1 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- IMT AtlantiqueFR13 papers
- Green Cross InternationalUS2 papers
- Universidade de VigoES2 papers
- Université de Bretagne OccidentaleFR2 papers
- Atlantis Consulting (Greece)GR1 paper
- ECAM Rennes Louis de BroglieFR1 paper
- ECAM School of EngineeringFR1 paper
- École nationale supérieure de techniques avancées BretagneFR1 paper
- GIPSA-LabFR1 paper
- IAM RoadSmartGB1 paper
- Institut d'Électronique et des Technologies du numéRiqueFR1 paper
- Institut de Recherche en Informatique et Systèmes AléatoiresFR1 paper
18 papers
Lithography-free patterning of SrTiO-based two-dimensional electron gases using direct atomic layer processing
Anshu Gupta, Karolis Parfeniukas, Amit Chanda +5
We present a scalable and lithography-free strategy for the realization of a two-dimensional electron gas (2DEG) in TiO-patterned SrTiO (100) via Al deposition using magnet…
LOTUSim: Multi-Domain Simulator for Marine Robotics
Cédric Buche, Juliette Grosset, Hélène Lechêne +4
Simulation is essential for maritime robotics, supporting operator training, mission rehearsal, and human-vehicle interaction in environments where real-world testing is costly or…
A Hybrid Physical--Digital Framework for Annotated Fracture Reduction Data Evaluated using Clinically Relevant 3D metrics
Basile Longo, Paul-Emmanuel Edeline, Hoel Letissier +4
A major bottleneck in Computer-Assisted Preoperative Planning (CAPP) for fracture reduction is the limited availability of annotated data. While annotated datasets are now availabl…
Energy-time attack on detectors in quantum key distribution
Konstantin Zaitsev, Vladimir Bizin, Dmitriy Kuzmin +1
Quantum key distribution is unbreakable in theory but may be hacked via imperfections in its hardware implementations. While many imperfections have been mitigated by countermeasur…
Discovering Data Manifold Geometry through Geometric Properties
David Vigouroux, Lucas Drumetz, Ronan Fablet +1
A prevailing paradigm in modern representation learning is the map-first approach, in which a representation map is learned from reconstruction, embedding, or task objectives. At t…
Majorization-Minimization Networks for Inverse Problems: An Application to EEG Imaging
Le Minh Triet Tran, Sarah Reynaud, Ronan Fablet +3
Inverse problems are often ill-posed and require optimization schemes with strong stability and convergence guarantees. While learning-based approaches such as deep unrolling and m…
Thermal scanning probe lithography for fabrication of perforated metallic films
Paloma E S Pellegrini, Francisco T Orlandini, Silvia V G Nista +3
Thermal scanning probe lithography offers high resolution and versatility, making it a promising alternative for fabricating photonic devices. Here, we introduce a new method that…
Elementary Tail Bounds on the Hypergeometric Distribution
Vaisakh Mannalath, Víctor Zapatero, Marcos Curty
We use a simple method to derive two concentration bounds on the hypergeometric distribution. Comparison with existing results illustrates the advantage of these bounds across diff…
Application of Quaternions to Obtain Analytic Solutions to Systems of Polarization Components
Michael G. Taylor
This paper describes the passage of light through a system of waveplates mathematically in terms of quaternions, an extension of the complex numbers, instead of the more usual Jone…
Leveraging Event Streams with Deep Reinforcement Learning for End-to-End UAV Tracking
Ala Souissi, Hajer Fradi, Panagiotis Papadakis
In this paper, we present our proposed approach for active tracking to increase the autonomy of Unmanned Aerial Vehicles (UAVs) using event cameras, low-energy imaging sensors that…
Collision and Obstacle Avoidance for Industrial Autonomous Vehicles -- Simulation and Experimentation Based on a Cooperative Approach
Juliette Grosset, Alain-Jérôme Fougères, M Djoko-Kouam +2
One of the challenges of Industry 4.0, is to determine and optimize the flow of data, products and materials in manufacturing companies. To realize these challenges, many solutions…
Feature Expansion and enhanced Compression for Class Incremental Learning
Quentin Ferdinand, Gilles Le Chenadec, Benoit Clement +2
Class incremental learning consists in training discriminative models to classify an increasing number of classes over time. However, doing so using only the newly added class data…
Goal Space Abstraction in Hierarchical Reinforcement Learning via Reachability Analysis
Mehdi Zadem, Sergio Mover, Sao Mai Nguyen
Open-ended learning benefits immensely from the use of symbolic methods for goal representation as they offer ways to structure knowledge for efficient and transferable learning. H…
A more general categorical framework for congruence of applicative bisimilarity
Tom Hirschowitz, Ambroise Lafont
We prove a general congruence result for bisimilarity in higher-order languages, which generalises previous work to languages specified by a labelled transition system in which pro…
Leveraging Neural Koopman Operators to Learn Continuous Representations of Dynamical Systems from Scarce Data
Anthony Frion, Lucas Drumetz, Mauro Dalla Mura +2
Over the last few years, several works have proposed deep learning architectures to learn dynamical systems from observation data with no or little knowledge of the underlying phys…
Geometry-preserving Lie Group Integrators For Differential Equations On The Manifold Of Symmetric Positive Definite Matrices
Lucas Drumetz, Alexandre Reiffers-Masson, Naoufal El Bekri +1
In many applications, one encounters signals that lie on manifolds rather than a Euclidean space. In particular, covariance matrices are examples of ubiquitous mathematical objects…
Online Multi-Agent Decentralized Byzantine-robust Gradient Estimation
Alexandre Reiffers-Masson, Isabel Amigo
In this paper, we propose an iterative scheme for distributed Byzantineresilient estimation of a gradient associated with a black-box model. Our algorithm is based on simultaneous…
Low-Complexity Angle-Domain MIMO NOMA System with partial channel state information for MmWave Communications *
Israa Khaled, Charlotte Langlais, Ammar Falou +2
In millimeter-wave communication, digital beamsteering (DBS), only based on the user direction, is a promising angle-domain multi-antenna technique to mitigate the severe path loss…