Publications by Pierre Bruno Baqué

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In recent years, Machine Learning based Computer Vision techniques made impressive progress. These algorithms proved particularly efficient for image classification or detection of isolated objects. From a probabilistic perspective, these methods can predi ...

The present invention generally relates to a method, a system and a computer program for shape optimisation of a technical device adapted to be exposed to a fluid flowing around a contour of said device with respect to its fluid dynamic parameters. In orde ...

High-temperature latent heat thermal energy storage with metallic alloy phase change materials (PCMs) utilize the high latent heat and high thermal conductivity to gain a competitive edge over existing sensible and latent storage technologies. Novel macrop ...

Mean-field variational inference is one of the most popular approaches to inference in discrete random fields. Standard mean-field optimization is based on coordinate descent and in many situations can be impractical. Thus, in practice, various parallel te ...

Aerodynamic shape optimization has many industrial applications. Existing methods, however, are so computationally demanding that typical engineering practices are to either simply try a limited number of hand-designed shapes or restrict oneself to shapes ...

Pierre Bruno Baqué

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Mean-Field methods for Structured Deep-Learning in Computer Vision

Shape optimisation of technical devices via gradient descent using convolutional neural network proxies

Geodesic Convolutional Neural Network Characterization of Macro-Porous Latent Thermal Energy Storage

Principled Parallel Mean-Field Inference for Discrete Random Fields

Geodesic Convolutional Shape Optimization

DeepMesh: Differentiable Iso-Surface Extraction

MeshSDF: Differentiable Iso-Surface Extraction