37 citations · 139 across the 35 of their papers we have counts for
38 papers
Decision-Focused Learning for Optimal Battery Scheduling Under Load and Photovoltaic Power Uncertainty in Microgrids
Marios Saleptsis, Antoine Lesage-Landry, Marco Mussetta +1
The increasing penetration of renewable energy sources in microgrids demands accurate day-ahead forecasting to support optimal battery energy storage system (BESS) scheduling. Yet…
Multi-Agent Reinforcement Learning for Joint Handover Management and Power Allocation in Multi-Orbit Satellite Networks
Yassine Afif, Ashutosh Balakrishnan, Philippe Martins +3
Future sixth-generation non-terrestrial networks are expected to combine low Earth orbit (LEO), medium Earth orbit (MEO), and geostationary Earth orbit (GEO) satellites, whose comp…
Copositive Characterizations of Convex Hull Pricing
Madhusudan Ghosh, Antoine Lesage-Landry, Joshua Adam Taylor
Due to the nonconvex binary constraints of unit commitment (UC), no uniform linear pricing scheme supports the optimal dispatch. Convex hull pricing (CHP) and copositive duality pr…
Parallel versions of the mesh adaptive direct search algorithm
Sébastien Le Digabel, Antoine Lesage-Landry, Samuel Mendoza +1
This work surveys the different parallel variants of the mesh adaptive direct search (MADS) algorithm for constrained blackbox optimization. These problems can inherently imply hig…
Convex training of Lipschitz-regularized shallow neural networks
Chao Yin, Antoine Lesage-Landry
In this work, we introduce a training procedure for shallow neural networks that promotes robustness against adversarial attacks. We solve a non-convex Lipschitz-regularized traini…
Online Sketched Newton-Raphson
Jean-Luc Lupien, Yuen-Man Pun, Youssef Diouane +2
In online convex optimization (OCO), a decision-maker is confronted with an unknown environment and seeks to play an optimal sequence of decisions on a short time-scale using only…
Connectivity-Aware Task Offloading for Remote Northern Regions: a Hybrid LEO-MEO Architecture
Mohammed Almekhlafi, Antoine Lesage-Landry, Gunes Karabulut Kurt
Arctic regions, such as northern Canada, face significant challenges in achieving consistent connectivity and low-latency computing services due to the sparse coverage of Low Earth…
Joint Satellite Power Consumption and Handover Optimization for LEO Constellations
Yassine Afif, Mohammed Almekhlafi, Antoine Lesage-Landry +1
In satellite constellation-based communication systems, continuous user coverage requires frequent handoffs due to the dynamic topology induced by the Low Earth Orbit (LEO) satelli…
PIKAN: Physics-Inspired Kolmogorov-Arnold Networks for Explainable UAV Channel Modelling
Kürşat Tekbıyık, Güneş Karabulut Kurt, Antoine Lesage-Landry
Unmanned aerial vehicle (UAV) communications demand accurate yet interpretable air-to-ground (A2G) channel models that can adapt to nonstationary propagation environments. While de…
Distributed Combined Space Partitioning and Network Flow Optimization: an Optimal Transport Approach (Extended Version)
Théo Laurentin, Patrick Coirault, Emmanuel Moulay +2
This paper studies a combined space partitioning and network flow optimization problem, with applications to large-scale power, transportation, or communication systems. In dense w…
Mixed-integer Second-Order Cone Programming for Multi-period Scheduling of Flexible AC Transmission System Devices
Mohamad Charara, Martin De Montigny, Nivine Abou Daher +2
With the increasing energy demand and the growing integration of renewable sources of energy, power systems face operational challenges such as overloads, losses, and stability con…
Simulation of a closed-loop dc-dc converter using a physics-informed neural network-based model
Marc-Antoine Coulombe, Maxime Berger, Antoine Lesage-Landry
The growing reliance on power electronics introduces new challenges requiring detailed time-domain analyses with fast and accurate circuit simulation tools. Currently, commercial t…
AI-Driven Low-Altitude Economy: Spectrum, Mobility, and Validation
Kürşat Tekbıyık, Amir Hossein Fahim Raouf, İsmail Güvenç +3
The Low Altitude Economy (LAE) network, with its transformative capabilities, is a candidate to become one of the major technological developments of the next decade for air mobili…
Sliced-Wasserstein Distance-based Data Selection
Julien Pallage, Antoine Lesage-Landry
We propose a new unsupervised anomaly detection method based on the sliced-Wasserstein distance for training data selection in machine learning approaches. Our filtering technique…
Efficient search strategies for constrained multiobjective blackbox optimization
Sébastien Le Digabel, Antoine Lesage-Landry, Ludovic Salomon +1
Multiobjective blackbox optimization deals with problems where the objective and constraint functions are the outputs of a numerical simulation. In this context, no derivatives are…
Min-Max Optimisation for Nonconvex-Nonconcave Functions Using a Random Zeroth-Order Extragradient Algorithm
Amir Ali Farzin, Yuen Man Pun, Philipp Braun +3
This study explores the performance of the random Gaussian smoothing Zeroth-Order ExtraGradient (ZO-EG) scheme considering \Af{deterministic} min-max optimisation problems with pos…
Sliced-Wasserstein-based Anomaly Detection and Open Dataset for Localized Critical Peak Rebates
Julien Pallage, Bertrand Scherrer, Salma Naccache +2
In this work, we present a new unsupervised anomaly (outlier) detection (AD) method using the sliced-Wasserstein metric. This filtering technique is conceptually interesting for ML…
Federated Learning for UAV-Based Spectrum Sensing: Enhancing Accuracy Through SNR-Weighted Model Aggregation
Kürşat Tekbıyık, Güneş Karabulut Kurt, Antoine Lesage-Landry
The increasing demand for data usage in wireless communications requires using wider bands in the spectrum, especially for backhaul links. Yet, allocations in the spectrum for non-…
Online Convex Optimization for On-Board Routing in High-Throughput Satellites
Olivier Bélanger, Jean-Luc Lupien, Olfa Ben Yahia +3
The rise in low Earth orbit (LEO) satellite Internet services has led to increasing demand, often exceeding available data rates and compromising the quality of service. While depl…
A Scalable Architecture for Future Regenerative Satellite Payloads
Olfa Ben Yahia, Zineb Garroussi, Brunilde Sansò +4
This paper addresses the limitations of current satellite payload architectures, which are predominantly hardware-driven and lack the flexibility to adapt to increasing data demand…
Wasserstein Distributionally Robust Shallow Convex Neural Networks
Julien Pallage, Antoine Lesage-Landry
In this work, we propose Wasserstein distributionally robust shallow convex neural networks (WaDiRo-SCNNs) to provide reliable nonlinear predictions when subject to adverse and cor…
Efficient Data-Driven MPC for Demand Response of Commercial Buildings
Marie-Christine Paré, Vasken Dermardiros, Antoine Lesage-Landry
Model predictive control (MPC) has been shown to significantly improve the energy efficiency of buildings while maintaining thermal comfort. Data-driven approaches based on neural…
Tensor-based Space Debris Detection for Satellite Mega-constellations
Olivier Daoust, Hasan Nayir, Irfan Azam +2
Thousands of satellites, asteroids, and rocket bodies break, collide, or degrade, resulting in large amounts of space debris in low Earth orbit. The presence of space debris poses…
Ex Post Conditions for the Exactness of Optimal Power Flow Conic Relaxations
Jean-Luc Lupien, Antoine Lesage-Landry
Convex relaxations of the optimal power flow (OPF) problem provide an efficient alternative to solving the intractable alternating current (AC) optimal power flow. The conic subset…