518 citations
- Université Toulouse III - Paul SabatierFR332 papers
- Institut de Recherche en Informatique de ToulouseFR331 papers
- Université Toulouse - Jean JaurèsFR329 papers
- Institut Polytechnique de BordeauxFR326 papers
- Centre National de la Recherche ScientifiqueFR159 papers
- Université Fédérale de Toulouse Midi-PyrénéesFR78 papers
- Université de ToulouseFR51 papers
- Institut National Polytechnique de ToulouseFR43 papers
- Toulouse School of EconomicsFR31 papers
- École Nationale Supérieure d'Électrotechnique, d'Électronique, d'Informatique, d'Hydraulique et des TélécommunicationsFR20 papers
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47 papers · 1 filter
From Black-Box Tuning to Guided Optimization via Hyperparameters Interaction Analysis
Moncef Garouani, Ayah Barhrhouj
Hyperparameters tuning is a fundamental, yet computationally expensive, step in optimizing machine learning models. Beyond optimization, understanding the relative importance and i…
Fast and Flexible Robustness Certificates for Semantic Segmentation
Thomas Massena, Corentin Friedrich, Franck Mamalet +1
Deep Neural Networks are vulnerable to small perturbations that can drastically alter their predictions for perceptually unchanged inputs. The literature on adversarially robust De…
Adaptive Agents in Spatial Double-Auction Markets: Modeling the Emergence of Industrial Symbiosis
Matthieu Mastio, Paul Saves, Benoit Gaudou +1
Industrial symbiosis fosters circularity by enabling firms to repurpose residual resources, yet its emergence is constrained by socio-spatial frictions that shape costs, matching o…
Global Sensitivity Analysis for Engineering Design Based on Individual Conditional Expectations
Pramudita Satria Palar, Paul Saves, Rommel G. Regis +4
Explainable machine learning techniques have gained increasing attention in engineering applications, especially in aerospace design and analysis, where understanding how input var…
Modal Logic for Simulation, Refinement, and Mutual Ignorance
Hans van Ditmarsch, Tim French, Rustam Galimullin +1
Simulation and refinement are variations of the bisimulation relation, where in the former we keep only atoms and forth, and in the latter only atoms and back. Quantifying over sim…
Graded Distributed Belief
Emiliano Lorini, Dmitry Rozplokhas
We introduce a new logic of graded distributed belief that allows us to express the fact that a group of agents distributively believe that a certain fact holds with at least stren…