Search Results for author:
Found 13 papers, 7 papers with code
Towards Precise Completion of Deformable Shapes
Here, we claim that observing part of an object which was previously acquired as a whole, one could deal with both partial matching and shape completion in a holistic manner.
TEXT2TASTE: A Versatile Egocentric Vision System for Intelligent Reading Assistance Using Large Language Model
The LLM processes the data and allows the user to interact with the text and responds to a given query, thus extending the functionality of corrective lenses with the ability to find and summarize knowledge from the text.
The Power of Noise: Redefining Retrieval for RAG Systems
Retrieval-Augmented Generation (RAG) systems represent a significant advancement over traditional Large Language Models (LLMs).
Prompt-to-OS (P2OS): Revolutionizing Operating Systems and Human-Computer Interaction with Integrated AI Generative Models
In this paper, we present a groundbreaking paradigm for human-computer interaction that revolutionizes the traditional notion of an operating system.
RRAML: Reinforced Retrieval Augmented Machine Learning
The emergence of large language models (LLMs) has revolutionized machine learning and related fields, showcasing remarkable abilities in comprehending, generating, and manipulating human language.
Fauno: The Italian Large Language Model that will leave you senza parole!
This paper presents Fauno, the first and largest open-source Italian conversational Large Language Model (LLM).
Renormalized Graph Neural Networks
It is recognized as the preferred lens through which to study complex systems, offering a framework that can untangle their intricate dynamics.
Multimodal Neural Databases
The rise in loosely-structured data available through text, images, and other modalities has called for new ways of querying them.
Sparse Vicious Attacks on Graph Neural Networks
In this work, we focus on a specific, white-box attack to GNN-based link prediction models, where a malicious node aims to appear in the list of recommended nodes for a given target victim.
Shape registration in the time of transformers
In this paper, we propose a transformer-based procedure for the efficient registration of non-rigid 3D point clouds.
CycleDRUMS: Automatic Drum Arrangement For Bass Lines Using CycleGAN
The two main research threads in computer-based music generation are: the construction of autonomous music-making systems, and the design of computer-based environments to assist musicians.
Automatic Music Production Using Generative Adversarial Networks
In this work, we propose a novel framework for $\textit{automatic music arrangement from raw audio in the frequency domain}$.
The Whole Is Greater Than the Sum of Its Nonrigid Parts
Here, we claim that observing part of an object which was previously acquired as a whole, one could deal with both partial matching and shape completion in a holistic manner.
