3 citations · 3 across the 2 of their papers we have counts for
12 papers
Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization
Potito Aghilar, Vito Walter Anelli, Michelantonio Trizio +2
Diffusion models have recently unlocked new possibilities in editing images of real-world objects. Yet, transforming objects in non-rigid ways, such as modifying poses or applying…
The Representational Limit of Scalar Interactions: An Interventional Decomposition
Potito Aghilar, Sabino Roccotelli, Stanislao Fidanza +3
Signed pairwise interaction scores fundamentally conflate uniqueness (U), redundancy (R), and synergy (S). We prove this on a minimal 3-way XOR structural causal model: faithful in…
The EpisTwin: A Knowledge Graph-Grounded Neuro-Symbolic Architecture for Personal AI
Giovanni Servedio, Potito Aghilar, Alessio Mattiace +6
Personal Artificial Intelligence is currently hindered by the fragmentation of user data across isolated silos. While Retrieval-Augmented Generation offers a partial remedy, its re…
WarpRec: Unifying Academic Rigor and Industrial Scale for Responsible, Reproducible, and Efficient Recommendation
Marco Avolio, Potito Aghilar, Sabino Roccotelli +9
Innovation in Recommender Systems is currently impeded by a fractured ecosystem, where researchers must choose between the ease of in-memory experimentation and the costly, complex…
RUVA: Personalized Transparent On-Device Graph Reasoning
Gabriele Conte, Alessio Mattiace, Gianni Carmosino +6
The Personal AI landscape is currently dominated by "Black Box" Retrieval-Augmented Generation. While standard vector databases offer statistical matching, they suffer from a funda…
Exploring Diversity, Novelty, and Popularity Bias in ChatGPT's Recommendations
Dario Di Palma, Giovanni Maria Biancofiore, Vito Walter Anelli +2
ChatGPT has emerged as a versatile tool, demonstrating capabilities across diverse domains. Given these successes, the Recommender Systems (RSs) community has begun investigating i…