Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
PartecipationsAndTalks
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
projects
AdaViT (Adaptive Vision Transformers)
Adaptive Vision Transformer with dynamic token sparsification and halting for efficient image classification.
(AMR) Autonomous Mobile Robotics Cleaning Robot
Autonomous mobile robot for indoor cleaning with navigation, obstacle avoidance, and task orchestration.
BioHeat PINNs: Temperature Estimation with Bio-Heat Equation using Physics-Informed Neural Networks
Physics-Informed Neural Networks for real-time temperature estimation via the Pennes Bio-Heat Equation, supporting hyperthermia therapy control.
MoonBot Navigation
Autonomous lunar rover navigation and interaction — winner of the TESP 2025 Competition.
RoboMAT
MATLAB library for robotics simulations, kinematics, dynamics, control, and path planning.
XGNNs: Model-level Explanation of Graph Neural Networks with RL through Graph Generation
Model-level explanations for GNNs via reinforcement-learned graph generation on MUTAG.
publications
Z-SASLM: Zero-Shot Style-Aligned SLI Blending for Latent Manipulation
Published in CVPR (Computer Vision and Pattern Recognition) 2025 Workshops (Nashville, USA 🇺🇸), 2025
Z-SASLM introduces a zero-shot, fine-tuning-free approach to style alignment in diffusion models by blending multiple reference styles directly in latent space using spherical linear interpolation (SLI) with learned, context-aware weights. The method avoids model retraining, preserves content semantics, and yields consistent style transfer across prompts and seeds.
Recommended citation: Borgi, A.; Maiano, L.; Amerini, I. (2025). "Z-SASLM: Zero-Shot Style-Aligned SLI Blending for Latent Manipulation." CVPR 2025 Workshops.
Go to the Webpage | Download Paper | Download Poster | Download Bibtex | GitHub Code
Polynomial Neural Sheaf Diffusion: A Spectral Filtering Approach on Cellular Sheaves
Published in arXiv preprint arXiv:2512.00242, 2025
ArXiv preprint on Polynomial Neural Sheaf Diffusion: A Spectral Filtering Approach on Cellular Sheaves.
Recommended citation: Borgi, A.; Silvestri F.; Liò P. (2025). "Polynomial Neural Sheaf Diffusion: A Spectral Filtering Approach on Cellular Sheaves.
Go to the Webpage | Download Paper | Download Bibtex
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.