Olga Zaghen
@olgatticus.bsky.social
MSCA PhD student at AMLab with Erik Bekkers, interested in geometric deep learning, generative models and their intersection 🌐 ✨
bit.ly/olga-zaghen
bit.ly/olga-zaghen
We test our method on a checkerboard distribution on the sphere 🏁🌐, yielding promising results when compared to Euclidean and non-variational methods.
🧵4/5
🧵4/5
February 19, 2025 at 3:13 PM
We test our method on a checkerboard distribution on the sphere 🏁🌐, yielding promising results when compared to Euclidean and non-variational methods.
🧵4/5
🧵4/5
By directly encoding the manifold, we introduce Riemannian-Gaussian-VFM, offering a fresh perspective on geometry-informed generative modeling. We also discuss how our approach relates to the previously mentioned methods. 🌍🌎🌏
🧵3/5
🧵3/5
February 19, 2025 at 3:13 PM
By directly encoding the manifold, we introduce Riemannian-Gaussian-VFM, offering a fresh perspective on geometry-informed generative modeling. We also discuss how our approach relates to the previously mentioned methods. 🌍🌎🌏
🧵3/5
🧵3/5