A Riemannian Framework for Tensor Computing

• Introduction to correlation networks: Interdisciplinary approaches beyond thresholding

  2025 Physics Reports article Physics and Astronomy Complex Network Analysis Techniques Open access

  26

  citations
• Error Sampling and Synthesis for High-Order Node Movement

  2025 AIAA SciTech Forum conference-paper Computer Science Computational Geometry and Mesh Generation

  2

  citations
• An adaptive model order reduction technique for parameter-dependent modular structures

  2023 Computational Mechanics article Physics and Astronomy Model Reduction and Neural Networks Open access

  13

  citations
• A review and comparison of error estimators for anisotropic mesh adaptation for flow simulations

  2021 Computers & Fluids article Engineering Computational Fluid Dynamics and Aerodynamics Open access

  26

  citations
• Geomstats: A Python Package for Riemannian Geometry in Machine Learning

  2020 arXiv (Cornell University) software-paper Computer Science Topological and Geometric Data Analysis Open access

  95

  citations
• Introduction to Geometric Learning in Python with Geomstats

  2020 Proceedings of the Python in Science Conferences conference-paper Computer Science Topological and Geometric Data Analysis Open access

  7

  citations

6 results