28 Aug 2019
9:00am - 10:00am
Seminar, Lecture, Talk
Can machines generate music? Recent deep learning-driven systems have made breakthroughs on this topic. Some famous among them are Coconet, DeepBach, GLSR-VAE, C-RNN-GAN, etc. However the generated music is still not satisfying based on the feedbacks from different music communities.
In this talk, we will analyze and compare various systems and experiments proposed by various researchers, illustrate their highlights and limitations through several examples.
Then we will introduce our new composer and discuss some possible solutions to several main challenges in this area.
In this talk, we will analyze and compare various systems and experiments proposed by various researchers, illustrate their highlights and limitations through several examples.
Then we will introduce our new composer and discuss some possible solutions to several main challenges in this area.
28 Aug 2019
9:00am - 10:00am
Where
Room 2463, Academic Building (near Lifts 25-26)
Speakers/Performers
Mr. Yi RONG
HKUST
HKUST
Organizer(S)
Department of Mathematics
Contact/Enquiries
mathseminar@ust.hk
Payment Details
Audience
Alumni, Faculty and Staff, PG Students, UG Students
Language(s)
English
Other Events
22 Nov 2024
Seminar, Lecture, Talk
IAS / School of Science Joint Lecture - Leveraging Protein Dynamics Memory with Machine Learning to Advance Drug Design: From Antibiotics to Targeted Protein Degradation
Abstract
Protein dynamics are fundamental to protein function and encode complex biomolecular mechanisms. Although Markov state models have made it possible to capture long-timescale protein co...
8 Nov 2024
Seminar, Lecture, Talk
IAS / School of Science Joint Lecture - Some Theorems in the Representation Theory of Classical Lie Groups
Abstract
After introducing some basic notions in the representation theory of classical Lie groups, the speaker will explain three results in this theory: the multiplicity one theorem for classical...