10 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Laboratoire d'Informatique de Paris-NordFR6 papers
- Université de Versailles Saint-Quentin-en-YvelinesFR6 papers
- Université Sorbonne Paris NordFR6 papers
- Institut national de recherche en sciences et technologies du numériqueFR3 papers
- Université Paris-SaclayFR3 papers
- Centre de Développement des Technologies AvancéesDZ2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Engineering School of Information and Digital TechnologiesFR2 papers
- ERABLE: Equipe de recherche européenne en algorithmique et biologie formelle et expérimentaleFR2 papers
- Alcatel-Lucent (France)FR1 paper
- Birkbeck, University of LondonGB1 paper
- CentraleSupélecFR1 paper
15 papers
Efficient Solving of Large Single Input Superstate Decomposable Markovian Decision Process
Youssef Ait El Mahjoub, Jean-Michel Fourneau, Salma Alouah
Solving Markov Decision Processes (MDPs) remains a central challenge in sequential decision-making, especially when dealing with large state spaces and long-term optimization crite…
A slot-based energy storage decision-making approach for optimal Off-Grid telecommunication operator
Youssef Ait El Mahjoub, Jean-Michel Fourneau
This paper proposes a slot-based energy storage approach for decision-making in the context of an Off-Grid telecommunication operator. We consider network systems powered by solar…
Game Theory Meets Statistical Mechanics in Deep Learning Design
Djamel Bouchaffra, Fayçal Ykhlef, Bilal Faye +2
We present a novel deep graphical representation that seamlessly merges principles of game theory with laws of statistical mechanics. It performs feature extraction, dimensionality…
Manual Verbalizer Enrichment for Few-Shot Text Classification
Quang Anh Nguyen, Nadi Tomeh, Mustapha Lebbah +3
With the continuous development of pre-trained language models, prompt-based training becomes a well-adopted paradigm that drastically improves the exploitation of models for many…
OneEncoder: A Lightweight Framework for Progressive Alignment of Modalities
Bilal Faye, Hanane Azzag, Mustapha Lebbah
Cross-modal alignment Learning integrates information from different modalities like text, image, audio and video to create unified models. This approach develops shared representa…
Evaluating the Efficacy of Instance Incremental vs. Batch Learning in Delayed Label Environments: An Empirical Study on Tabular Data Streaming for Fraud Detection
Kodjo Mawuena Amekoe, Mustapha Lebbah, Gregoire Jaffre +2
Real-world tabular learning production scenarios typically involve evolving data streams, where data arrives continuously and its distribution may change over time. In such a setti…
Distributed Collapsed Gibbs Sampler for Dirichlet Process Mixture Models in Federated Learning
Reda Khoufache, Mustapha Lebbah, Hanene Azzag +2
Dirichlet Process Mixture Models (DPMMs) are widely used to address clustering problems. Their main advantage lies in their ability to automatically estimate the number of clusters…
Configuring an heterogeneous smartgrid network: complexity and approximations for tree topologies
Dominique Barth, Thierry Mautor, Dimitri Watel +1
We address the problem of configuring a power distribution network with reliability and resilience objectives by satisfying the demands of the consumers and saturating each product…
DBSCAN of Multi-Slice Clustering for Third-Order Tensors
Dina Faneva Andriantsiory, Joseph Ben Geloun, Mustapha Lebbah
Several methods for triclustering three-dimensional data require the cluster size or the number of clusters in each dimension to be specified. To address this issue, the Multi-Slic…
Flexibility can hurt dynamic matching system performance
Arnaud Cadas, Josu Doncel, Jean-Michel Fourneau +1
We study the performance of general dynamic matching models. This model is defined by a connected graph, where nodes represent the class of items and the edges the compatibilities…
Enumerating models of DNF faster: breaking the dependency on the formula size
Florent Capelli, Yann Strozecki
In this article, we study the problem of enumerating the models of DNF formulas. The aim is to provide enumeration algorithms with a delay that depends polynomially on the size of…
Efficient enumeration of solutions produced by closure operations
Arnaud Mary, Yann Strozecki
In this paper we address the problem of generating all elements obtained by the saturation of an initial set by some operations. More precisely, we prove that we can generate the c…
On The Complexity of Enumeration
Florent Capelli, Yann Strozecki
We investigate the relationship between several enumeration complexity classes and focus in particular on problems having enumeration algorithms with incremental and polynomial del…
2-Xor revisited: satisfiability and probabilities of functions
Élie de Panafieu, Danièle Gardy, Bernhard Gittenberger +1
The problem 2-Xor-Sat asks for the probability that a random expression, built as a conjunction of clauses , is satisfiable. We revisit this classical problem by giving…
Efficient enumeration of solutions produced by closure operations
Arnaud Mary, Yann Strozecki
In this paper we address the problem of generating all elements obtained by the saturation of an initial set by some operations. More precisely, we prove that we can generate the c…