Giulio Viganò
PhD @ University of Milano-Bicocca. Currently visiting LiX @ École Polytechnique
Email: giulio.vigan@gmail.com
I am a PhD researcher in Computer Science at the University of Milano-Bicocca, working at the intersection of machine learning and geometry processing.
My research focuses on developing neural architectures to understand and model correspondences between 3D shapes. I am passionate about leveraging artificial intelligence to enhance computational reasoning in geometry. Currently, I am visiting LiX at École Polytechnique near Paris, where I explore how geometric reasoning can advance our understanding of neural architectures.
Previously, I earned a Master’s degree in Applied Mathematics from the University of Milan.
When I’m not working, you’ll find me at the bar discussing politics but also enjoying the essentials of Italian life: food and footbal.
Research Interests
- Geometric Deep Learning
- Spectral Geometry
- Machine Learning
news
| Nov 01, 2025 | 🇫🇷 I joined École Polytechnique as a Visiting PhD Student, working with Maks Ovsjanikov. |
|---|---|
| Sep 30, 2025 | 📚 We have released GeomFum, a new library for machine learning with Functional Maps! Check it out on https://github.com/3diglab/geomfum. |
| Aug 10, 2025 | 🎉 Our paper NAM: Neural Adjoint Maps for refining shape correspondences (with Maks Ovsjanikov and Simone Melzi) has been published in ACM Transactions on Graphics! Currently in Vancouver at SIGGRAPH 2025 presenting our work. |
latest posts
| Jan 17, 2026 | The Day You Lose Power Is the Day You Need Rights |
|---|---|
| Jan 05, 2026 | Humanity’s Next Bitter Lesson |
| Oct 01, 2025 | Useful Tools for Machine Learning on Geometric Data |
selected publications
-
NAM: Neural Adjoint Maps for Refining Shape CorrespondencesACM Transactions on Graphics (TOG), 2025 -
Bijective Upsampling and Learned Embedding for Point Clouds CorrespondencesIn Computers & Graphics, 2024