission to the NIST SRE 2019 Speaker Recognition Evaluation

Fast hierarchical solvers for symmetric eigenvalue problems

Uncertainty and sensitivity analysis of PWR mini-core transients in the presence of nuclear data uncertainty using non-parametric tolerance limits

Interactive Generation of Calligraphic Trajectories from Gaussian Mixtures

Procrustes Metrics and Optimal Transport for Covariance Operators

Revealing evolutionary constraints on proteins through sequence analysis

Graph Laplacians for Rotation Equivariant Convolutional Neural Networks

Procrustes Metrics on Covariance Operators and Optimal Transportation of Gaussian Processes

Functional Data Analysis By Matrix Completion1

Fast hierarchical solvers for symmetric eigenvalue problems

Analysis and Comparison of Notch Filter and Capacitor Voltage Feedforward Active Damping Techniques for LCL Grid-Connected Converters

Idiap submission to the NIST SRE 2019 Speaker Recognition Evaluation