CHEM - PhD Student Seminar - Crystalline Sponge-Method: Crystal Free Crystallography

Student: Mr. Ruel Valerio Robles DE GRANO

Department: Department of Chemistry, HKUST

Supervisor: Professor Ian D. WILLIAMS

03
Dec 2020
Seminar, Lecture, Talk
MATH - Seminar on Applied Mathematics and Machine Learning - Learning assisted modeling of molecules and materials

In recent years, machine learning (ML) has emerged as a promising tool for dealing with the difficulty of representing high dimensional functions.

02
Dec 2020
Information Session, Orientation
Online Information Session for MSc in Data-Driven Modeling via Zoom

Come join this Online Information Session to learn more about:

26
Nov 2020
Seminar, Lecture, Talk
PHYS Seminar - Differentiate Everything: A Lesson from Deep Learning
24
Nov 2020
Seminar, Lecture, Talk
PHYS Seminar - Expert Sharing Seminar
23
Nov 2020
Seminar, Lecture, Talk
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

20
Nov 2020
CHEM - PhD Student Seminar - AIE Nanoparticles (AIE NPs) for Biological Application”

Student: Mr. Wei HE

Department: Department of Chemistry, HKUST

Supervisor: Professor Benzhong TANG

18
Nov 2020
Seminar, Lecture, Talk
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.

18
Nov 2020
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