
A Comparison of Uncertainty Estimation Approaches in Deep Learning Components for Autonomous Vehicle Applications
A key to ensuring safety in Autonomous Vehicles (AVs) is to avoid any ab...
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ScaIL: Classifier Weights Scaling for Class Incremental Learning
Incremental learning is useful if an AI agent needs to integrate data fr...
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A MultipleView Geometric Model for Specularity Prediction on NonUniformly Curved Surfaces
Specularity prediction is essential to many computer vision applications...
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CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators
The topic of provable deep neural network robustness has raised consider...
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Unveiling RealLife Effects of Online Photo Sharing
Social networks give free access to their services in exchange for the r...
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Deep multitask mining CalabiYau fourfolds
We continue earlier efforts in computing the dimensions of tangent space...
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Static Analysis of Communicating Processes using Symbolic Transducers
We present a general model allowing static analysis based on abstract in...
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Unmixing dynamic PET images with variable specific binding kinetics
To analyze dynamic positron emission tomography (PET) images, various ge...
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Storing nonuniformly distributed messages in networks of neural cliques
Associative memories are data structures that allow retrieval of stored ...
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Deep MANTA: A Coarsetofine ManyTask Network for joint 2D and 3D vehicle analysis from monocular image
In this paper, we present a novel approach, called Deep MANTA (Deep Many...
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Bridging belief function theory to modern machine learning
Machine learning is a quickly evolving field which now looks really diff...
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TripleSpin  a generic compact paradigm for fast machine learning computations
We present a generic compact computational framework relying on structur...
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Multidimensional signal approximation with sparse structured priors using split Bregman iterations
This paper addresses the structurallyconstrained sparse decomposition o...
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A Combined Approach for Constraints over Finite Domains and Arrays
Arrays are ubiquitous in the context of software verification. However, ...
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Predictive support recovery with TVElastic Net penalty and logistic regression: an application to structural MRI
The use of machinelearning in neuroimaging offers new perspectives in e...
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Scalable domain adaptation of convolutional neural networks
Convolutional neural networks (CNNs) tend to become a standard approach ...
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Phase transitions and sample complexity in Bayesoptimal matrix factorization
We analyse the matrix factorization problem. Given a noisy measurement o...
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Multivariate Temporal Dictionary Learning for EEG
This article addresses the issue of representing electroencephalographic...
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Model Selection for Degreecorrected Block Models
The proliferation of models for networks raises challenging problems of ...
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Multiscale Mining of fMRI data with Hierarchical Structured Sparsity
Inverse inference, or "brain reading", is a recent paradigm for analyzin...
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Brain covariance selection: better individual functional connectivity models using population prior
Spontaneous brain activity, as observed in functional neuroimaging, has ...
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A Hierarchical Bayesian Model for Frame Representation
In many signal processing problems, it may be fruitful to represent the ...
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Spatiotemporal wavelet regularization for parallel MRI reconstruction: application to functional MRI
Parallel MRI is a fast imaging technique that enables the acquisition of...
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4D WaveletBased Regularization for Parallel MRI Reconstruction: Impact on Subject and GroupLevels Statistical Sensitivity in fMRI
Parallel MRI is a fast imaging technique that enables the acquisition of...
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Wavelet and Curvelet Moments for Image Classification: Application to Aggregate Mixture Grading
We show the potential for classifying images of mixtures of aggregate, b...
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An active curve approach for tomographic reconstruction of binary radially symmetric objects
This paper deals with a method of tomographic reconstruction of radially...
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Two New Contributions to the Visualization of AMR Grids: I. Interactive Rendering of ExtremeScale 2Dimensional Grids II. Novel Selection Filters in Arbitrary Dimension
We present here the result of continuation work, performed to further fu...
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Visualization and Analysis of LargeScale, TreeBased, Adaptive Mesh Refinement Simulations with Arbitrary Rectilinear Geometry
We present here the first systematic treatment of the problems posed by ...
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Learning More Universal Representations for TransferLearning
Transfer learning is commonly used to address the problem of the prohibi...
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Coverage Analysis and Load Balancing in HetNets with mmWave MultiRAT Small Cells
We characterize a two tier heterogeneous network, consisting of classica...
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Analysis and Design of CostEffective, HighThroughput LDPC Decoders
This paper introduces a new approach to costeffective, highthroughput ...
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Efficient sequential experimental design for surrogate modeling of nested codes
Thanks to computing power increase, the certification and the conception...
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Taking back control of HPC file systems with Robinhood Policy Engine
Today, the largest Lustre file systems store billions of entries. On suc...
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Monitoring Data Minimisation
Data minimisation is a privacy enhancing principle, stating that persona...
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Channel Whispering: a Protocol for Physical Layer Group Key Generation. Application to IRUWB through Deconvolution
As wireless ad hoc and mobile networks are emerging and the transferred ...
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On the Needs for Rotations in Hypercubic Quantization Hashing
The aim of this paper is to endow the wellknown family of hypercubic qu...
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High order time integrators for the simulation of charged particle motion in magnetic quadrupoles
Magnetic quadrupoles are essential components of particle accelerators l...
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Graphbased Clustering under Differential Privacy
In this paper, we present the first differentially private clustering me...
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Gaussian Processes indexed on the symmetric group: prediction and learning
In the framework of the supervised learning of a real function defined o...
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Solving coupled problems of lumped parameter models in a platform for severe accidents in nuclear reactors
This paper focuses on solving coupled problems of lumped parameter model...
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The Uranie platform: an Opensource software for optimisation, metamodelling and uncertainty analysis
The highperformance computing resources and the constant improvement of...
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Analytical study of 5G NR eMBB coexistence
3GPP release 15 focusing on 5G general outline has been published in Dec...
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Visual Relationship Detection Based on Guided Proposals and Semantic Knowledge Distillation
A thorough comprehension of image content demands a complex grasp of the...
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Confidence Intervals for Stochastic Arithmetic
Quantifying errors and losses due to the use of FloatingPoint (FP) calc...
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Factor analysis of dynamic PET images: beyond Gaussian noise
Factor analysis has proven to be a relevant tool for extracting tissue t...
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DeeSIL: DeepShallow Incremental Learning
Incremental Learning (IL) is an interesting AI problem when the algorith...
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Metric Learning for Phoneme Perception
Metric functions for phoneme perception capture the similarity structure...
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Efficient Seismic fragility curve estimation by Active Learning on Support Vector Machines
Fragility curves which express the failure probability of a structure, o...
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Accurate Characterization of Dynamic Cell Load in NoiseLimited Random Cellular Networks
The analyses of cellular network performance based on stochastic geometr...
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Pluralize: a Trustworthy Framework for HighLevel Smart ContractDraft
The paper presents Pluralize a formal logical framework able to extend t...
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