works on

From the 1 of 36 linked papers with an AI index.

most citedTraining-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization

3 citations · 3 across the 6 of their papers we have counts for

collaborators

36 papers

cs.MA2026

Who Are You Explaining To? A Multi-Agent System for Audience-Aware XAI Narratives

Francesco Musicco, Danilo Danese, Giuseppe Fasano +3

Feature-attribution methods such as SHAP provide useful evidence about individual model predictions, but their numerical outputs are rarely sufficient for audiences with different…

cs.CV2026

Now You Have My Healthy Attention: A U-DiT for Brain-MRI Inpainting

Danilo Danese, Angela Lombardi, Tommaso Di Noia

The paper presents a U-shaped transformer (U-DiT) model for inpainting healthy brain tissue in T1-weighted MRI scans, using constrained self‑attention and a contralateral‑symmetry…

cs.CV20263 cited

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…

cs.IR2026

Autonomous Information Seeking: A Roadmap for Agentic Recommender Systems

Xinyu Lin, Yashar Deldjoo, Sunhao Dai +7

The rapid integration of large language model-based agents into recommender systems has driven a shift from static, ranking-based pipelines toward autonomous and interactive system…

cs.CL2026

Test-Time Verification for Text-to-SQL via Outcome Reward Models

Mattia Tritto, Giuseppe Farano, Dario Di Palma +4

Improving the reliability of large language models (LLMs) at inference time is a central challenge in structured reasoning tasks such as Text-to-SQL. Common test-time inference str…

stat.ML2026

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…