
Learning Compositional Neural Programs for Continuous Control
We propose a novel solution to challenging sparsereward, continuous con...
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Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: a case study with the Lorenz 96 model
A novel method, based on the combination of data assimilation and machin...
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Towards Teachable Autonomous Agents
Autonomous discovery and direct instruction are two extreme sources of l...
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Gaussian Graphical Model exploration and selection in high dimension low sample size setting
Gaussian Graphical Models (GGM) are often used to describe the condition...
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Learning Compositional Neural Programs with Recursive Tree Search and Planning
We propose a novel reinforcement learning algorithm, AlphaNPI, that inco...
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QDRL: Efficient Mixing of Quality and Diversity in Reinforcement Learning
We propose a novel reinforcement learning algorithm,QDRL, that incorpor...
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A Sparse Coding MultiScale PreciseTiming Machine Learning Algorithm for Neuromorphic EventBased Sensors
This paper introduces an unsupervised compact architecture that can extr...
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Identification of Invariant Sensorimotor Structures as a Prerequisite for the Discovery of Objects
Perceiving the surrounding environment in terms of objects is useful for...
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Building Safer AGI by introducing Artificial Stupidity
Artificial Intelligence (AI) achieved superhuman performance in a broad...
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Kalman Recursions Aggregated Online
In this article, we aim at improving the prediction of expert aggregatio...
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DECSTR: Learning GoalDirected Abstract Behaviors using PreVerbal Spatial Predicates in Intrinsically Motivated Agents
Intrinsically motivated agents freely explore their environment and set ...
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Embodied Evolution in Collective Robotics: A Review
This paper provides an overview of evolutionary robotics techniques appl...
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Using Phone Sensors and an Artificial Neural Network to Detect Gait Changes During Drinking Episodes in the Natural Environment
Phone sensors could be useful in assessing changes in gait that occur wi...
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Multilevel Modeling with Structured Penalties for Classification from Imaging Genetics data
In this paper, we propose a framework for automatic classification of pa...
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On the Theoretical Capacity of Evolution Strategies to Statistically Learn the Landscape Hessian
We study the theoretical capacity to statistically learn local landscape...
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Multiobjective analysis of computational models
Computational models are of increasing complexity and their behavior may...
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Roborobo! a Fast Robot Simulator for Swarm and Collective Robotics
Roborobo! is a multiplatform, highly portable, robot simulator for larg...
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Quick and energyefficient Bayesian computing of binocular disparity using stochastic digital signals
Reconstruction of the tridimensional geometry of a visual scene using th...
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Managing network congestion with a Kohonenbased RED queue
The behaviour of the TCP AIMD algorithm is known to cause queue length o...
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Face Alignment with Cascaded SemiParametric Deep Greedy Neural Forests
Face alignment is an active topic in computer vision, consisting in alig...
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A Strongly Quasiconvex PACBayesian Bound
We propose a new PACBayesian bound and a way of constructing a hypothes...
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Neural Random Forests
Given an ensemble of randomized regression trees, it is possible to rest...
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A Random Forest Guided Tour
The random forest algorithm, proposed by L. Breiman in 2001, has been ex...
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SGD with Variance Reduction beyond Empirical Risk Minimization
We introduce a doubly stochastic proximal gradient algorithm for optimiz...
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Learning the intensity of time events with changepoints
We consider the problem of learning the inhomogeneous intensity of a cou...
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Featurebased Recursive Observer Design for Homography Estimation
This paper presents a new algorithm for online estimation of a sequence ...
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HighDimensional Longitudinal Classification with the Multinomial Fused Lasso
We study regularized estimation in highdimensional longitudinal classif...
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A Bayesian alternative to mutual information for the hierarchical clustering of dependent random variables
The use of mutual information as a similarity measure in agglomerative h...
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An {l_1,l_2,l_∞}Regularization Approach to HighDimensional Errorsinvariables Models
Several new estimation methods have been recently proposed for the linea...
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Online Asynchronous Distributed Regression
Distributed computing offers a high degree of flexibility to accommodate...
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Consistency of random forests
Random forests are a learning algorithm proposed by Breiman [Mach. Learn...
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Optimal learning with Bernstein Online Aggregation
We introduce a new recursive aggregation procedure called Bernstein Onli...
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Sparse Bayesian Unsupervised Learning
This paper is about variable selection, clustering and estimation in an ...
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Image Classification with Rejection using Contextual Information
We introduce a new supervised algorithm for image classification with re...
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Cellular Tree Classifiers
The cellular tree classifier model addresses a fundamental problem in th...
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Datadriven density derivative estimation, with applications to nonparametric clustering and bump hunting
Important information concerning a multivariate data set, such as cluste...
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Hypersparse optimal aggregation
In this paper, we consider the problem of "hypersparse aggregation". Na...
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A Stochastic Model for Collaborative Recommendation
Collaborative recommendation is an informationfiltering technique that ...
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Word Translation Without Parallel Data
Stateoftheart methods for learning crosslingual word embeddings have...
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An Artificial Neural Network for Gait Analysis to Estimate Blood Alcohol Content Level
Impairments in gait occur after alcohol consumption, and, if detected in...
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Polishness of some topologies related to automata (Extended version)
We prove that the Büchi topology, the automatic topology, the alphabetic...
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Robust BayesLike Estimation: RhoBayes estimation
We consider the problem of estimating the joint distribution P of n inde...
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A limit field for orthogonal range searches in twodimensional random point search trees
We consider the cost of general orthogonal range queries in random quadt...
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Estimating graph parameters via random walks with restarts
In this paper we discuss the problem of estimating graph parameters from...
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Oneparameter tetrahedral mesh generation for spheroids
This paper deals with a simple and straightforward procedure for automat...
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Empirical Bayes analysis of spike and slab posterior distributions
In the sparse normal means model, convergence of the Bayesian posterior ...
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Incorporating Prior Information with Fused Sparse Group Lasso: Application to Prediction of Clinical Measures from Neuroimages
Predicting clinical variables from wholebrain neuroimages is a high dim...
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Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal Exploration
Intrinsically motivated goal exploration algorithms enable machines to d...
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Accelerated Gradient Boosting
Gradient tree boosting is a prediction algorithm that sequentially produ...
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Policy Search in Continuous Action Domains: an Overview
Continuous action policy search, the search for efficient policies in co...
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UPMC
The largest scientific and medical complex in France, among the top 10 European universities, the Université Pierre et Marie Curie  UPMC covers all disciplines in science, technology and medicine. With its cuttingedge research, high level training and international reach, it embodies French excellence in higher education and research.