Publications du GERAD

Le fruit de notre travail

Les Cahiers du GERAD

Collection de rapports techniques et de documents de travail, témoins de la vigueur et de la productivité de notre groupe.

Publications scientifiques

Répertoire de toutes les catégories de publications scientifiques de nos membres au fil des ans.

Bulletins du GERAD

Revue semestrielle de vulgarisation scientifique de la recherche effectuée par nos membre et résumé récent de nos activités.

Cahiers les plus récents

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G-2026-33 Transformer-based representation for chained DAG task offloading under service constraints in edge computing networks
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Task offloading in edge computing becomes significantly more challenging when applications are modeled as Directed Acyclic Graphs (DAGs), where task dependen...

G-2026-32 Distributed dependency-aware task offloading and service caching in cloudlet-based edge computing networks
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To meet the increasing demand for low-latency processing in mobile and IoT devices, edge computing offloads user application tasks to nearby cloudlets (edge ...

G-2026-31 Optimized FIR-Kalman architecture for differentially private event stream filtering
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We investigate a state estimation problem for a linear time-invariant Gaussian system, based on a measured scalar privacy-sensitive signal. This is formulate...

G-2026-30 LLM human response alignment via multi-sample debiasing
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Les grands modèles de langage sont de plus en plus utilisés comme substituts de répondants humains dans les expériences en sciences sociales, en comportement...

G-2026-29 Quasi-Newton and Krylov methods for the solution of trust-region subproblems
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We study the solution of symmetric positive-definite linear systems by way of families of full- and limited-memory methods. Our contributions are threefol...

Publications scientifiques récentes

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The routing-and-driving problem for plug-in hybrid electric vehicles
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The routing-and-driving problem for plug-in hybrid electric vehicles (PHEVs) is an extension of the vehicle routing problem with time windows, where routing ...

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Advances in Power Consumption Model for Data Centers: Analytical Formulas vs. Machine Learning Models
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