
Reconstructing Natural Scenes from fMRI Patterns using BigBiGAN
Decoding and reconstructing images from brain imaging data is a research...
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Predicting the Factuality of Reporting of News Media Using Observations About User Attention in Their YouTube Channels
We propose a novel framework for predicting the factuality of reporting ...
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Representation Learning using Eventbased STDP
Although representation learning methods developed within the framework ...
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STDP allows closetooptimal spatiotemporal spike pattern detection by single coincidence detector neurons
By recording multiple cells simultaneously, electrophysiologists have fo...
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Firstspike based visual categorization using rewardmodulated STDP
Reinforcement learning (RL) has recently regained popularity, with major...
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DAMNED: A Distributed and Multithreaded Neural EventDriven simulation framework
In a Spiking Neural Networks (SNN), spike emissions are sparsely and irr...
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Object categorization in finer levels requires higher spatial frequencies, and therefore takes longer
The human visual system contains a hierarchical sequence of modules that...
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Cmix: a high dimensional mixture model for censored durations, with applications to genetic data
We introduce a mixture model for censored durations (Cmix), and develop...
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Human Action Recognition: Posebased Attention draws focus to Hands
We propose a new spatiotemporal attention based mechanism for human act...
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STDPbased spiking deep convolutional neural networks for object recognition
Previous studies have shown that spiketimingdependent plasticity (STDP...
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The bagofframes approach: a not so sufficient model for urban soundscapes
The "bagofframes" approach (BOF), which encodes audio signals as the l...
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Probabilistic lowrank matrix completion on finite alphabets
The task of reconstructing a matrix given a sample of observedentries is...
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Opportunistic Adaptation Knowledge Discovery
Adaptation has long been considered as the Achilles' heel of casebased ...
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Sparsity by WorstCase Penalties
This paper proposes a new interpretation of sparse penalties such as the...
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Sparse Geometric Representation Through Local Shape Probing
We propose a new shape analysis approach based on the nonlocal analysis...
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Machine Assisted Analysis of Vowel Length Contrasts in Wolof
Growing digital archives and improving algorithms for automatic analysis...
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A Novel Bilingual Word Embedding Method for Lexical Translation Using Bilingual Sense Clique
Most of the existing methods for bilingual word embedding only consider ...
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Scientific notations for the digital era
Computers have profoundly changed the way scientific research is done. W...
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Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points
We propose a method for human activity recognition from RGB data which d...
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Optimal localist and distributed coding of spatiotemporal spike patterns through STDP and coincidence detection
Repeating spatiotemporal spike patterns exist and carry information. Her...
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Biological and ShortestPath Routing Procedures for Transportation Network Design
The design of efficient transportation networks is an important challeng...
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Combining STDP and RewardModulated STDP in Deep Convolutional Spiking Neural Networks for Digit Recognition
The primate visual system has inspired the development of deep artificia...
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Analyzing astronomical data with Apache Spark
We investigate the performances of Apache Spark, a cluster computing fra...
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Deep Learning in Spiking Neural Networks
Deep learning approaches have shown remarkable performance in many areas...
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Universality in Freezing Cellular Automata
Cellular Automata have been used since their introduction as a discrete ...
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Polynomial data compression for largescale physics experiments
The new generation research experiments will introduce huge data surge t...
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XSearch: Revisiting Private Web Search using Intel SGX
The exploitation of user search queries by search engines is at the hear...
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Unification and Logarithmic Space
We present an algebraic characterization of the complexity classes Logsp...
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On the rate of convergence of empirical barycentres in metric spaces: curvature, convexity and extendible geodesics
This paper provides rates of convergence for empirical barycentres of a ...
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SelfMotion of the 3PPPS Parallel Robot with DeltaShaped Base
This paper presents the kinematic analysis of the 3PPPS parallel robot ...
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Convergence rates for empirical barycenters in metric spaces: curvature, convexity and extendible geodesics
This paper provides rates of convergence for empirical barycenters of a ...
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Collective Matrix Completion
Matrix completion aims to reconstruct a data matrix based on observation...
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Binacox: automatic cutpoints detection in highdimensional Cox model, with applications to genetic data
Determining significant prognostic biomarkers is of increasing importanc...
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GoHEP: writing concurrent software with ease and Go
High Energy and Nuclear Physics (HENP) libraries are now required to be ...
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Undecidable word problem in subshift automorphism groups
This article studies the complexity of the word problem in groups of aut...
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Extended playing techniques: The next milestone in musical instrument recognition
The expressive variability in producing a musical note conveys informati...
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QuasarNET: Humanlevel spectral classification and redshifting with Deep Neural Networks
We introduce QuasarNET, a deep convolutional neural network that perform...
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Bayesian quadrature and energy minimization for spacefilling design
A standard objective in computer experiments is to approximate the behav...
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Bregman divergences based on optimal design criteria and simplicial measures of dispersion
In previous work the authors defined the kth order simplicial distance ...
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CrystalGAN: Learning to Discover Crystallographic Structures with Generative Adversarial Networks
Our main motivation is to propose an efficient approach to generate nove...
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Fast Computation of GenomeMetagenome Interaction Effects
Motivation:Association studies usually search for association between co...
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A CNN adapted to time series for the classification of Supernovae
Cosmologists are facing the problem of the analysis of a huge quantity o...
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Firefighting on Trees
In the Firefighter problem, introduced by Hartnell in 1995, a fire sprea...
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Expansive Automata Networks
An Automata Network is a map f:Q^n→ Q^n where Q is a finite alphabet. It...
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Maximum Likelihood Estimation of Sparse Networks with Missing Observations
Estimating the matrix of connections probabilities is one of the key que...
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SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks with at most one Spike per Neuron
Application of deep convolutional spiking neural networks (SNNs) to arti...
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A biologically constrained encoding solution for longterm storage of images onto synthetic DNA
Living in the age of the digital media explosion, the amount of data tha...
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On popularitybased random matching markets
Stable matching in a community consisting of N men and N women is a clas...
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Scaling limits for random triangulations on the torus
We study the scaling limit of essentially simple triangulations on the t...
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Bluenoise sampling for human retinal cone spatial distribution modeling
This paper proposes a novel method for modeling human retinal cone distr...
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CNRS
The French National Center for Scientific Research is the largest governmental research organisation in France and the largest fundamental science agency in Europe.