
Learning Predictive Leading Indicators for Forecasting Time Series Systems with Unknown Clusters of Forecast Tasks
We present a new method for forecasting systems of multiple interrelated...
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Lifelong Generative Modeling
Lifelong learning is the problem of learning multiple consecutive tasks ...
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Quantile universal threshold: model selection at the detection edge for highdimensional linear regression
To estimate a sparse linear model from data with Gaussian noise, consili...
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Learning Heterogeneous Similarity Measures for HybridRecommendations in MetaMining
The notion of metamining has appeared recently and extends the traditio...
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Sparse Multilayer Image Approximation: Facial Image Compression
We propose a scheme for multilayer representation of images. The proble...
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Synthesising Sign Language from semantics, approaching "from the target and back"
We present a Sign Language modelling approach allowing to build grammars...
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A Bayesian Model of Multilingual Unsupervised Semantic Role Induction
We propose a Bayesian model of unsupervised semantic role induction in m...
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Parameter estimation of platelets deposition: Approximate Bayesian computation with high performance computing
A numerical model that quantitatively describes how platelets in a shear...
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Extracting Formal Specifications to Strenghten Type Behaviour Testing
Testing has become an indispensable activity of software development, ye...
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Exceedancebased nonlinear regression of tail dependence
The probability and structure of cooccurrences of extreme values in mul...
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Extremal dependence of random scale constructions
A bivariate random vector can exhibit either asymptotic independence or ...
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Colorless green recurrent networks dream hierarchically
Recurrent neural networks (RNNs) have achieved impressive results in a v...
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Principally Boxinteger Polyhedra and Equimodular Matrices
A polyhedron is boxinteger if its intersection with any integer box {ℓ≤...
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A datadriven approach to midlevel perceptual musical feature modeling
Musical features and descriptors could be coarsely divided into three le...
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ExchangeBased Diffusion in HbGraphs: Highlighting Complex Relationships
Most networks tend to show complex and multiple relationships between en...
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SampleEfficient Imitation Learning via Generative Adversarial Nets
Recent work in imitation learning articulate their formulation around th...
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Bridging machine learning and cryptography in defence against adversarial attacks
In the last decade, deep learning algorithms have become very popular th...
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Classification by Regeneration: Towards Classification Based on Variational Inference
As Deep Neural Networks (DNNs) are considered the stateoftheart in ma...
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Comparison between Suitable Priors for Additive Bayesian Networks
Additive Bayesian networks are types of graphical models that extend the...
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Variational Bayesian Monte Carlo
Many probabilistic models of interest in scientific computing and machin...
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Continual Classification Learning Using Generative Models
Continual learning is the ability to sequentially learn over time by acc...
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Coroutines with Higher Order Functions
Coroutines are nonpreemptive concurrent subroutines that, unlike preemp...
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A simple recipe for making accurate parametric inference in finite sample
Constructing tests or confidence regions that control over the error rat...
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Simultaneous Prediction Intervals for Small Area Parameter
In this paper we address the construction of simultaneous prediction int...
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Defending against adversarial attacks by randomized diversification
The vulnerability of machine learning systems to adversarial attacks que...
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Efficient LBM on GPUs for dense moving objects using immersed boundary condition
There exists an increasing interest for using immersed boundary methods ...
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Multivariate Signal Modelling with Applications to Inertial Sensor Calibration
The common approach to inertial sensor calibration for navigation purpos...
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Robustification of deep net classifiers by key based diversified aggregation with prefiltering
In this paper, we address a problem of machine learning system vulnerabi...
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The HyperBagGraph DataEdron: An Enriched Browsing Experience of Multimedia Datasets
Traditional verbatim browsers give back information in a linear way acco...
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A filtered Boris algorithm for chargedparticle dynamics in a strong magnetic field
A modification of the standard Boris algorithm, called filtered Boris al...
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Alexa as a CALL platform for children: Where do we start?
Amazon's Alexa is now widely available and shows interesting potential a...
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What do the founders of online communities owe to their users?
We discuss the organisation of internet communities, focusing on what we...
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Decentralising power: how we are trying to keep CALLector ethical
We present a brief overview of the CALLector project, and consider ethic...
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A Flexible Framework for Anomaly Detection via Dimensionality Reduction
Anomaly detection is challenging, especially for large datasets in high ...
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A Tutorial for Joint Modeling of Longitudinal and TimetoEvent Data in R
In biostatistics and medical research, longitudinal data are often compo...
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WaveletBased MomentMatching Techniques for Inertial Sensor Calibration
The task of inertial sensor calibration has required the development of ...
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Information bottleneck through variational glasses
Information bottleneck (IB) principle [1] has become an important elemen...
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Opportunistic multiparty shuffling for data reporting privacy
An important feature of data collection frameworks, in which voluntary p...
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Nonparametric additive factor models using sieve methods
This paper proposes a nonparametric additive factor model where the comm...
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Efficient modeling of correlated noise II. A flexible noise model with fast and scalable methods
Correlated noise affects most astronomical datasets and to neglect accou...
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Sparse Structures for Multivariate Extremes
Extreme value statistics provides accurate estimates for the small occur...
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Multilevel Riemannian optimization for lowrank problems
Largescale optimization problems arising from the discretization of pro...
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ParaDIAG: ParallelinTime Algorithms Based on the Diagonalization Technique
In 2008, Maday and Rønquist introduced an interesting new approach for t...
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University of Geneva
Universite De Geneve is an educational institute. The University provides studies in science, medicine, law, economics & social sciences, psychology, and educational sciences.