Argyris Kalogeratos | DeepAI

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Batiste Le Bars
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∙ 01/08/2023

Online Centralized Non-parametric Change-point Detection via Graph-based Likelihood-ratio Estimation

Consider each node of a graph to be generating a data stream that is syn...

0 Alejandro de la Concha, et al. ∙

∙ 10/21/2022

DeGroot-based opinion formation under a global steering mechanism

In this paper we investigate how interacting agents arrive to a consensu...

0 Ivan Conjeaud, et al. ∙

∙ 10/07/2022

To tree or not to tree? Assessing the impact of smoothing the decision boundaries

When analyzing a dataset, it can be useful to assess how smooth the deci...

0 Anthea Mérida, et al. ∙

∙ 10/01/2022

Clustering for directed graphs using parametrized random walk diffusion kernels

Clustering based on the random walk operator has been proven effective f...

0 Harry Sevi, et al. ∙

∙ 05/28/2022

Collaborative likelihood-ratio estimation over graphs

Assuming we have i.i.d observations from two unknown probability density...

0 Alejandro de la Concha, et al. ∙

∙ 03/07/2022

Generalized Spectral Clustering for Directed and Undirected Graphs

Spectral clustering is a popular approach for clustering undirected grap...

0 Harry Sevi, et al. ∙

∙ 10/20/2021

Online non-parametric change-point detection for heterogeneous data streams observed over graph nodes

Consider a heterogeneous data stream being generated by the nodes of a g...

0 Alejandro de la Concha, et al. ∙

∙ 09/03/2021

Epidemic Models for COVID-19 during the First Wave from February to May 2020: a Methodological Review

We review epidemiological models for the propagation of the COVID-19 pan...

0 Marie Garin, et al. ∙

∙ 11/17/2020

Efficient stream-based Max-Min diversification with minimal failure rate

The stream-based Max-Min diversification problem concerns the task of se...

0 Mathilde Fekom, et al. ∙

∙ 06/24/2020

Winning the competition: enhancing counter-contagion in SIS-like epidemic processes

In this paper we consider the epidemic competition between two generic d...

0 Argyris Kalogeratos, et al. ∙

∙ 06/20/2020

Model family selection for classification using Neural Decision Trees

Model selection consists in comparing several candidate models according...

0 Anthea Mérida Montes de Oca, et al. ∙

∙ 06/18/2020

Offline detection of change-points in the mean for stationary graph signals

This paper addresses the problem of segmenting a stream of graph signals...

0 Alejandro de la Concha, et al. ∙

∙ 06/11/2020

Dynamic Epidemic Control via Sequential Resource Allocation

In the Dynamic Resource Allocation (DRA) problem, an administrator has t...

0 Mathilde Fekom, et al. ∙

∙ 02/12/2020

Optimal Multiple Stopping Rule for Warm-Starting Sequential Selection

In this paper we present the Warm-starting Dynamic Thresholding algorith...

13 Mathilde Fekom, et al. ∙

∙ 10/18/2019

Detecting multiple change-points in the time-varying Ising model

This work focuses on the estimation of change-points in a time-varying I...

0 Batiste Le Bars, et al. ∙

∙ 09/20/2019

Sequential Dynamic Resource Allocation for Epidemic Control

Under the Dynamic Resource Allocation (DRA) model, an administrator has ...

3 Mathilde Fekom, et al. ∙

∙ 07/15/2019

Revealing posturographic features associated with the risk of falling in patients with Parkinsonian syndromes via machine learning

Falling in Parkinsonian syndromes (PS) is associated with postural insta...

0 Ioannis Bargiotas, et al. ∙

∙ 02/12/2019

A Probabilistic Framework to Node-level Anomaly Detection in Communication Networks

In this paper we consider the task of detecting abnormal communication v...

0 Batiste Le Bars, et al. ∙

∙ 09/19/2018

The Multi-Round Sequential Selection Problem

In the Sequential Selection Problem (SSP), immediate and irrevocable dec...

0 Mathilde Fekom, et al. ∙

∙ 09/15/2017

A Spectral Method for Activity Shaping in Continuous-Time Information Cascades

Information Cascades Model captures dynamical properties of user activit...

0 Kevin Scaman, et al. ∙

∙ 02/26/2016

Multivariate Hawkes Processes for Large-scale Inference

In this paper, we present a framework for fitting multivariate Hawkes pr...

0 Rémi Lemonnier, et al. ∙

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