
On LastLayer Algorithms for Classification: Decoupling Representation from Uncertainty Estimation
Uncertainty quantification for deep learning is a challenging open probl...
read it

Adversarially Learned Anomaly Detection
Anomaly detection is a significant and hence wellstudied problem. Howev...
read it

A corticalinspired model for orientationdependent contrast perception: a link with WilsonCowan equations
We consider a differential model describing neurophysiological contrast...
read it

VisualHints: A VisualLingual Environment for Multimodal Reinforcement Learning
We present VisualHints, a novel environment for multimodal reinforcement...
read it

Active PreferenceBased Gaussian Process Regression for Reward Learning
Designing reward functions is a challenging problem in AI and robotics. ...
read it

A study of Neural networks point source extraction on simulated Fermi/LAT Telescope images
Astrophysical images in the GeV band are challenging to analyze due to t...
read it

Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence
We present a novel learningbased approach for computing correspondences...
read it

Spaceadaptive anisotropic bivariate Laplacian regularization for image restoration
In this paper we present a new regularization term for variational image...
read it

Coevolution and morphogenetic systems
The emerging field of morphogenetic engineering proposes to design compl...
read it

Highdimensional robust regression and outliers detection with SLOPE
The problems of outliers detection and robust regression in a highdimen...
read it

Un résultat intrigant en commande sans modèle
An elementary mathematical example proves, thanks to the RouthHurwitz c...
read it

Universal consistency and minimax rates for online Mondrian Forests
We establish the consistency of an algorithm of Mondrian Forests, a rand...
read it

Energy saving for building heating via a simple and efficient modelfree control design: First steps with computer simulations
The modelbased control of building heating systems for energy saving en...
read it

Efficient tracking of a growing number of experts
We consider a variation on the problem of prediction with expert advice,...
read it

Characteristic and Universal Tensor Product Kernels
Kernel mean embeddings provide a versatile and powerful nonparametric re...
read it

Sparse inference of the drift of a highdimensional OrnsteinUhlenbeck process
Given the observation of a highdimensional OrnsteinUhlenbeck (OU) proc...
read it

tick: a Python library for statistical learning, with a particular emphasis on timedependent modeling
tick is a statistical learning library for Python 3, with a particular e...
read it

FiniteTime Stabilization of Longitudinal Control for Autonomous Vehicles via a ModelFree Approach
This communication presents a longitudinal modelfree control approach f...
read it

A LinearTime Kernel GoodnessofFit Test
We propose a novel adaptive test of goodnessoffit, with computational ...
read it

Convolutional Neural Networks for joint object detection and pose estimation: A comparative study
In this paper we study the application of convolutional neural networks ...
read it

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...
read it

An Adaptive Test of Independence with Analytic Kernel Embeddings
A new computationally efficient dependence measure, and an adaptive stat...
read it

Highdimensional Bayesian inference via the Unadjusted Langevin Algorithm
We consider in this paper the problem of sampling a highdimensional pro...
read it

Neural Random Forests
Given an ensemble of randomized regression trees, it is possible to rest...
read it

Systematic and multifactor risk models revisited
Systematic and multifactor risk models are revisited via methods which w...
read it

Putting SelfSupervised Token Embedding on the Tables
Information distribution by electronic messages is a privileged means of...
read it

A bijective proof of the enumeration of maps in higher genus
Bender and Canfield proved in 1991 that the generating series of maps in...
read it

Exploration of an Interdisciplinary Scientific Landscape
Patterns of interdisciplinarity in science can be quantified through div...
read it

Calibration of a Densitybased Model of Urban Morphogenesis
We study a stochastic model of urban growth generating spatial distribut...
read it

A Streaming Algorithm for Graph Clustering
We introduce a novel algorithm to perform graph clustering in the edge s...
read it

On shortterm traffic flow forecasting and its reliability
Recent advances in time series, where deterministic and stochastic model...
read it

Perfect graphs with polynomially computable kernels
In a directed graph, a kernel is a subset of vertices that is both stabl...
read it

Greedy stochastic algorithms for entropyregularized optimal transport problems
Optimal transport (OT) distances are finding evermore applications in ma...
read it

Minimax optimal rates for Mondrian trees and forests
Introduced by Breiman (2001), Random Forests are widely used as classifi...
read it

Unveiling the invisible  mathematical methods for restoring and interpreting illuminated manuscripts
The last fifty years have seen an impressive development of mathematical...
read it

Structural inpainting
Sceneagnostic visual inpainting remains very challenging despite progre...
read it

Routing Game on Parallel Networks: the Convergence of Atomic to Nonatomic
We consider an instance of a nonatomic routing game. We assume that the ...
read it

Individual Security and Network Design with Malicious Nodes
Networks are beneficial to those being connected but can also be used as...
read it

Analysis of nonsmooth stochastic approximation: the differential inclusion approach
In this paper we address the convergence of stochastic approximation whe...
read it

Trusted Neural Networks for SafetyConstrained Autonomous Control
We propose Trusted Neural Network (TNN) models, which are deep neural ne...
read it

Minimax regularization
Classical approach to regularization is to design norms enhancing smooth...
read it

Reconciling complexities: for a stronger integration of approaches to complex sociotechnical systems
Systems engineering has developed a mature knowledge on how to design, i...
read it

GraKeL: A Graph Kernel Library in Python
The problem of accurately measuring the similarity between graphs is at ...
read it

Density estimation for RWRE
We consider the problem of nonparametric density estimation of a random...
read it

Nonsmooth Aggregative Games with Coupling Constraints and Infinitely Many Classes of Players
After defining a pureaction profile in a nonatomic aggregative game, wh...
read it

ScikitMultiflow: A Multioutput Streaming Framework
Scikitmultiflow is a multioutput/multilabel and stream data mining fr...
read it

Diffusion approximations and control variates for MCMC
A new methodology is presented for the construction of control variates ...
read it

A spatialised bibliometrics approach of a scientific journal production
Bibliometrics have become commonplace and widely used by authors and jou...
read it

An Adaptive Conversational Bot Framework
How can we enable users to heavily specify criteria for database queries...
read it

Unveiling coevolutionary patterns in systems of cities: a systematic exploration of the SimpopNet model
Coevolutionary processes are according to the evolutive urban theory at...
read it
Ecole Polytechnique
École polytechnique is a French public institution of higher education and research in Palaiseau, a suburb southwest of Paris.