Publications related to A Learning-Based Framework for Quantized Compressed Sensing

Sparse Recovery of Strong Reflectors With an Application to Non-Destructive Evaluation

Jean-Philippe Thiran, Martin Vetterli, Dimitris Perdios, Eric Bezzam, Adrien Besson, Hanjie Pan

In this paper we show that it is sufficient to recover the locations of K strong reflectors within an insonified medium from three receive elements and 2K+1 samples per element. The proposed approach leverages advances in sampling signals with a finite rat ...

IEEE2018

Geology Basics for Engineers

Aurèle Parriaux

Geology – Basics for Engineers (second edition) presents the physical and chemical characteristics of the Earth, the nature and the properties of rocks and unconsolidated deposits/sediments, the action of water, how the Earth is transformed by various phen ...

CRC Press2018

Safe Adaptive Importance Sampling

Martin Jaggi, Sebastian Urban Stich, Anant Raj

Importance sampling has become an indispensable strategy to speed up optimization algorithms for large-scale applications. Improved adaptive variants - using importance values defined by the complete gradient information which changes during optimization - ...

2017

Just Sort It! A Simple and Effective Approach to Active Preference Learning

Matthias Grossglauser, Lucas Maystre

We address the problem of learning a ranking by using adaptively chosen pairwise comparisons. Our goal is to recover the ranking accurately but to sample the comparisons sparingly. If all comparison outcomes are consistent with the ranking, the optimal sol ...

2017

Compressive Spectral Clustering

Pierre Vandergheynst, Rémi Gribonval, Gilles Puy, Nicolas Tremblay

Spectral clustering has become a popular technique due to its high performance in many contexts. It comprises three main steps: create a similarity graph between N objects to cluster, compute the first k eigenvectors of its Laplacian matrix to define a fea ...

2016

Shapes from Pixels

Mitra Fatemi

In today's digital world, sampling is at the heart of any signal acquisition device. Imaging devices are ubiquitous examples that capture two-dimensional visual signals and store them as the pixels of discrete images. The main concern is whether and how th ...

EPFL2016

An Algorithm for Formation-Based Chemical Plume Tracing Using Robotic Marine Vehicles

Alcherio Martinoli, Jorge Miguel Dias Almeida Rodrigues Soares, António Pedro Rodrigues de Aguiar

Robotic chemical plume tracing is a growing area of research, with envisioned real-world applications including pollution tracking, search and rescue, and ecosystem identification. However, following a chemical signal in the water is not an easy task due t ...

IEEE2016

Random sampling of bandlimited signals on graphs

Pierre Vandergheynst, Rémi Gribonval, Gilles Puy, Nicolas Tremblay

We study the problem of sampling

k

-bandlimited signals on graphs. We propose two sampling strategies that consist in selecting a small subset of nodes at random. The first strategy is non-adaptive, \ie, independent of the graph structure, and its perform ...

2015

Too much success for recent groundbreaking epigenetic experiments

Gregory Francis

An article reporting statistical evidence for epigenetic transfer of learned behavior has important implications, if true. With random sampling, real effects do not always result in rejection of the null hypothesis, but the reported experiments were unifor ...

Genetics Society of America2014

Sampling based on timing: Time encoding machines on shift-invariant subspaces

Martin Vetterli, David Gontier

Sampling information using timing is an approach that has received renewed attention in sampling theory. The question is how to map amplitude information into the timing domain. One such encoder, called time encoding machine, was introduced by Lazar and To ...

Elsevier2014

A Learning-Based Framework for Quantized Compressed Sensing

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Sparse Recovery of Strong Reflectors With an Application to Non-Destructive Evaluation

Geology Basics for Engineers

Safe Adaptive Importance Sampling

Just Sort It! A Simple and Effective Approach to Active Preference Learning

Compressive Spectral Clustering

Shapes from Pixels

An Algorithm for Formation-Based Chemical Plume Tracing Using Robotic Marine Vehicles

Random sampling of bandlimited signals on graphs

Too much success for recent groundbreaking epigenetic experiments

Sampling based on timing: Time encoding machines on shift-invariant subspaces

Geology Basics for Engineers

Safe Adaptive Importance Sampling

Just Sort It! A Simple and Effective Approach to Active Preference Learning

Compressive Spectral Clustering

Shapes from Pixels

Random sampling of bandlimited signals on graphs

Sparse Recovery of Strong Reflectors With an Application to Non-Destructive Evaluation

Sampling based on timing: Time encoding machines on shift-invariant subspaces

An Algorithm for Formation-Based Chemical Plume Tracing Using Robotic Marine Vehicles

Too much success for recent groundbreaking epigenetic experiments