Emanuele Aiello

Ph.D. in Intelligenza Artificiale , 37^th cycle (2021-2024)

Ph.D. obtained in 2025

Dissertation:

Generative and Multimodal Learning for Vision and Language (Abstract)

Tutors:

Enrico Magli Diego Valsesia

Profile

Research topic

Multimodal Deep Learning and Generative Models

Research interests

Computer vision and image understanding

3D vision and 3D reconstruction

Self-supervised and semi-supervised learning

Generative models and Generative Adversarial Networks

Biography

Emanuele Aiello received the bachelor’s degree in electronics and communications engineering and the master’s degree (Hons.) in telecommunications from Politecnico di Torino, where he is currently pursuing the Ph.D. degree in artificial intelligence. He is also a Teaching Assistant with Politecnico di Torino. He has gained practical experience through prestigious internships, as a Research Scientist Intern at Meta. His research interest includes multimodal deep learning and generative Models. He published several research articles at prestigious conferences such as ICLR and NeurIPS.

Teaching

Teachings

Master of Science

Signal, image and video processing and learning (modulo di Image and video processing and learning). A.A. 2024/25, COMMUNICATIONS ENGINEERING. Collaboratore del corso
Statistical learning and neural networks. A.A. 2024/25, ICT FOR SMART SOCIETIES (ICT PER LA SOCIETA' DEL FUTURO). Collaboratore del corso

Bachelor of Science

Elaborazione di immagine e video. A.A. 2022/23, INGEGNERIA DEL CINEMA E DEI MEZZI DI COMUNICAZIONE. Collaboratore del corso
Elaborazione di immagine e video. A.A. 2023/24, INGEGNERIA DEL CINEMA E DEI MEZZI DI COMUNICAZIONE. Collaboratore del corso

MostraNascondi A.A. passati

Publications

Works published during the Ph.D. View all publications in Porto@Iris

Aiello, Emanuele (2025)
Generative and Multimodal Learning for Vision and Language. relatore: MAGLI, ENRICO; VALSESIA, DIEGO; , 37. XXXVII Ciclo, P.: 152
Doctoral Thesis
Aiello, Emanuele; Valsesia, Diego; Magli, Enrico (2024)
Fast Inference in Denoising Diffusion Models via MMD Finetuning. In: IEEE ACCESS, vol. 12, pp. 106912-106923. ISSN 2169-3536
Contributo su Rivista
Aiello, E.; Agarla, M.; Valsesia, D.; Napoletano, P.; Bianchi, T.; Magli, E.; Schettini, ... (2024)
Synthetic Data Pretraining for Hyperspectral Image Super-Resolution. In: IEEE ACCESS, vol. 12, pp. 65024-65031. ISSN 2169-3536
Contributo su Rivista
Aiello, Emanuele; Yu, Lili; Nie, Yixin; Aghajanyan, Armen; Oguz, Barlas (2023)
Jointly Training Large Autoregressive Multimodal Models. In: International Conference on Learning Representations, Vienna (Austria), Aprile 2024
Contributo in Atti di Convegno (Proceeding)
Aiello, E.; Valsesia, D.; Magli, E. (2022)
Cross-modal Learning for Image-Guided Point Cloud Shape Completion. In: 36th Conference on Neural Information Processing Systems, NeurIPS 2022, New Orleans, USA, November 28th through December 9th, 2022. ISSN 1049-5258. ISBN: 9781713871088
Contributo in Atti di Convegno (Proceeding)