Bentamou, Abdelouahid Chrétien, Stéphane Gavet, Yann
The generation of realistic 3D microstructure images is crucial for understanding and optimizing materials in various fields, including fuel cell technology. In this article, we present a novel approach for generating synthetic 3D microstructure images using 3D Denoising Diffusion Probabilistic Models (3D DDPM). This approach extends to n-phase mat...
Meng, Shuangshuang Yousefi, Ali Akbar Karkhaneh Avril, Stéphane
International audience
Sen, Ahmet Aguirre, Miquel Navarro, Laurent Avril, Stéphane Alastruey, Jordi
Background and Objective: The topology of the circle of Willis (CoW) is crucial in cerebral circulation and significantly impacts patient management. Incomplete CoW structures increase stroke risk and post-stroke damage. Current detection methods using computed tomography and magnetic resonance scans are often invasive, time-consuming, and costly. ...
Brunel, Lucas Balesdent, Mathieu Brevault, Loïc Riche, Rodolphe Le Sudret, Bruno
Multi-fidelity surrogate models combining dimensionality reduction and an intermediate surrogate in the reduced space allow a cost-effective emulation of simulators with functional outputs. The surrogate is an input-output mapping learned from a limited number of simulator evaluations. This computational efficiency makes surrogates commonly used fo...
Yan, Elena Burattini, Samuele Hübner, Jomi Fred Ricci, Alessandro
Abstract As the complexity of software systems rises, explainability - i.e. the ability of systems to provide explanations of their behaviour - becomes a crucial property. This is true for any AI-based systems, including autonomous systems that exhibit decisionmaking capabilities such as multi-agent systems. Although explainabil- ity is generally c...
Kadkhoda-Ahmadi, Shervin
This PhD research explores the development of service ramp-up management, a multidisciplinary concept that encompasses the processes and strategies employed to effectively introduce and rapidly scale services in today’s dynamic business environment. This research addresses the complexities associated with service ramp-up and aims to answer two simp...
Emanuilov, Simeon Dimov, Aleksandar
Published in
Cybernetics and Information Technologies
This paper presents a novel approach for similarity search with complex filtering capabilities on billion-scale datasets, optimized for CPU inference. Our method extends the classical IVF-Flat index structure to integrate multi-dimensional filters. The proposed algorithm combines dense embeddings with discrete filtering attributes, enabling fast re...
Dumas, Jean-Guillaume Pernet, Clement Sedoglavic, Alexandre
We present a non-commutative algorithm for the multiplication of a 2x2-block-matrix by its transpose using 5 block products (3 recursive calls and 2 general products) over C or any finite field.We use geometric considerations on the space of bilinear forms describing 2x2 matrix products to obtain this algorithm and we show how to reduce the number ...
Maatouk, Hassan Rullière, Didier Bay, Xavier
Bayesian linear models are widely used as efficient approaches for nonparametric function estimation. In this paper, we present a Bayesian method for generating finite-dimensional linear models that can handle large datasets. This method is based on an efficient Markov chain Monte Carlo algorithm. The advantage of this approach is that sampling is ...
Rousseau, Lucas Iabbaden, Djafar Sedao, Xxx Peillon, Nathalie Kalácska, Szilvia Bright, Eleanor Lawrence Kermouche, Guillaume Colombier, Jean-Philippe Borbély, András
The effect of femtosecond laser shock peening on a model Al-0.3Mn alloy was investigated experimentally and numerically by molecular dynamics. Micro-diffraction experiments performed at synchrotron source revealed the depth profiles of the residual stress and the stored energy of dislocations, a measure of local plasticity. The depth of the maximum...