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Courses:
Please refer to the following webpages for details and updates on the courses taught during the second semester 2023/2024:
Machine Learning (Scienze Matematiche per l'Intelligenza Artificiale)
Il corso inizia lunedì 4 marzo 2024.
Si faccia riferimento alla pagina ufficiale del corso per informazioni: https://erodola.github.io/ML-s2-2024/
Deep Learning and Applied AI (DLAI)
The course will start on february 26, 2024.
Please refer to the webpage for details: https://erodola.github.io/DLAI-s2-2024/
Office hours:
For maximum flexibility, Prof. Rodolà is always available via email for clarifications regarding: lecture topics; homework; projects. If needed, an appointment can be taken for a live or virtual meeting.
| Insegnamento | Codice | Anno | Corso - Frequentare | Bacheca |
|---|---|---|---|---|
| Internship | AAF1466 | 2023/2024 | ||
| MACHINE LEARNING | 10603317 | 2023/2024 | ||
| DEEP LEARNING AND APPLIED ARTIFICIAL INTELLIGENCE | 10593236 | 2023/2024 | ||
| Internship | AAF1466 | 2022/2023 | ||
| DEEP LEARNING AND APPLIED ARTIFICIAL INTELLIGENCE | 10593236 | 2022/2023 | ||
| METODI NUMERICI DELL INFORMATICA | 10593234 | 2022/2023 | ||
| METODI NUMERICI DELL INFORMATICA | 10593234 | 2021/2022 | ||
| DEEP LEARNING AND APPLIED ARTIFICIAL INTELLIGENCE | 10593236 | 2021/2022 | ||
| ALGORITHMS | 1049269 | 2020/2021 | ||
| DEEP LEARNING AND APPLIED ARTIFICIAL INTELLIGENCE | 10593236 | 2020/2021 | ||
| DEEP LEARNING AND APPLIED ARTIFICIAL INTELLIGENCE | 10593236 | 2020/2021 | ||
| DEEP LEARNING AND APPLIED ARTIFICIAL INTELLIGENCE | 10593236 | 2019/2020 | ||
| ALGORITHMS | 1049269 | 2019/2020 | ||
| DEEP LEARNING AND APPLIED ARTIFICIAL INTELLIGENCE | 10593236 | 2019/2020 | ||
| GAMIFICATION E GAME DESIGN | 1047674 | 2018/2019 | ||
| FUNDAMENTALS OF COMPUTER GRAPHICS | 1047628 | 2018/2019 | ||
| COMPUTER GRAPHICS | 1047673 | 2018/2019 | ||
| FOUNDATION OF COMPUTER GRAPHICS | 1044387 | 2018/2019 | ||
| FUNDAMENTALS OF COMPUTER GRAPHICS | 1047628 | 2017/2018 | ||
| METODOLOGIE DI PROGRAMMAZIONE | 1015884 | 2017/2018 |
Contattare il docente via email per concordare un orario.
Emanuele Rodolà is Full Professor of Computer Science at Sapienza University of Rome, where he leads the GLADIA group of Geometry, Learning and Applied AI, funded by an ERC Grant and a Google Research Award, and acts as the Director of the PhD in Computer Science. Previously, he was Assistant and then Associate Professor at Sapienza (2017-2020), a postdoc at USI Lugano (2016-2017), an Alexander von Humboldt Fellow at TU Munich (2013-2016), and a JSPS Research Fellow at The University of Tokyo (2013). He is an ELLIS fellow and a fellow of the Young Academy of Europe, has received a number of research prizes, has been serving in the program and organizing committees of the top rated conferences in computer vision, machine learning and graphics, founded and chaired several successful workshops. His research interests lie at the intersection of geometry processing, graph and geometric deep learning, computer vision, language and signal processing, and has published more than 100 papers in these areas.