Diffusion scientifique
Dernières publications
Kernelization of compressing two-dimensional routing tables with order
Article dans une revue
Frédéric Giroire, Frédéric Havet, Joanna Moulierac
Given a set of communications X, which is a subset of S×T, (typically S is the set of sources and T the set of destinations), and a port function π:X→P where P is the set of ports, a routing list R is an ordered list of triples which are of the form (s,t,p), (∗,t,p), (s,∗,p) or…
Benchmarking Conventional and Learning‑Based Image Codecs for the Future JPEG DNA Standard
Communication lors d'une conférence
Claire Couvreur, Michela Testolina, Théo Ladune, Guillaume Lorand, Pierrick Philippe, Marc Antonini
In response to the ever-growing data storage demands, research has been increasingly focusing on more sustainable alternatives to traditional storage methods (e.g. HDD). One promising approach is storing cold data, i.e. rarely accessed data, on synthetic DNA, which offers…
Uncertainty-aware knowledge representation and reasoning in critical infrastructure systems
Article dans une revue
Gérald Rocher, Nicolas Ferry, Stéphane Lavirotte, Jean-Yves Tigli
As socio-technical Cyber–Physical Systems (CPS), and Critical Infrastructure (CIs) in particular, become increasingly complex and interdependent, there is a growing need for integrated approaches that support decision-making across a wide range of domains. These domains rely on…
Ray Augmented Supervision for 3D Object Detection
Communication lors d'une conférence
Huy-Hoang Duong, Adrian Voicila, Guillaume Allibert
Detection Transformer (DETR) has been widely adopted for camera-based multiview 3D Object Detection. Its one-to-one (O2O) Hungarian matching, while effective, leaves many predictions unsupervised during training. This results in weak supervision signals and numerous False…
Benchmarking Metaheuristics for Mixed-Integer Optimization
Communication lors d'une conférence
Thomas Lang, Denis Pallez
Mixed-integer optimization (MIO) involves solving a problem defined by both discrete and continuous decision variables. Although common in real-world applications, MIO is difficult to solve because traditional metaheuristics are primarily designed for a single variable type…
Continuous Pareto Nested Rollout Policy Adaptation for Multiobjective Sequential Optimization
Communication lors d'une conférence
Nathan Amoussou, Denis Pallez
Multiobjective sequential optimization problems consist of building a solution as a sequence of decisions, while searching for optimal trade-offs among multiple, often conflicting, objectives. In this context, the Pareto-Nested Rollout Policy Adaptation (P-NRPA) algorithm has…