Publications related to Topology classification with deep learning to improve real-time event selection at the LHC

Approximate Steepest Coordinate Descent

Martin Jaggi, Sebastian Urban Stich, Anant Raj

We propose a new selection rule for the coordinate selection in coordinate descent methods for huge-scale optimization. The efficiency of this novel scheme is provably better than the efficiency of uniformly random selection, and can reach the efficiency o ...

PMLR2017

Measuring the effect of nuisance variables on classifiers

Pascal Frossard, Alhussein Fawzi

In real-world classification problems, nuisance variables can cause wild variability in the data. Nuisance corresponds for example to geometric distortions of the image, occlusions, illumination changes or any other deformations that do not alter the groun ...

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

Influence of loading history on mechanical properties of biomaterials

Tom Charles Maurice Walet

It is known that the mechanical response to load or displacement of a biological tissue can highly vary from one cycle to the next. Therefore, in order to establish a reference state for repeating data measurements, tissues are subjected to a preliminary s ...

2016

On Selection of Samples in Algebraic Attacks and a New Technique to Find Hidden Low Degree Equations

Serge Vaudenay, Pouyan Sepehrdad, Petr Susil

The best way of selecting samples in algebraic attacks against block ciphers is not well explored and understood. We introduce a simple strategy for selecting the plaintexts and demonstrate its strength by breaking reduced-round KATAN, LBLOCK and SIMON. Fo ...

Springer Verlag2016

Polariton interactions in semiconductor microcavities

Benoît Marie Joseph Deveaud

In this review, we will try to summarize the results that we have obtained on the measurement of polariton interactions. We will describe here the samples, the experimental systems and some of the important results. We will also give a few highlights on th ...

Elsevier2016

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

Search for the process e(+)e(-) -> J/psi X(1835) at root s approximate to 10.6 GeV

Jian Wang, Olivier Schneider, Chao Wang, Tagir Aushev, Ji Hyun Kim, Donghyun Kim, Dipanwita Dutta

We report the results of a search for the X(1835) state in the process e(+)e(-) -> J/psi X(1835) using a data sample of 672 fb(-1) collected with the Belle detector at and near the Upsilon(4S) resonance at the KEKB asymmetric-energy e(+)e(-) collider. No s ...

Amer Physical Soc2014

SVM Active Learning Approach for Image Classification Using Spatial Information

Devis Tuia

In the last few years, active learning has been gaining growing interest in the remote sensing community in optimizing the process of training sample collection for supervised image classification. Current strategies formulate the active learning problem i ...

Ieee-Inst Electrical Electronics Engineers Inc2014

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

Topology classification with deep learning to improve real-time event selection at the LHC

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Approximate Steepest Coordinate Descent

Measuring the effect of nuisance variables on classifiers

Shapes from Pixels

Influence of loading history on mechanical properties of biomaterials

On Selection of Samples in Algebraic Attacks and a New Technique to Find Hidden Low Degree Equations

Polariton interactions in semiconductor microcavities

Random sampling of bandlimited signals on graphs

Search for the process e(+)e(-) -> J/psi X(1835) at root s approximate to 10.6 GeV

SVM Active Learning Approach for Image Classification Using Spatial Information

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

Measuring the effect of nuisance variables on classifiers

Approximate Steepest Coordinate Descent

Random sampling of bandlimited signals on graphs

Polariton interactions in semiconductor microcavities

Influence of loading history on mechanical properties of biomaterials

Search for the process e(+)e(-) -> J/psi X(1835) at root s approximate to 10.6 GeV

Shapes from Pixels

On Selection of Samples in Algebraic Attacks and a New Technique to Find Hidden Low Degree Equations

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

SVM Active Learning Approach for Image Classification Using Spatial Information