Publications

node2vec

Prediction tasks over nodes and edges in networks require careful effort in engineering features used by learning algorithms. Recent research in the broader field of representat...

Low-density parity-check codes

A low-density parity-check code is a code specified by a parity-check matrix with the following properties: each column contains a small fixed number <tex xmlns:mml="http://www....

Enzymatic assembly of DNA molecules up to several hundred kilobases

Learning Deep Features for Discriminative Localization

In this work, we revisit the global average pooling layer proposed in [13], and shed light on how it explicitly enables the convolutional neural network (CNN) to have remarkable...

Design and validation of a histological scoring system for nonalcoholic fatty liver disease†

Nonalcoholic fatty liver disease (NAFLD) is characterized by hepatic steatosis in the absence of a history of significant alcohol use or other known liver disease. Nonalcoholic ...

Ad-hoc on-demand distance vector routing

An ad-hoc network is the cooperative engagement of acollection of mobile nodes without the required intervention of any centralizedaccess point or existing infrastructure. In th...

SExtractor: Software for source extraction

International audience

Polymer Photovoltaic Cells: Enhanced Efficiencies via a Network of Internal Donor-Acceptor Heterojunctions

The carrier collection efficiency (η c ) and energy conversion efficiency (η e ) of polymer photovoltaic cells were improved by blending of the semiconducting polymer with C 60 ...

Consensus and Cooperation in Networked Multi-Agent Systems

<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> This paper provides a theoretical framework for analysis of consensus algorithms...

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

Most current speech recognition systems use hidden Markov models (HMMs) to deal with the temporal variability of speech and Gaussian mixture models (GMMs) to determine how well ...

Wireless Communications

Wireless technology is a truly revolutionary paradigm shift, enabling multimedia communications between people and devices from any location. It also underpins exciting applicat...

Object Detection with Discriminatively Trained Part-Based Models

We describe an object detection system based on mixtures of multiscale deformable part models. Our system is able to represent highly variable object classes and achieves state-...