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Theory and Practice of Deep Learning

Data dell'evento: 
Monday, 13 June, 2022 - 09:00
DIAG - Aula Magna
Fabrizio Silvestri: silvestri@diag.uniroma1.it
Please remember that the PhD course Theory and Practice of Deep Learning will start on June 13th and will follow the schedule below:
Theory and Practice of Deep Learning
Organizers: Proff. Fabrizio Silvestri, Michael Bronstein
Prof. Petar Veličković (DeepMind): Graph Neural Networks: geometric, structural and algorithmic perspectives
13 June 2022 (9:00, Aula Magna, DIAG)
Prof. Alfredo Canziani (NYU Courant Institute of Mathematical Sciences): Energy-based models
14 June 2022 (9:00, Aula Magna, DIAG)
Prof. Aleksandra Piktus (HuggingFace): Knowledge-Intensive NLP and Retrieval Augmentation
15 June 2022 (9:00, Aula Magna, DIAG)
Prof. Sanjeev Arora (Princeton University): Rethinking "Optimization" in Deep Learning
16 June 2022, (15:00, Aula Magna, DIAG)
Attendance is going to be in-person (preferred, especially for PhD students) or remote at this zoom link
Additional information can be found on the website of the course: link.


gruppo di ricerca: 
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