Search. Page 2. Author: Yiduo Wang. ... RSVP Speaker: Ruigang Wang Title: A Tutorial on Lipschitz-Bounded Neural Networks Abstract: In many deep learning based applications, it is desirable to learn neural networks …. Seminar: Normalizing Flows and
APPLIED MATHEMATICS HONOURS. Student Handbook 2023. School of Mathematics and Statistics. The University of Sydney. Contents. 1 General Information 1. 2 Applied Mathematics Honours 32.1 Honours structure. 3. 2.2 Coursework (24 credit points). 3. 2.3
This project will be based on the pa-pers Exploration versus exploitation in reinforcement learning: A stochastic control approachand Continuous-time mean-variance portfolio selection: A reinforcement learning frameworkby Wang et
WEAK MARTINGALE SOLUTIONS TO THE STOCHASTIC. LANDAU–LIFSHITZ–GILBERT EQUATION WITH. MULTI-DIMENSIONAL NOISE VIA A CONVERGENT. FINITE-ELEMENT SCHEME. BENIAMIN GOLDYS, JOSEPH GROTOWSKI, AND KIM-NGAN LE. Abstract. We propose an unconditionally
Temam and Wang [45] considered the inertial forms of NSEs on sphere while Temamand Ziane [46], see also [3], proved that the NSE on a 2-dimensional sphere is a limit
Wang, G. S Watson, J. A Watson, L. Wesemann, W. WH Wong; “Challenges and opportunities for innovation in bioinformed sustainable materials”; Commun. ... Ghezzi, M; Wang, P-Y; Kingshott, P and Neto, C. Guiding the dewetting of thin polymer films by