SE3 Equivariant Hemodynamic Field Estimation in 3D Artery Models via Graph Neural Networks
Estimate hemodynamic fields in 3D artery models using SE3 equivariant graph neural networks, enhancing accuracy and efficiency in cardiovascular research.
Geometric Deep Graph Learning: Exploring Opportunities in Different Geometric Spaces
Explore geometric deep graph learning in non-Euclidean spaces. Discover properties of hyperbolic and hyperspherical spaces for enhanced graph representation and analysis across various applications.
Geometric Probabilistic Models - Tutorial 4
Explore geometric probabilistic models for data-efficient, uncertainty-aware decision-making in applications like drug design and robotics. Learn theory and implementation of Gaussian processes and related techniques.
Geometric Deep Learning for Protein Understanding and Design
Discover how geometric deep learning advances protein understanding and design, exploring cutting-edge AI applications in drug discovery and development.
From CroCo to MASt3R - A Paradigm Change in 3D Computer Vision
Explore groundbreaking advancements in 3D vision through CroCo, DUSt3R, and MASt3R frameworks, revolutionizing multi-view stereo reconstruction and geometric deep learning for enhanced robotic navigation and cultural preservation.