activity
20142026
most citedEnergy Minimization in DAG Scheduling on MPSoCs at Run-Time: Theory and Practice

2 citations · 4 across the 10 of their papers we have counts for

collaborators

14 papers

cs.GT2026

Strategic Facility Location in Euclidean Spaces

Kim Thang Nguyen, Lucas Perotin, Bertrand Simon

The strategic facility location problem is defined as follows: agents report their location in a metric space, and the objective is to design a \emph{mechanism} deciding the (p…

cs.LG2023

Mixing predictions for online metric algorithms

Antonios Antoniadis, Christian Coester, Marek Eliáš +2

A major technique in learning-augmented online algorithms is combining multiple algorithms or predictors. Since the performance of each predictor may vary over time, it is desirabl…

cs.GT2022

Product Portfolio Management in Competitive Environments

Samira Hossein Ghorban, Bardyaa Hesaam

Product diversity is one of the prominent factors for customers' satisfaction, while from the firms' perspective, the additional engineering costs required for product diversity sh…

cs.DC2021

An Exact Algorithm for the Linear Tape Scheduling Problem

Valentin Honoré, Bertrand Simon, Frédéric Suter

Magnetic tapes are often considered as an outdated storage technology, yet they are still used to store huge amounts of data. Their main interests are a large capacity and a low pr…

cs.DS2021

Learning-Augmented Dynamic Power Management with Multiple States via New Ski Rental Bounds

Antonios Antoniadis, Christian Coester, Marek Eliáš +2

We study the online problem of minimizing power consumption in systems with multiple power-saving states. During idle periods of unknown lengths, an algorithm has to choose between…

cs.LG2021

Double Coverage with Machine-Learned Advice

Alexander Lindermayr, Nicole Megow, Bertrand Simon

We study the fundamental online k-server problem in a learning-augmented setting. While in the traditional online model, an algorithm has no information about the request sequence,…