6 papers
TRIAGE: Trustworthy Retrieval Instrumentation And Graph Evaluation
Axel TahmasebiMoradi, Lucas Schott, Martin Royer
Knowledge graphs (KGs) that underpin Graph-based Retrieval-Augmented Generation (Graph-RAG) are increasingly built automatically by LLM-driven extraction rather than curated by exp…
Feasibility Study of CNNs and MLPs for Radiation Heat Transfer in 2-D Furnaces with Spectrally Participative Gases
Axel TahmasebiMoradi, Vincent Ren, Benjamin Le-Creurer +2
Aiming to reduce the computational cost of numerical simulations, a convolutional neural network (CNN) and a multi-layer perceptron (MLP) are introduced to build a surrogate model…
A new methodology to decompose a parametric domain using reduced order data manifold in machine learning
Chetra Mang, Axel TahmasebiMoradi, Mouadh Yagoubi
We propose a new methodology for parametric domain decomposition using iterative principal component analysis. Starting with iterative principle component analysis, the high dimens…
An adaptive sampling algorithm for data-generation to build a data-manifold for physical problem surrogate modeling
Chetra Mang, Axel TahmasebiMoradi, David Danan +1
Physical models classically involved Partial Differential equations (PDE) and depending of their underlying complexity and the level of accuracy required, and known to be computati…
Statistical and Predictive Analysis to Identify Risk Factors and Effects of Post COVID-19 Syndrome
Milad Leyli-abadi, Jean-Patrick Brunet, Axel Tahmasebimoradi
Based on recent studies, some COVID-19 symptoms can persist for months after infection, leading to what is termed long COVID. Factors such as vaccination timing, patient characteri…
Double-Logarithmic Depth Block-Encodings of Simple Finite Difference Method's Matrices
Sunheang Ty, Renaud Vilmart, Axel TahmasebiMoradi +1
Solving differential equations is one of the most computationally expensive problems in classical computing, occupying the vast majority of high-performance computing resources dev…