8月28日
9:00am - 10:00am
研討會, 演講, 講座
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.
8月28日
9:00am - 10:00am
地點
Room 2463, Academic Building (near Lifts 25-26)
講者/表演者
Mr. Yi RONG
HKUST
HKUST
主辦單位
Department of Mathematics
聯絡方法
mathseminar@ust.hk
付款詳情
對象
Alumni, Faculty and Staff, PG Students, UG Students
語言
英語
其他活動
11月22日
研討會, 演講, 講座
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...
11月8日
研討會, 演講, 講座
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...