11月20日
研讨会, 演讲, 讲座
MATH - Seminar on Data Science - Local Elasticity: A Phenomenological Approach Toward Understanding Deep Learning
Motivated by the iterative nature of training neural networks, we ask: If the weights of a neural network are updated using the induced gradient on an image of a tiger, how does this update impact the prediction of the neural network at another image (say, an image o
11月18日
CHEM - PhD Student Seminar - Aggregation-induced White Light Emission
Student: Mr. Xueqian ZHAO
Department: Department of Chemistry, HKUST
Supervisor: Professor Benzhong TANG
11月18日
CHEM - PhD Student Seminar - AIE Nanoparticles (AIE NPs) for Biological Application”
Student: Mr. Wei HE
Department: Department of Chemistry, HKUST
Supervisor: Professor Benzhong TANG
11月18日
研讨会, 演讲, 讲座
MATH - Seminar on Data Science - Theory of Deep Convolutional Neural Networks
Deep learning has been widely applied and brought breakthroughs in speech recognition, computer vision, and many other domains. The involved deep neural network architectures and computational issues have been well studied in machine learning.
11月11日
研讨会, 演讲, 讲座
MATH - Seminar on Applied Mathematics - Thirty Years of Applied Mathematics
The 50's to the 80's saw tremendous growth of applied math, driven mainly by PDEs and numerical algorithms.
11月9日
研讨会, 演讲, 讲座
SSCI / IAS Nobel Prize Popular Science Lectures: Black Holes - The Darkest and Brightest, Densest and Emptiest, Simplest and Most Mysterious - 2020 Nobel Prize in Physics
Abstract