Artificial geometry for spline models construction

Abstract: For centuries mathematics has been an activity carried out by humans for humans. In recent years, a new perspective has arisen, in which Mathematics is an activity that humans and machines perform for humans and machines. In the seminar, this duality will be exploited with respect to deep learning architectures and free-form geometric CAD model construction. In particular, the talk will investigate different neural network architectures to address the parameterization problem within the spline fitting framework.

computational geometryalgebraic geometry

Audience: researchers in the topic

Aromath seminar

Series comments: The AROMATH seminar takes place typically every other Wednesday at 14:00 (FR), except from a few deviations. Remote participation via Zoom: cutt.ly/aromath Meeting ID: 828 5859 7791 Passcode: 123 Join via web browser: cutt.ly/aromath-web